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@tovbinm tovbinm released this Apr 11, 2019 · 51 commits to master since this release

Bug fixes:

  • Fixed local scoring with multipicklist features #243
  • Fixed error messages in DataCutter and DataBalancer #256
  • Fixed bug in in model selector fit method #251
  • Fixed some Transmogrifier defaults to be modifiable / exposed #232
  • Fixed bug in OpXGBoostClassificationModel #229
  • Minor fixes / cleanup on notebooks, Helloworld examples, and developer guide #226, #230, #240, #259

New features / updates:

  • Added transformer classes for common math operations #255, #257
  • Added string transformers for substring search and valid email #265
  • Added scaler and descaler transformers #223
  • Added Raw Feature Filter results e.g., metrics, exclusion reasons to serialization and to ModelInsights #237, #252, #258, #276
  • Changed OpBinScoreEvaluator to allow for lift analysis #233
  • Added random param builder for random hyperparameter search in model selectors #238
  • Added possibility to return top K positives and top K negatives improvement for LOCO #264
  • Added a max cardinality percentage that can be set for pivot #241
  • Added minimum rows for scoring set in RawFeatureFilter #250
  • Allowed copying model instances across multiple threads #270
  • Added stub to allow loading models without workflow #269, #272
  • Made decision tree numeric bucketizer tests less flaky #225
  • Added Jupyter notebooks for samples #231

Dependency updates:

  • Switched to MLeap runtime from Aardpfark for local scoring #249, #261
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