Class Experiment (1.19.1)

Version 1.19.1

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

Represents a Vertex AI Experiment resource.

Inheritance

builtins.object > Experiment

Properties

name

The name of this experiment.

resource_name

The Metadata context resource name of this experiment.

Methods

Experiment

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

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_backing_tensorboard_resource

get_backing_tensorboard_resource()

Get the backing tensorboard for this experiment in one exists.

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

get_data_frame

get_data_frame()

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()

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: Optional[str] = None,
    project: Optional[str] = None,
    location: Optional[str] = None,
    credentials: Optional[google.auth.credentials.Credentials] = None
)

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: Optional[str] = None,
    location: Optional[str] = None,
    credentials: Optional[google.auth.credentials.Credentials] = None
)

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.