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@oguiza oguiza released this 02 Apr 18:53
· 85 commits to main since this release
0.3.6
881aa5a
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Learn about vigilant mode.

New Features

  • added optional activation to get_X_preds (#715)

  • added external vocab option to dls (#705)

  • allow classification outputs with n dimensions (#704)

  • added get_sweep_config to wandb module (#687)

  • added functionality to run pipeline sweeps (#686)

  • added seed to learners to make training reproducible (#685)

  • added functionality to filter df for required forecasting dates (#679)

  • added option to train model on train only (#671)

Bugs Squashed

  • access all available dataloaders in dls (#724)

  • make all models ending in Plus work with ndim classification targets (#719)

  • make all models ending in Plus work with ndim work with ndim regression/ forecasting targets (#718)

  • added MiniRocket to get_arch (#717)

  • fixed issue with get_arch missing new models (#709)

  • valid_metrics causes an error when using TSLearners (#708)

  • valid_metrics are not shown when an array is passed within splits (#707)

  • TSDatasets w/o tfms and inplace=False creates new X (#695)

  • Prediction and True Values Swapped in plot_forecast (utils.py) (#690)

  • MiniRocket incompatible with latest scikit-learn version (#677)

  • Df2xy causing incorrect splits (#666)

  • Feature Importance & Step Importance Not working (#647)

  • multi-horizon forecasting (#591)

  • Issues saving models with TSMetaDataset Dataloader (#317)

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