- Action:
    Operation: CATEGORICAL_MAPPING
    Parameters:
      categoryMap: '{"no":"0","yes":"1"}'
      deleteOtherRows: 'false'
      mapType: NUMERIC
      mappingOption: ALL_VALUES
      sourceColumn: 'y'
      targetColumn: y_output
- Action:
    Operation: ONE_HOT_ENCODING
    Parameters:
      sourceColumn: marital
- Action:
    Operation: BINARIZATION
    Parameters:
      flip: 'false'
      sourceColumn: duration
      targetColumn: long_call
      threshold: '300'
- Action:
    Operation: BUCKETIZATION
    Parameters:
      bucketNames: '["1","2","3"]'
      sourceColumn: age
      splits: '["-Infinity","22","42.394","Infinity"]'
      targetColumn: age_binning
  ConditionExpressions:
    - Condition: IS
      Value: '["no"]'
      TargetColumn: loan
- Action:
    Operation: REMOVE_VALUES
    Parameters:
      sourceColumn: default
  ConditionExpressions:
    - Condition: IS
      Value: '["yes"]'
      TargetColumn: default
- Action:
    Operation: FLAG_COLUMN_FROM_PATTERN
    Parameters:
      falseString: '0'
      pattern: 'yes'
      sourceColumn: housing
      targetColumn: house_without_loan
      trueString: '1'
  ConditionExpressions:
    - Condition: IS
      Value: '["no"]'
      TargetColumn: loan
- Action:
    Operation: DELETE
    Parameters:
      sourceColumns: >-
        ["age","job","marital","education","default","housing","loan","contact","month","day_of_week","campaign","pdays","previous","poutcome","emp.var.rate","cons.price.idx","cons.conf.idx","euribor3m","nr.employed","y"]
- Action:
    Operation: MOVE_TO_START
    Parameters:
      sourceColumn: y_output
      targetIndex: NaN