Create and manage experiment runs

Python

from typing import Optional, Union

from google.cloud import aiplatform


def create_experiment_run_sample(
    experiment_name: str,
    run_name: str,
    experiment_run_tensorboard: Optional[Union[str, aiplatform.Tensorboard]],
    project: str,
    location: str,
):
    aiplatform.init(experiment=experiment_name, project=project, location=location)

    aiplatform.start_run(run=run_name, tensorboard=experiment_run_tensorboard)

• experiment_name: Provide the name of your experiment. You can find your list of experiments in the Cloud de Confiance console by selecting "Experiments" in the section nav.
• run_name: Specify a run name to associate with your current session. See start_run in the Agent Platform SDK reference documentation.
• experiment_run_tensorboard: Optional. A backing TensorBoard resource to enable and store time series metrics logged to this experiment run using log_time_series_metrics.
• project: . You can find these IDs in the Cloud de Confiance console welcome page.
• location: See List of available locations

Python

from google.cloud import aiplatform


def end_experiment_run_sample(
    experiment_name: str,
    run_name: str,
    project: str,
    location: str,
):
    aiplatform.init(experiment=experiment_name, project=project, location=location)

    aiplatform.start_run(run=run_name, resume=True)

    aiplatform.end_run()

• experiment_name: Provide the name of your experiment. You can find your list of experiments in the Cloud de Confiance console by selecting "Experiments" in the section nav.
• run_name: Specify a run name.
• project: . You can find these in the Cloud de Confiance console welcome page.
• location: See List of available locations

Python

from google.cloud import aiplatform


def resume_experiment_run_sample(
    experiment_name: str,
    run_name: str,
    project: str,
    location: str,
):
    aiplatform.init(experiment=experiment_name, project=project, location=location)

    aiplatform.start_run(run=run_name, resume=True)

• experiment_name: Provide the name of your experiment. You can find your list of experiments in the Cloud de Confiance console by selecting "Experiments" in the section nav.
• run_name: Specify name of run that you want to resume.
• project: . You can find these in the Cloud de Confiance console welcome page.
• location: See List of available locations

Python

from typing import Union

from google.cloud import aiplatform


def delete_experiment_run_sample(
    run_name: str,
    experiment: Union[str, aiplatform.Experiment],
    project: str,
    location: str,
    delete_backing_tensorboard_run: bool = False,
):
    experiment_run = aiplatform.ExperimentRun(
        run_name=run_name, experiment=experiment, project=project, location=location
    )

    experiment_run.delete(delete_backing_tensorboard_run=delete_backing_tensorboard_run)

• experiment: The name or instance of this experiment. You can find your list of experiments in the Cloud de Confiance console by selecting "Experiments" in the section nav.
• run_name: Specify name of run that you want to delete.
• project: . You can find these in the Cloud de Confiance console welcome page.
• location: See List of available locations
• delete_backing_tensorboard_run: Whether to delete the backing Vertex AI TensorBoard run that stores time series metrics for this run.

Python

from typing import Union

from google.cloud import aiplatform


def update_experiment_run_state_sample(
    run_name: str,
    experiment: Union[str, aiplatform.Experiment],
    project: str,
    location: str,
    state: aiplatform.gapic.Execution.State,
) -> None:
    experiment_run = aiplatform.ExperimentRun(
        run_name=run_name,
        experiment=experiment,
        project=project,
        location=location,
    )

    experiment_run.update_state(state)

• run_name: run name associated with your experiment
• experiment_name: name of your experiment. You can find your list of experiments in the Cloud de Confiance console by selecting Experiments in the section nav.
• project: . You can find these Project IDs in the Cloud de Confiance console welcome page.
• location: See List of available locations
• state: Possible values for state, which shows up as "status" in the Cloud de Confiance console, are:
  • aiplatform.gapic.Execution.State.CACHED
  • aiplatform.gapic.Execution.State.CANCELLED
  • aiplatform.gapic.Execution.State.COMPLETE
  • aiplatform.gapic.Execution.State.FAILED
  • aiplatform.gapic.Execution.State.NEW
  • aiplatform.gapic.Execution.State.RUNNING