75f5092acce738243f4d8dd258bbaa56fcb9f816,sklearn/sklearn-template/template/trainer/model.py,,get_estimator,#Any#,31

Before Change

      ("numeric", numeric_transformer,
       boolean_mask(metadata.NUMERIC_FEATURES)),
      ("numeric_log", numeric_log_transformer,
       boolean_mask(metadata.NUMERIC_FEATURES)),
      ("numeric_bin", numeric_bin_transformer,
       boolean_mask(metadata.NUMERIC_FEATURES)),
      ("categorical", categorical_transformer,

After Change

  feature_columns = metadata.FEATURE_COLUMNS
  numerical_names = metadata.NUMERIC_FEATURES
  categorical_names = metadata.CATEGORICAL_FEATURES

  boolean_mask = functools.partial(utils.boolean_mask, feature_columns)
  numerical_boolean = boolean_mask(numerical_names)
  categorical_boolean = boolean_mask(categorical_names)

  transform_list = []
  // If there exist numerical columns
  if any(numerical_boolean):

Instances