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ML Model
This schema defines the Model entity. Models are algorithms trained on data to find patterns or make predictions.
Type: object
This schema does not accept additional properties.

Properties

Type definitions in this schema

featureType

  • This enum defines the type of data stored in a ML Feature.
  • Type: string
  • The value is restricted to the following:
    1. 1.
      "numerical"
    2. 2.
      "categorical"

featureSourceDataType

  • This enum defines the type of data of a ML Feature source.
  • Type: string
  • The value is restricted to the following:
    1. 1.
      "integer"
    2. 2.
      "number"
    3. 3.
      "string"
    4. 4.
      "array"
    5. 5.
      "date"
    6. 6.
      "timestamp"
    7. 7.
      "object"
    8. 8.
      "boolean"

featureName

  • Local name (not fully qualified name) of the ML Feature.
  • Type: string
  • The value must match this pattern: ^[^.]*$
  • Length: between 1 and 128

featureSourceName

  • Local name (not fully qualified name) of a ML Feature source.
  • Type: string
  • The value must match this pattern: ^[^.]*$
  • Length: between 1 and 128

fullyQualifiedFeatureSourceName

  • Fully qualified name of the ML Feature Source that includes serviceName.[databaseName].tableName/fileName/apiName.columnName[.nestedColumnName].
  • Type: string
  • Length: between 1 and 256

fullyQualifiedFeatureName

  • Fully qualified name of the ML Feature that includes modelName.featureName.
  • Type: string
  • Length: between 1 and 256

featureSource

mlFeature

mlHyperParameter

  • This schema defines the type for an ML HyperParameter used in an ML Model.
  • Type: object
  • This schema does not accept additional properties.
  • Properties
    • name
      • Hyper parameter name.
      • Type: string
    • value
      • Hyper parameter value.
      • Type: string
    • description
      • Description of the Hyper Parameter.
      • Type: string

mlStore

This document was updated on: Tuesday, January 25, 2022
Last modified 23h ago