v1.7.0

New Features

• [FEAT] Added TSMixerx model @elephaint (#921)
• Add Time-LLM @marcopeix (#908)
• [FEAT] Added TSMixer model @elephaint (#914)
• Add option to support user defined optimizer for NeuralForecast Models @JQGoh (#901)
• [FEAT] Added NLinear model @ggattoni (#900)
• [FEAT] Added DLinear model @cchallu (#875)
• support refit in cross_validation @jmoralez (#842)
• use environment variable to get id as column in outputs @jmoralez (#841)
• support different column names for ids, times and targets @jmoralez (#838)
• polars support @jmoralez (#829)
• add callbacks to auto models @jmoralez (#795)

Bug Fixes

• [FIX] Avoid raised error for varied step_size parameter during predict_insample() @JQGoh (#933)
• [FIX] 926 auto ensure all models support alias and 924 Configuring hyperparameter space for Auto* Models @elephaint (#927)
• fix base_multivariate window generation @jmoralez (#907)
• Fix optuna multigpu @jmoralez (#889)
• support saving and loading models with alias @jmoralez (#867)
• [FIX] Polars .columns produces list rather than Pandas Index @akmalsoliev (#862)
• add missing models to filename dict @jmoralez (#856)
• ensure exogenous features are lists @jmoralez (#851)
• fix save with save_dataset=False @jmoralez (#850)
• copy config in optuna @jmoralez (#844)
• Fixed: Exception: max_epochs is deprecated, use max_steps instead. @twobitunicorn (#835)
• fix single column 2d array polars df @jmoralez (#830)
• move scalers to core @jmoralez (#813)
• [FIX] Default AutoPatchTST config @cchallu (#811)
• [FIX] ReVin Numerical Stability @dluuo (#781)
• On Windows, prevent long trial directory names @tg2k (#735)

Documentation

• removed documentation for missing argument @yarnabrina (#913)
• feat: Added cross-validation tutorial @MMenchero (#897)
• chore: update license to apache-2 @AzulGarza (#882)
• [FEAT] Model table in README @cchallu (#880)
• redirect to mintlify docs @jmoralez (#816)
• add missing models to documentation @jmoralez (#775)

Dependencies

• add windows to CI @jmoralez (#814)
• address future warnings @jmoralez (#898)
• use scalers from coreforecast @jmoralez (#873)
• add python 3.11 to CI @jmoralez (#839)

Enhancement

• Reduce device transfers @elephaint (#923)
• extract common methods to BaseModel @jmoralez (#915)
• remove TQDMProgressBar callback @jmoralez (#899)
• use fsspec in save and load methods @jmoralez (#895)
• Feature/Check input for NaNs when available_mask = 1 @JQGoh (#894)
• switch flake8 to ruff @Borda (#871)
• use future instead of deprecation warnings @jmoralez (#849)
• add frequency validation and futr_df debugging methods @jmoralez (#833)