v1.7.0

New Features

• support integer refit in cross_validation @jmoralez (#731)
• support forecast_fitted_values in distributed @jmoralez (#732)
• use environment variable to get id as column in outputs @jmoralez (#721)
• support different column names for ids, times and targets @jmoralez (#718)
• add mstl_decomposition function @jmoralez (#701)
• [FEAT] Ability to save and load StatsForecast @akmalsoliev (#667)
• support caching all jitted functions @jmoralez (#651)

Bug Fixes

• fix incorrect computation of n in ARIMA @StatKumar (#708)
• fix predict_insample docstrings @jmoralez (#713)
• fix arima var_coef @jmoralez (#706)
• feat: _calculate_sigma() explicitly handles series with 1 data point (n=0) @cparmet (#699)
• [Feat] Robustified crossvalidation @kdgutier (#668)
• support exogenous features in distributed @jmoralez (#638)
• fix MSTL where trend forecaster supports level @jmoralez (#625)

Documentation

• run how-to docs @jmoralez (#730)
• run getting-started docs @jmoralez (#726)
• add exogenous features support to models table @jmoralez (#714)
• use numpy style in all docstrings @jmoralez (#695)
• Fix Minimal example and ARIMA family heading @yibenhuang (#694)
• fix equations in documentation @jmoralez (#697)
• Isolated import cells [Issue #653] @patrick-dd (#691)
• MLFlow Tutorial @kvnkho (#676)
• Add Mintlify automations @hahnbeelee (#671)
• Correct broken urls in docs @DaveParr (#660)
• Fixed error in GARCH tutorial that corresponds to issue #629 @MMenchero (#650)
• Restoring example using Conformal Prediction on StatsForecast @kvnkho (#643)
• arima model user guide @Naren8520 (#570)

Dependencies

• remove pyarrow dependency for polars @jmoralez (#705)
• [UPDATE] Updated Docker & requirements.txt @akmalsoliev (#672)
• [CHORE] Updating requirements.txt @akmalsoliev (#666)
• test support python 3.11 @msfidelis (#425)

Enhancement

• use frequency validation from utilsforecast @jmoralez (#717)
• improve deprecation error messages @jmoralez (#715)
• migrate plot and generate_series to utils @jmoralez (#636)