| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| README.md | 2023-04-02 | 2.5 kB | |
| v0.3.6.tar.gz | 2023-04-02 | 43.3 MB | |
| v0.3.6.zip | 2023-04-02 | 43.5 MB | |
| Totals: 3 Items | 86.8 MB | 0 | |
New Features
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added optional activation to get_X_preds (#715)
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added external vocab option to dls (#705)
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allow classification outputs with n dimensions (#704)
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added get_sweep_config to wandb module (#687)
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added functionality to run pipeline sweeps (#686)
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added seed to learners to make training reproducible (#685)
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added functionality to filter df for required forecasting dates (#679)
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added option to train model on train only (#671)
Bugs Squashed
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access all available dataloaders in dls (#724)
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make all models ending in Plus work with ndim classification targets (#719)
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make all models ending in Plus work with ndim work with ndim regression/ forecasting targets (#718)
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added MiniRocket to get_arch (#717)
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fixed issue with get_arch missing new models (#709)
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valid_metrics causes an error when using TSLearners (#708)
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valid_metrics are not shown when an array is passed within splits (#707)
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TSDatasets w/o tfms and inplace=False creates new X (#695)
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Prediction and True Values Swapped in plot_forecast (utils.py) (#690)
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MiniRocket incompatible with latest scikit-learn version (#677)
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Df2xy causing incorrect splits (#666)
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Feature Importance & Step Importance Not working (#647)
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multi-horizon forecasting (#591)
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Issues saving models with TSMetaDataset Dataloader (#317)