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Creates a model version.

Usage

create_model_version(
  client,
  name,
  source,
  description = NULL,
  run_id = NULL,
  run_link = NULL,
  tags = NULL
)

modelRegistryCreateModelVersion(
  client,
  name,
  source,
  description = NULL,
  run_id = NULL,
  run_link = NULL,
  tags = NULL
)

Arguments

client

Required. Instance of DatabricksClient()

name

Required. Register model under this name.

source

Required. URI indicating the location of the model artifacts.

description

Optional description for model version.

run_id

MLflow run ID for correlation, if source was generated by an experiment run in MLflow tracking server.

run_link

MLflow run link - this is the exact link of the run that generated this model version, potentially hosted at another instance of MLflow.

tags

Additional metadata for model version.