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ml-experiment

Manage ML experiments (data science)

Authentication scope: fabric

List ML experiments in a workspace

Terminal window
fabio ml-experiment list --workspace <value>
Flag Type Required Description
--workspace string Yes Workspace ID

Read-only · Returns list

Show details of an ML experiment

Terminal window
fabio ml-experiment show --workspace <value> --id <value>
Flag Type Required Description
--workspace string Yes Workspace ID
--id string Yes ML experiment ID

Read-only · Returns object

Create a new ML experiment

Terminal window
fabio ml-experiment create --workspace <value> --name <value>
Flag Type Required Description
--workspace string Yes Workspace ID
--name string Yes ML experiment display name
--description string No Optional description
--sensitivity-label string No Sensitivity label ID to apply on creation

Mutates state · Returns object

Update ML experiment properties (name and/or description)

Terminal window
fabio ml-experiment update --workspace <value> --id <value>
Flag Type Required Description
--workspace string Yes Workspace ID
--id string Yes ML experiment ID
--name string No New display name
--description string No New description

Mutates state · Returns object

Delete an ML experiment

Terminal window
fabio ml-experiment delete --workspace <value> --id <value>
Flag Type Required Description
--workspace string Yes Workspace ID
--id string Yes ML experiment ID
--hard-delete bool No Permanently delete (cannot be recovered)

Mutates state · Destructive · Returns void

List runs in an experiment (MLflow tracking: parameters, metrics, status)

Terminal window
fabio ml-experiment list-runs --workspace <value> --id <value>
Flag Type Required Description
--workspace string Yes Workspace ID
--id string Yes ML experiment ID
--filter string No MLflow filter expression (e.g. “metrics.accuracy > 0.9 and status = ‘FINISHED’”)
--order-by string No Order-by expression (e.g. start_time DESC, metrics.accuracy DESC)

Read-only · Returns list

Show details of a single run (info, parameters, metrics, tags)

Terminal window
fabio ml-experiment get-run --workspace <value> --run-id <value>
Flag Type Required Description
--workspace string Yes Workspace ID
--run-id string Yes MLflow run ID

Read-only · Returns object

Get the logged history of a single metric across a run’s steps

Terminal window
fabio ml-experiment get-metric-history --workspace <value> --run-id <value> --metric <value>
Flag Type Required Description
--workspace string Yes Workspace ID
--run-id string Yes MLflow run ID
--metric string Yes Metric key (e.g. “accuracy”, “loss”)

Read-only · Returns list