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Model Metadata Validation Schema

The documentation for the validation schema can be found here in the DataRobot Docs site.

Transform Task default schema

The default schema is used when a schema isn't supplied for a task. The default allows sparse data and missing values in the input, and the following datatypes:

  • NUM
  • CAT
  • TXT
  • DATE
  • DATE_DURATION

The default output data type is NUM. If any of these values are not appropriate for the task then a schema must be supplied in model-metadata.yaml.

Example typeSchema

This example would be in addition to other required fields in model_metadata.yaml.

- typeSchema:
  - input_requirements:
      - field:  data_types
        condition: NOT_IN
        value: 
          - TXT
          - IMG
          - DATE
      - field: sparse
        condition: EQUALS
        value:  SUPPORTED
      - field: number_of_columns
        condition: NOT_LESS_THAN
        value: 3
      - field: number_of_columns
        condition: LESS_THAN
        value: 15
      - field: contains_missing
        condition: EQUALS
        value: SUPPORTED
    - output_requirements:
        - field: data_types
          condition: EQUALS
          value: NUM
        - field: sparse
          condition: EQUALS
          value: IDENTITY
        - field: number_of_columns
          condition: EQUALS
          value: 1
        - field: contains_missing
          condition: EQUALS
          value: NEVER