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Welcome to skforecast
Welcome to skforecast
Table of contents
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Forecasters
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Introduction to forecasting
Quick start
User Guides
Examples and tutorials
API Reference
FAQ and Tips
Releases
Introduction to forecasting
Introduction to forecasting
Introduction to forecasting
Quick start
Quick start
Quick start
Forecaster Parameters
Forecaster Attributes
User Guides
User Guides
Input data
Recursive multi-step forecasting
Direct multi-step forecasting
Independent multi-time series forecasting
Dependent multivariate series forecasting
ARIMA and SARIMAX forecasting
Exogenous variables
Custom predictors
Weighted time series forecasting
Backtesting forecaster
Hyperparameter tuning and lags selection
Scikit-learn Transformers and Pipelines
Probabilistic forecasting
Feature importances
Categorical features
Forecasting with XGBoost and LightGBM
Forecaster in production
Save and load forecaster
Shap-values
Skforecast in GPU
Plot forecaster residuals
Examples and tutorials
Examples and tutorials
Examples and tutorials
API Reference
API Reference
ForecasterAutoreg
ForecasterAutoregCustom
ForecasterAutoregDirect
ForecasterMultiSeries
ForecasterMultiSeriesCustom
ForecasterMultiVariate
ForecasterSarimax
Sarimax
model_selection
model_selection_multiseries
model_selection_sarimax
preprocessing
plot
utils
exceptions
FAQ and Tips
FAQ and Tips
Table of contents
Time series differentiation
Avoid negative predictions when forecasting
Forecasting time series with missing values
Cyclical features in time series
Parallelization in skforecast
Profiling skforecast
Releases
Authors
Table of contents
About The Project
Installation
Dependencies
Hard dependencies
Optional dependencies
Forecasters
Features
Examples and tutorials
English
Español
How to contribute
Citation
Donating
License
Welcome to skforecast