All issues

max_horizon (direct) ignores future exogenous features from X_df — only the first horizon step's values are used

#705

· FarukBuldur opened

on Jul 30, 2026

[Core] Allow NaN target values at `fit`/`preprocess`, dropping them only before model fitting

#704

· simonez-tuidi opened

on Jul 29, 2026

Accept a one-row-per-id DataFrame for `static_features`

#702

· simonez-tuidi opened

on Jul 24, 2026

`DistributedMLForecast.preprocess()` doesn't accept `weight_col`, so it can get misdetected as a static feature

#699

· shanalyb opened

on Jul 22, 2026

Support `models_fit_kwargs` in LightGBMCV.fit

#691

· cespeleta opened

on Jul 17, 2026

Allow `predict(ids=...)` with safe pooled/grouped lag-transform subsets

#649

· simonez-tuidi opened

on May 20, 2026

[Core] Support exogenous transforms inside `MLForecast` and allow raw exogenous inputs to be dropped from the model feature set

#635

· simonez-tuidi opened

on Apr 28, 2026

[Core] Add interpretability capabilities trough SHAP

#150

· AzulGarza opened

on Jun 8, 2023

MLForecast pipeline : Feature extraction/creation + Feature selection + Hyperparameter tuning

#139

· NasreddineD opened

on May 20, 2023