Cancel a experiment runs in AzureML using python

Question

Found that some of the runs did not get failed and were in running state. I assume these might be consuming compute targets. I tried to cancel the run which are in Running state from Azure ML Runs web UI, but was not working.

Answer 1

First get the experiment object that have the Runs to cancel.

experiment = Experiment.list(workspace=workspace_obj, experiment_name='experiment_name')[0]

or

experiment = ws.experiments['experiment_name']

Cancel all runs which are in running state.

for run in experiment.get_runs():
    print(run.id)
    if run.status=="Running":
        run.cancel()

Again check the status of each run:

for run in experiment.get_runs():
    print(run.id)
    print(run.status)