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google-native.aiplatform/v1.Experiment
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Google Cloud Native is in preview. Google Cloud Classic is fully supported.
Creates a TensorboardExperiment. Auto-naming is currently not supported for this resource.
Create Experiment Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new Experiment(name: string, args: ExperimentArgs, opts?: CustomResourceOptions);
@overload
def Experiment(resource_name: str,
args: ExperimentArgs,
opts: Optional[ResourceOptions] = None)
@overload
def Experiment(resource_name: str,
opts: Optional[ResourceOptions] = None,
tensorboard_experiment_id: Optional[str] = None,
tensorboard_id: Optional[str] = None,
description: Optional[str] = None,
display_name: Optional[str] = None,
etag: Optional[str] = None,
labels: Optional[Mapping[str, str]] = None,
location: Optional[str] = None,
project: Optional[str] = None,
source: Optional[str] = None)
func NewExperiment(ctx *Context, name string, args ExperimentArgs, opts ...ResourceOption) (*Experiment, error)
public Experiment(string name, ExperimentArgs args, CustomResourceOptions? opts = null)
public Experiment(String name, ExperimentArgs args)
public Experiment(String name, ExperimentArgs args, CustomResourceOptions options)
type: google-native:aiplatform/v1:Experiment
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
Parameters
- name string
- The unique name of the resource.
- args ExperimentArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- resource_name str
- The unique name of the resource.
- args ExperimentArgs
- The arguments to resource properties.
- opts ResourceOptions
- Bag of options to control resource's behavior.
- ctx Context
- Context object for the current deployment.
- name string
- The unique name of the resource.
- args ExperimentArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args ExperimentArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args ExperimentArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
Constructor example
The following reference example uses placeholder values for all input properties.
var experimentResource = new GoogleNative.Aiplatform.V1.Experiment("experimentResource", new()
{
TensorboardExperimentId = "string",
TensorboardId = "string",
Description = "string",
DisplayName = "string",
Etag = "string",
Labels =
{
{ "string", "string" },
},
Location = "string",
Project = "string",
Source = "string",
});
example, err := aiplatform.NewExperiment(ctx, "experimentResource", &aiplatform.ExperimentArgs{
TensorboardExperimentId: pulumi.String("string"),
TensorboardId: pulumi.String("string"),
Description: pulumi.String("string"),
DisplayName: pulumi.String("string"),
Etag: pulumi.String("string"),
Labels: pulumi.StringMap{
"string": pulumi.String("string"),
},
Location: pulumi.String("string"),
Project: pulumi.String("string"),
Source: pulumi.String("string"),
})
var experimentResource = new Experiment("experimentResource", ExperimentArgs.builder()
.tensorboardExperimentId("string")
.tensorboardId("string")
.description("string")
.displayName("string")
.etag("string")
.labels(Map.of("string", "string"))
.location("string")
.project("string")
.source("string")
.build());
experiment_resource = google_native.aiplatform.v1.Experiment("experimentResource",
tensorboard_experiment_id="string",
tensorboard_id="string",
description="string",
display_name="string",
etag="string",
labels={
"string": "string",
},
location="string",
project="string",
source="string")
const experimentResource = new google_native.aiplatform.v1.Experiment("experimentResource", {
tensorboardExperimentId: "string",
tensorboardId: "string",
description: "string",
displayName: "string",
etag: "string",
labels: {
string: "string",
},
location: "string",
project: "string",
source: "string",
});
type: google-native:aiplatform/v1:Experiment
properties:
description: string
displayName: string
etag: string
labels:
string: string
location: string
project: string
source: string
tensorboardExperimentId: string
tensorboardId: string
Experiment Resource Properties
To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.
Inputs
In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.
The Experiment resource accepts the following input properties:
- Tensorboard
Experiment stringId - Required. The ID to use for the Tensorboard experiment, which becomes the final component of the Tensorboard experiment's resource name. This value should be 1-128 characters, and valid characters are
/a-z-/
. - Tensorboard
Id string - Description string
- Description of this TensorboardExperiment.
- Display
Name string - User provided name of this TensorboardExperiment.
- Etag string
- Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
- Labels Dictionary<string, string>
- The labels with user-defined metadata to organize your TensorboardExperiment. Label keys and values cannot be longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Dataset (System labels are excluded). See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with
aiplatform.googleapis.com/
and are immutable. The following system labels exist for each Dataset: *aiplatform.googleapis.com/dataset_metadata_schema
: output only. Its value is the metadata_schema's title. - Location string
- Project string
- Source string
- Immutable. Source of the TensorboardExperiment. Example: a custom training job.
- Tensorboard
Experiment stringId - Required. The ID to use for the Tensorboard experiment, which becomes the final component of the Tensorboard experiment's resource name. This value should be 1-128 characters, and valid characters are
/a-z-/
. - Tensorboard
Id string - Description string
- Description of this TensorboardExperiment.
- Display
Name string - User provided name of this TensorboardExperiment.
- Etag string
- Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
- Labels map[string]string
- The labels with user-defined metadata to organize your TensorboardExperiment. Label keys and values cannot be longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Dataset (System labels are excluded). See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with
aiplatform.googleapis.com/
and are immutable. The following system labels exist for each Dataset: *aiplatform.googleapis.com/dataset_metadata_schema
: output only. Its value is the metadata_schema's title. - Location string
- Project string
- Source string
- Immutable. Source of the TensorboardExperiment. Example: a custom training job.
- tensorboard
Experiment StringId - Required. The ID to use for the Tensorboard experiment, which becomes the final component of the Tensorboard experiment's resource name. This value should be 1-128 characters, and valid characters are
/a-z-/
. - tensorboard
Id String - description String
- Description of this TensorboardExperiment.
- display
Name String - User provided name of this TensorboardExperiment.
- etag String
- Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
- labels Map<String,String>
- The labels with user-defined metadata to organize your TensorboardExperiment. Label keys and values cannot be longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Dataset (System labels are excluded). See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with
aiplatform.googleapis.com/
and are immutable. The following system labels exist for each Dataset: *aiplatform.googleapis.com/dataset_metadata_schema
: output only. Its value is the metadata_schema's title. - location String
- project String
- source String
- Immutable. Source of the TensorboardExperiment. Example: a custom training job.
- tensorboard
Experiment stringId - Required. The ID to use for the Tensorboard experiment, which becomes the final component of the Tensorboard experiment's resource name. This value should be 1-128 characters, and valid characters are
/a-z-/
. - tensorboard
Id string - description string
- Description of this TensorboardExperiment.
- display
Name string - User provided name of this TensorboardExperiment.
- etag string
- Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
- labels {[key: string]: string}
- The labels with user-defined metadata to organize your TensorboardExperiment. Label keys and values cannot be longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Dataset (System labels are excluded). See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with
aiplatform.googleapis.com/
and are immutable. The following system labels exist for each Dataset: *aiplatform.googleapis.com/dataset_metadata_schema
: output only. Its value is the metadata_schema's title. - location string
- project string
- source string
- Immutable. Source of the TensorboardExperiment. Example: a custom training job.
- tensorboard_
experiment_ strid - Required. The ID to use for the Tensorboard experiment, which becomes the final component of the Tensorboard experiment's resource name. This value should be 1-128 characters, and valid characters are
/a-z-/
. - tensorboard_
id str - description str
- Description of this TensorboardExperiment.
- display_
name str - User provided name of this TensorboardExperiment.
- etag str
- Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
- labels Mapping[str, str]
- The labels with user-defined metadata to organize your TensorboardExperiment. Label keys and values cannot be longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Dataset (System labels are excluded). See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with
aiplatform.googleapis.com/
and are immutable. The following system labels exist for each Dataset: *aiplatform.googleapis.com/dataset_metadata_schema
: output only. Its value is the metadata_schema's title. - location str
- project str
- source str
- Immutable. Source of the TensorboardExperiment. Example: a custom training job.
- tensorboard
Experiment StringId - Required. The ID to use for the Tensorboard experiment, which becomes the final component of the Tensorboard experiment's resource name. This value should be 1-128 characters, and valid characters are
/a-z-/
. - tensorboard
Id String - description String
- Description of this TensorboardExperiment.
- display
Name String - User provided name of this TensorboardExperiment.
- etag String
- Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
- labels Map<String>
- The labels with user-defined metadata to organize your TensorboardExperiment. Label keys and values cannot be longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Dataset (System labels are excluded). See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with
aiplatform.googleapis.com/
and are immutable. The following system labels exist for each Dataset: *aiplatform.googleapis.com/dataset_metadata_schema
: output only. Its value is the metadata_schema's title. - location String
- project String
- source String
- Immutable. Source of the TensorboardExperiment. Example: a custom training job.
Outputs
All input properties are implicitly available as output properties. Additionally, the Experiment resource produces the following output properties:
- Create
Time string - Timestamp when this TensorboardExperiment was created.
- Id string
- The provider-assigned unique ID for this managed resource.
- Name string
- Name of the TensorboardExperiment. Format:
projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}
- Update
Time string - Timestamp when this TensorboardExperiment was last updated.
- Create
Time string - Timestamp when this TensorboardExperiment was created.
- Id string
- The provider-assigned unique ID for this managed resource.
- Name string
- Name of the TensorboardExperiment. Format:
projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}
- Update
Time string - Timestamp when this TensorboardExperiment was last updated.
- create
Time String - Timestamp when this TensorboardExperiment was created.
- id String
- The provider-assigned unique ID for this managed resource.
- name String
- Name of the TensorboardExperiment. Format:
projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}
- update
Time String - Timestamp when this TensorboardExperiment was last updated.
- create
Time string - Timestamp when this TensorboardExperiment was created.
- id string
- The provider-assigned unique ID for this managed resource.
- name string
- Name of the TensorboardExperiment. Format:
projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}
- update
Time string - Timestamp when this TensorboardExperiment was last updated.
- create_
time str - Timestamp when this TensorboardExperiment was created.
- id str
- The provider-assigned unique ID for this managed resource.
- name str
- Name of the TensorboardExperiment. Format:
projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}
- update_
time str - Timestamp when this TensorboardExperiment was last updated.
- create
Time String - Timestamp when this TensorboardExperiment was created.
- id String
- The provider-assigned unique ID for this managed resource.
- name String
- Name of the TensorboardExperiment. Format:
projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}
- update
Time String - Timestamp when this TensorboardExperiment was last updated.
Package Details
- Repository
- Google Cloud Native pulumi/pulumi-google-native
- License
- Apache-2.0
Google Cloud Native is in preview. Google Cloud Classic is fully supported.