Class Experiment (1.75.0)

Experiment(
    experiment_name: str,
    *,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
)

Represents a Vertex AI Experiment resource.

Properties

backing_tensorboard_resource_name

The Tensorboard resource associated with this Experiment if there is one.

dashboard_url

Cloud console URL for this resource.

name

The name of this experiment.

resource_name

The Metadata context resource name of this experiment.

Methods

Experiment

Experiment(
    experiment_name: str,
    *,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
)

my_experiment = aiplatform.Experiment('my-experiment')

Parameters
Name	Description
`experiment_name`	`str` Required. The name or resource name of this experiment. Resource name is of the format: `projects/123/locations/us-central1/metadataStores/default/contexts/my-experiment`
`project`	`str` Optional. Project where this experiment is located. Overrides project set in aiplatform.init.
`location`	`str` Optional. Location where this experiment is located. Overrides location set in aiplatform.init.
`credentials`	`auth_credentials.Credentials` Optional. Custom credentials used to retrieve this experiment. Overrides credentials set in aiplatform.init.

assign_backing_tensorboard

assign_backing_tensorboard(
    tensorboard: typing.Union[
        google.cloud.aiplatform.tensorboard.tensorboard_resource.Tensorboard, str
    ]
)

Assigns tensorboard as backing tensorboard to support time series metrics logging.

tb = aiplatform.Tensorboard('tensorboard-resource-id')
my_experiment = aiplatform.Experiment('my-experiment')
my_experiment.assign_backing_tensorboard(tb)

Parameter
Name	Description
`tensorboard`	`Union[aiplatform.Tensorboard, str]` Required. Tensorboard resource or resource name to associate to this experiment.

Exceptions
Type	Description
`ValueError`	If this experiment already has a previously set backing tensorboard resource.
`ValueError`	If Tensorboard is not in same project and location as this experiment.

create

create(
    experiment_name: str,
    *,
    description: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
) -> google.cloud.aiplatform.metadata.experiment_resources.Experiment

Creates a new experiment in Vertex AI Experiments.

my_experiment = aiplatform.Experiment.create('my-experiment', description='my description')

Parameters
Name	Description
`experiment_name`	`str` Required. The name of this experiment.
`description`	`str` Optional. Describes this experiment's purpose.
`project`	`str` Optional. Project where this experiment will be created. Overrides project set in aiplatform.init.
`location`	`str` Optional. Location where this experiment will be created. Overrides location set in aiplatform.init.
`credentials`	`auth_credentials.Credentials` Optional. Custom credentials used to create this experiment. Overrides credentials set in aiplatform.init.

delete

delete(*, delete_backing_tensorboard_runs: bool = False)

Deletes this experiment all the experiment runs under this experiment

Does not delete Pipeline runs, Artifacts, or Executions associated to this experiment or experiment runs in this experiment.

my_experiment = aiplatform.Experiment('my-experiment')
my_experiment.delete(delete_backing_tensorboard_runs=True)

Parameter
Name	Description
`delete_backing_tensorboard_runs`	`bool` Optional. If True will also delete the Tensorboard Runs associated to the experiment runs under this experiment that we used to store time series metrics.

get

get(
    experiment_name: str,
    *,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
) -> typing.Optional[google.cloud.aiplatform.metadata.experiment_resources.Experiment]

Gets experiment if one exists with this experiment_name in Vertex AI Experiments.

Parameters
Name	Description
`experiment_name`	`str` Required. The name of this experiment.
`project`	`str` Optional. Project used to retrieve this resource. Overrides project set in aiplatform.init.
`location`	`str` Optional. Location used to retrieve this resource. Overrides location set in aiplatform.init.
`credentials`	`auth_credentials.Credentials` Optional. Custom credentials used to retrieve this resource. Overrides credentials set in aiplatform.init.

get_backing_tensorboard_resource

get_backing_tensorboard_resource() -> (
    typing.Optional[
        google.cloud.aiplatform.tensorboard.tensorboard_resource.Tensorboard
    ]
)

Get the backing tensorboard for this experiment if one exists.

my_experiment = aiplatform.Experiment('my-experiment')
tb = my_experiment.get_backing_tensorboard_resource()

get_data_frame

get_data_frame(*, include_time_series: bool = True) -> pd.DataFrame

Get parameters, metrics, and time series metrics of all runs in this experiment as Dataframe.

my_experiment = aiplatform.Experiment('my-experiment')
df = my_experiment.get_data_frame()

Parameter
Name	Description
`include_time_series`	`bool` Optional. Whether or not to include time series metrics in df. Default is True. Setting to False will largely improve execution time and reduce quota contributing calls. Recommended when time series metrics are not needed or number of runs in Experiment is large. For time series metrics consider querying a specific run using get_time_series_data_frame.

Exceptions
Type	Description
`ImportError`	If pandas is not installed.

Returns
Type	Description
`pd.DataFrame`	Pandas Dataframe of Experiment Runs.

get_or_create

get_or_create(
    experiment_name: str,
    *,
    description: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
) -> google.cloud.aiplatform.metadata.experiment_resources.Experiment

Gets experiment if one exists with this experiment_name in Vertex AI Experiments.

Otherwise creates this experiment.

my_experiment = aiplatform.Experiment.get_or_create('my-experiment', description='my description')

Parameters
Name	Description
`experiment_name`	`str` Required. The name of this experiment.
`description`	`str` Optional. Describes this experiment's purpose.
`project`	`str` Optional. Project where this experiment will be retrieved from or created. Overrides project set in aiplatform.init.
`location`	`str` Optional. Location where this experiment will be retrieved from or created. Overrides location set in aiplatform.init.
`credentials`	`auth_credentials.Credentials` Optional. Custom credentials used to retrieve or create this experiment. Overrides credentials set in aiplatform.init.

list

list(
    *,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
) -> typing.List[google.cloud.aiplatform.metadata.experiment_resources.Experiment]

List all Vertex AI Experiments in the given project.

my_experiments = aiplatform.Experiment.list()

Parameters
Name	Description
`project`	`str` Optional. Project to list these experiments from. Overrides project set in aiplatform.init.
`location`	`str` Optional. Location to list these experiments from. Overrides location set in aiplatform.init.
`credentials`	`auth_credentials.Credentials` Optional. Custom credentials to list these experiments. Overrides credentials set in aiplatform.init.