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Direct multi-step forecasting
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Skforecast Docs
GitHub
Home
Home
Welcome to skforecast
Quick start
User Guides
Examples and tutorials
API Reference
FAQ and Tips
Releases
Quick start
Quick start
Introduction to forecasting
Quick start skforecast
User Guides
User Guides
Input data
Recursive multi-step forecasting
Direct multi-step forecasting
Direct multi-step forecasting
Table of contents
Libraries
Data
Train forecaster
Prediction
Feature importance
Extract training matrix
Multi-time series forecasting
Exogenous variables
Custom predictors
Backtesting forecaster
Hyperparameter tuning and lags selection
Scikit-learn Transformers and Pipelines
Prediction intervals
Feature importance
Forecasting with XGBoost
Save and load forecaster
Forecaster in production
Grid search SARIMAX and ARIMA models
Backtesting SARIMAX and ARIMA models
Plot forecaster residuals
Examples and tutorials
Examples and tutorials
Examples and tutorials
API Reference
API Reference
ForecasterAutoreg
ForecasterAutoregCustom
ForecasterAutoregDirect
ForecasterMultiSeries
model_selection
model_selection_multiseries
model_selection_statsmodels
plot
utils
FAQ and Tips
FAQ and Tips
Avoid negative predictions when forecasting
Releases
Table of contents
Libraries
Data
Train forecaster
Prediction
Feature importance
Extract training matrix