update-model-provenance

Description

Updates provenance information for the specified model.

Usage

oci data-science model update-model-provenance [OPTIONS]

Required Parameters

--model-id [text]

The OCID of the model.

Optional Parameters

--from-json [text]

Provide input to this command as a JSON document from a file using the file://path-to/file syntax.

The --generate-full-command-json-input option can be used to generate a sample json file to be used with this command option. The key names are pre-populated and match the command option names (converted to camelCase format, e.g. compartment-id --> compartmentId), while the values of the keys need to be populated by the user before using the sample file as an input to this command. For any command option that accepts multiple values, the value of the key can be a JSON array.

Options can still be provided on the command line. If an option exists in both the JSON document and the command line then the command line specified value will be used.

For examples on usage of this option, please see our "using CLI with advanced JSON options" link: https://docs.cloud.oracle.com/iaas/Content/API/SDKDocs/cliusing.htm#AdvancedJSONOptions

--git-branch [text]

For model reproducibility purposes. Branch of the git repository associated with model training.

--git-commit [text]

For model reproducibility purposes. Commit ID of the git repository associated with model training.

--if-match [text]

For optimistic concurrency control. In the PUT or DELETE call for a resource, set the if-match parameter to the value of the etag from a previous GET or POST response for that resource. The resource will be updated or deleted only if the etag you provide matches the resource's current etag value.

--repository-url [text]

For model reproducibility purposes. URL of the git repository associated with model training.

--script-dir [text]

For model reproducibility purposes. Path to model artifacts.

--training-script [text]

For model reproducibility purposes. Path to the python script or notebook in which the model was trained."