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