v0.9.1

New Features

• support predicting a subset of series @jmoralez (#183)

Enhancement

• raise informative error when interpreting dynamic features as static @jmoralez (#182)

v0.9.0

Enhancement

• faster MLForecast.preprocess @jmoralez (#179)
• deprecate dynamic_dfs argument in favor of X_df @jmoralez (#176)
• improve static_features_ definition @jmoralez (#175)

v0.8.1

Bug Fixes

• fix TimeSeries.update method @jmoralez (#173)
• fix static_features order @jmoralez (#174)

v0.8.0

New Features

• Add LocalStandardScaler @jmoralez (#171)

Enhancement

• make argument names compatible with other nixtla libraries @jmoralez (#166)

Bug Fixes

• fix keep_last_n with target_transforms @jmoralez (#171)

v0.7.4

New Features

• add cross validation fitted values @jmoralez (#164)
• allow id_col in static_features @jmoralez (#161)

Enhancement

• raise error for wrong frequency in cross_validation @jmoralez (#160)
• Add new release drafter @FedericoGarza (#146)
• Add new issue template @FedericoGarza (#145)

v0.7.3

Enhancement

• extend custom metric signature in LightGBMCV and add example @jmoralez (#137)

v0.7.2

Bug Fixes

• use target_col in conformity scores @jmoralez (#134)

Enhancement

• Allow intervals for horizon lower than window size @FedericoGarza (#129)

v0.7.1

New Features

• add TimeSeries.update method to update target values @jmoralez (#119)

Documentation

• fix slack link in README @mergenthaler (#117)

Maintenance

• set lower bound on spark for tests @jmoralez (#118)

Enhancement

• remove dynamic_dfs argument from LightGBMCV when it can be inferred @jmoralez (#125)

v0.7.0

New Features

• add target_transforms @jmoralez (#110)
• add ray integration @FedericoGarza (#104)
• add input_size argument to cross_validation @jmoralez (#107)
• add fugue backend for distributed training with spark and dask @jmoralez (#90)
• add conformal distribution strategy @FedericoGarza (#97)

Breaking

• remove id_col='index' and set defaults for column names @jmoralez (#114)
• remove Forecast object @jmoralez (#113)
• replace dask-based distributed forecast with fugue-based @jmoralez (#102)

Documentation

• improve readme @FedericoGarza (#111)
• add fugue to docs @jmoralez (#100)
• add transfer learning tutorial @FedericoGarza (#93)
• fix prediction intervals plot @FedericoGarza (#92)
• Add prediction intervals tutorial @FedericoGarza (#87)

Maintenance

• set encoding on README open @jmoralez (#112)
• split distributed tests in CI @jmoralez (#99)

Enhancement

• extract distributed fit logic to model classes @jmoralez (#103)
• vectorize prediction intervals creation @jmoralez (#101)

v0.6.0

New Features

• Add prediction (conformal) intervals @FedericoGarza (#86)
• Add nbdev merge to gitattributes @FedericoGarza (#85)

Bug Fixes

• remove lightgbm import from project namespace @jmoralez (#88)

Maintenance

• automate release @jmoralez (#89)