Comments (1)
Hi @yeungsk, thanks for using mlforecast and for the excellent bug report. I'll open a PR for a fix and make a patch release.
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Related Issues (20)
- [Distributed] Adding external variable for distributed HOT 10
- [utils] Move `backtest_splits` to `utilsforecast`
- [Core] Support naming features
- [MLForecast] lag_transforms with different features packages HOT 6
- MLForecast: Core: Add prediction intervals to forecast_fitted_values
- [Core] Saving of the model HOT 20
- [core]Using multiple models can cause `new_x` lag feature shift HOT 2
- [Core]`ts.update` method may not support target_transforms,lag_transforms and date_features HOT 1
- [Model] Distributed version of the model giving Arrow Capacity error HOT 6
- predict() and cross_validation() outputs inconsistency HOT 6
- Dynamic features for training HOT 1
- model.predict encounters an error HOT 3
- Does mlforecast train a single global model or one model per serie? HOT 2
- mlforecast: can the number of exogenous variables be different for different unique_id? HOT 2
- MLforecast does not work with with PyArrow dates HOT 2
- Fcst.predict does not accept X_df with dynamic exogenous variables HOT 2
- [Model] Distributed and Non-distributed version of the models giving different result HOT 8
- [MLForecast: test set eval and early stopping ] HOT 2
- AutoDifferences, AutoSeasonalityAndDifferences result in "AttributeError: 'NoneType' object has no attribute 'AutoDifferences'" HOT 2
- Lag feature: how initial values are treated or populated once the data has been shifted? HOT 2
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