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OpenMetadata/openmetadata-docs/content/v1.3.x/main-concepts/metadata-standard/schemas/api/data/createMlModel.md
Pere Miquel Brull ce15728327
MINOR - Docs 1.3 BETA & Slack Alert (#14961) 
* MINOR - Docs 1.3 BETA & Slack Alert

* MINOR - Docs 1.3 BETA & Slack Alert
2024-01-31 07:16:22 +01:00

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createMlModel /main-concepts/metadata-standard/schemas/api/data/createmlmodel

CreateMlModelRequest

Create Ml Model entity request

Properties

  • name: Name that identifies this ML model. Refer to ../../type/basic.json#/definitions/entityName.
  • displayName (string): Display Name that identifies this ML model. It could be title or label from the source services.
  • description: Description of the ML model instance. How it was trained and for what it is used. Refer to ../../type/basic.json#/definitions/markdown.
  • algorithm (string): Algorithm used to train the ML Model.
  • mlFeatures (array): Features used to train the ML Model. Default: None.
    • Items: Refer to ../../entity/data/mlmodel.json#/definitions/mlFeature.
  • target: For supervised ML Models, the value to estimate. Refer to ../../type/basic.json#/definitions/entityName.
  • mlHyperParameters (array): Hyper Parameters used to train the ML Model. Default: None.
    • Items: Refer to ../../entity/data/mlmodel.json#/definitions/mlHyperParameter.
  • dashboard: Performance Dashboard fqn to track metric evolution. Refer to ../../type/basic.json#/definitions/fullyQualifiedEntityName.
  • mlStore: Location containing the ML Model. It can be a storage layer and/or a container repository. Refer to ../../entity/data/mlmodel.json#/definitions/mlStore.
  • server: Endpoint that makes the ML Model available, e.g,. a REST API serving the data or computing predictions. Refer to ../../type/basic.json#/definitions/href.
  • tags (array): Tags for this ML Model. Default: None.
    • Items: Refer to ../../type/tagLabel.json.
  • owner: Owner of this database. Refer to ../../type/entityReference.json.
  • service: Link to the MLModel service fqn where this pipeline is hosted in. Refer to ../../type/basic.json#/definitions/fullyQualifiedEntityName.
  • extension: Entity extension data with custom attributes added to the entity. Refer to ../../type/basic.json#/definitions/entityExtension.
  • sourceUrl: Source URL of mlModel. Refer to ../../type/basic.json#/definitions/sourceUrl.
  • domain (string): Fully qualified name of the domain the MLModel belongs to.
  • lifeCycle: Life Cycle of the entity. Refer to ../../type/lifeCycle.json.

Documentation file automatically generated at 2023-10-27 13:55:46.343512.