OpenMetadata/openmetadata-docs/content/v1.9.x/main-concepts/metadata-standard/schemas/api/data/createMlModel.md

title	description	slug
Create ML Model API | OpenMetadata ML Model API	Connect Createmlmodel to enable streamlined access, monitoring, or search of enterprise data using secure and scalable integrations.	/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. Default: "mlmodel".
• mlFeatures (array): Features used to train the ML Model. Default: null.
  • 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: null.
  • 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: null.
  • Items: Refer to ../../type/tagLabel.json.
• owners: Owners of this database. Refer to ../../type/entityReferenceList.json. Default: null.
• 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.
• dataProducts (array): List of fully qualified names of data products this entity is part of.
  • Items: Refer to ../../type/basic.json#/definitions/fullyQualifiedEntityName.
• lifeCycle: Life Cycle of the entity. Refer to ../../type/lifeCycle.json.
• sourceHash (string): Source hash of the entity.

Documentation file automatically generated at 2025-01-15 09:05:41.923720+00:00.