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Beta 0.3.3

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@ryanurbs ryanurbs released this 23 Sep 01:45

Major Updates

  • Added a new data cleaning element - removal of invariant features. During C2 cleaning phase of data processing, features with only one value, only Nans or a mix of one value and Nan are removed from the dataset. This has been similarly updated for the replication phase, removing the same features that were removed during the original Phase 1 data cleaning.

Minor Updates

  • Fix to algorithm ordering in figures within Jupyter notebook and Google Colab notebook run modes.
  • Updated replication phase PDF report to simplify the data processing report
  • Fixed handling of (as of yet) unseen values in binary categorical variables during replication phase. Now these are converted to Nans, since we can't introduce a new feature at this point (since it was not included in modeling)
  • Fixed issue with naming of engineered missingness features
  • Fixed issue with running STREAMLINE on cluster in legacy mode without specifying files for categorical or quantitative features.
  • Updated text size on first page of PDF report