Models Examples

First we must do some setup

import chimeric_tools.Simulation as ctc
import chimeric_tools.Data as ctd
import chimeric_tools.models as ctm
from datetime import date
%matplotlib inline
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import seaborn as sns
plt.rc("figure", figsize=(16, 6))
plt.rc("savefig", dpi=90)
plt.rc("font", family="sans-serif")
plt.rc("font", size=14)

import warnings
warnings.filterwarnings('ignore')

/opt/anaconda3/envs/science/lib/python3.9/site-packages/xgboost/compat.py:36: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.
  from pandas import MultiIndex, Int64Index

Training Simulated Data

This is the only example you will need in this module. We are going to use simulated data and make a forecasts 1, 2, 3, and 4 weeks ahead for each week starting 15 weeks after the start_date.

bs = ctc.COVID(start_date="2020-01-01", end_date="2021-07-31", geo_values=["US", "42095"], include=["cases"]).simulate("auto", 5)
preds = ctm.train_simulated_data(bs, ["AR3", "AR6", "ridge"], target="cases")

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 29]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:26
Last fit date: 2022-09-01 12:54:26
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 30]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:26
Last fit date: 2022-09-01 12:54:26
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 31]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:26
Last fit date: 2022-09-01 12:54:26
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 32]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:26
Last fit date: 2022-09-01 12:54:26
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 33]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:26
Last fit date: 2022-09-01 12:54:26
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 34]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:26
Last fit date: 2022-09-01 12:54:26
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 35]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:26
Last fit date: 2022-09-01 12:54:26
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 36]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:26
Last fit date: 2022-09-01 12:54:26
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 37]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:26
Last fit date: 2022-09-01 12:54:26
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 38]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:26
Last fit date: 2022-09-01 12:54:26
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 39]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:26
Last fit date: 2022-09-01 12:54:26
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 40]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:26
Last fit date: 2022-09-01 12:54:26
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 41]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:26
Last fit date: 2022-09-01 12:54:26
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 42]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:26
Last fit date: 2022-09-01 12:54:26
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 43]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:26
Last fit date: 2022-09-01 12:54:26
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 44]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:26
Last fit date: 2022-09-01 12:54:26
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 45]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 46]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 47]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 48]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 49]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 50]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 51]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 52]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 53]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 54]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 55]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 56]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 57]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 58]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 59]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 60]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 61]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 62]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 63]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 64]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 65]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 66]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 67]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 68]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 69]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 70]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 71]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 72]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 73]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 74]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 75]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 76]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 77]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:27
Last fit date: 2022-09-01 12:54:27
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 78]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:28
Last fit date: 2022-09-01 12:54:28
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 79]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:28
Last fit date: 2022-09-01 12:54:28
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 29]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 30]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 31]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 32]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 33]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 34]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 35]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 36]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 37]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 38]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 39]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 40]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 41]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 42]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 43]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 44]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 45]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 46]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 47]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 48]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 49]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 50]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 51]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 52]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 53]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 54]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 55]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 56]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 57]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 58]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 59]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 60]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 61]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 62]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 63]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 64]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 65]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:31
Last fit date: 2022-09-01 12:54:31
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 66]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:32
Last fit date: 2022-09-01 12:54:32
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 67]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:32
Last fit date: 2022-09-01 12:54:32
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 68]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:32
Last fit date: 2022-09-01 12:54:32
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 69]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:32
Last fit date: 2022-09-01 12:54:32
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 70]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:32
Last fit date: 2022-09-01 12:54:32
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 71]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:32
Last fit date: 2022-09-01 12:54:32
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 72]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:32
Last fit date: 2022-09-01 12:54:32
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 73]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:32
Last fit date: 2022-09-01 12:54:32
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 74]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:32
Last fit date: 2022-09-01 12:54:32
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 75]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:32
Last fit date: 2022-09-01 12:54:32
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 76]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:32
Last fit date: 2022-09-01 12:54:32
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 77]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:32
Last fit date: 2022-09-01 12:54:32
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 78]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:32
Last fit date: 2022-09-01 12:54:32
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 79]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:32
Last fit date: 2022-09-01 12:54:32
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 29]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:35
Last fit date: 2022-09-01 12:54:35
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 30]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:35
Last fit date: 2022-09-01 12:54:35
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 31]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:35
Last fit date: 2022-09-01 12:54:35
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 32]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:35
Last fit date: 2022-09-01 12:54:35
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 33]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:35
Last fit date: 2022-09-01 12:54:35
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 34]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:35
Last fit date: 2022-09-01 12:54:35
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 35]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:35
Last fit date: 2022-09-01 12:54:35
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 36]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:35
Last fit date: 2022-09-01 12:54:35
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 37]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:35
Last fit date: 2022-09-01 12:54:35
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 38]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:35
Last fit date: 2022-09-01 12:54:35
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 39]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:35
Last fit date: 2022-09-01 12:54:35
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 40]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:35
Last fit date: 2022-09-01 12:54:35
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 41]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:35
Last fit date: 2022-09-01 12:54:35
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 42]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:35
Last fit date: 2022-09-01 12:54:35
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 43]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 44]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 45]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 46]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 47]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 48]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 49]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 50]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 51]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 52]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 53]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 54]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 55]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 56]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 57]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 58]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 59]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 60]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 61]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 62]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 63]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 64]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 65]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 66]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 67]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 68]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 69]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 70]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 71]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 72]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 73]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 74]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 75]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 76]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 77]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:36
Last fit date: 2022-09-01 12:54:36
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 78]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:37
Last fit date: 2022-09-01 12:54:37
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 79]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:37
Last fit date: 2022-09-01 12:54:37
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 29]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 30]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 31]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 32]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 33]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 34]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 35]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 36]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 37]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 38]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 39]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 40]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 41]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 42]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 43]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 44]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 45]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 46]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 47]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 48]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 49]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 50]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 51]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 52]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 53]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 54]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 55]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:40
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 56]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:40
Last fit date: 2022-09-01 12:54:41
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 57]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:41
Last fit date: 2022-09-01 12:54:41
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 58]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:41
Last fit date: 2022-09-01 12:54:41
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 59]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:41
Last fit date: 2022-09-01 12:54:41
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 60]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:41
Last fit date: 2022-09-01 12:54:41
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 61]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:41
Last fit date: 2022-09-01 12:54:41
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 62]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:41
Last fit date: 2022-09-01 12:54:41
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 63]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:41
Last fit date: 2022-09-01 12:54:41
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 64]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:41
Last fit date: 2022-09-01 12:54:41
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 65]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:41
Last fit date: 2022-09-01 12:54:41
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 66]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:41
Last fit date: 2022-09-01 12:54:41
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 67]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:41
Last fit date: 2022-09-01 12:54:41
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 68]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:41
Last fit date: 2022-09-01 12:54:41
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 69]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:41
Last fit date: 2022-09-01 12:54:41
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 70]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:41
Last fit date: 2022-09-01 12:54:41
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 71]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:41
Last fit date: 2022-09-01 12:54:41
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 72]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:41
Last fit date: 2022-09-01 12:54:41
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 73]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:41
Last fit date: 2022-09-01 12:54:41
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 74]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:41
Last fit date: 2022-09-01 12:54:41
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 75]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:41
Last fit date: 2022-09-01 12:54:41
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 76]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:41
Last fit date: 2022-09-01 12:54:41
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 77]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:41
Last fit date: 2022-09-01 12:54:41
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 78]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:41
Last fit date: 2022-09-01 12:54:41
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 79]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:41
Last fit date: 2022-09-01 12:54:41
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 29]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 30]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 31]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 32]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 33]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 34]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 35]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 36]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 37]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 38]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 39]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 40]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 41]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 42]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 43]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 44]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 45]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 46]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 47]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 48]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 49]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 50]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 51]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 52]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 53]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 54]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 55]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 56]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 57]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 58]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:45
Last fit date: 2022-09-01 12:54:45
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 59]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:46
Last fit date: 2022-09-01 12:54:46
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 60]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:46
Last fit date: 2022-09-01 12:54:46
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 61]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:46
Last fit date: 2022-09-01 12:54:46
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 62]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:46
Last fit date: 2022-09-01 12:54:46
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 63]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:46
Last fit date: 2022-09-01 12:54:46
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 64]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:46
Last fit date: 2022-09-01 12:54:46
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 65]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:46
Last fit date: 2022-09-01 12:54:46
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 66]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:46
Last fit date: 2022-09-01 12:54:46
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 67]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:46
Last fit date: 2022-09-01 12:54:46
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 68]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:46
Last fit date: 2022-09-01 12:54:46
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 69]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:46
Last fit date: 2022-09-01 12:54:46
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 70]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:46
Last fit date: 2022-09-01 12:54:46
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 71]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:46
Last fit date: 2022-09-01 12:54:46
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 72]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:46
Last fit date: 2022-09-01 12:54:46
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 73]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:46
Last fit date: 2022-09-01 12:54:46
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 74]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:46
Last fit date: 2022-09-01 12:54:46
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 75]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:46
Last fit date: 2022-09-01 12:54:46
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 76]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:46
Last fit date: 2022-09-01 12:54:46
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 77]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:46
Last fit date: 2022-09-01 12:54:46
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 78]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:46
Last fit date: 2022-09-01 12:54:46
Skforecast version: 0.4.3

=================
ForecasterAutoreg
=================
Regressor: Ridge()
Lags: [ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]
Window size: 15
Included exogenous: False
Type of exogenous variable: None
Exogenous variables names: None
Training range: [0, 79]
Training index type: RangeIndex
Training index frequency: 1
Regressor parameters: {'alpha': 1.0, 'copy_X': True, 'fit_intercept': True, 'max_iter': None, 'normalize': 'deprecated', 'positive': False, 'random_state': None, 'solver': 'auto', 'tol': 0.001}
Creation date: 2022-09-01 12:54:46
Last fit date: 2022-09-01 12:54:46
Skforecast version: 0.4.3

Plotting the data

Now it is time to plot the data to show what has actually happened under the hood

mask = (preds.sim == 0) & (preds.forecast_date == date(2021, 7, 25)) & (preds.model == "AR6")
sub_data = bs.loc[bs.sim == 0]
sub_preds = preds.loc[mask]
ctm.plot_single_predictions(sub_data, sub_preds, "cases")

mask = (preds.sim == 0) & (preds.forecast_date == date(2021, 7, 25)) & (preds.model == "ridge")
sub_data = bs.loc[bs.sim == 0]
sub_preds = preds.loc[mask]
ctm.plot_single_predictions(sub_data, sub_preds, "cases")