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Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native

google-native.aiplatform/v1beta1.Dataset

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Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native

Creates a Dataset. Auto-naming is currently not supported for this resource.

Create Dataset Resource

Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

Constructor syntax

new Dataset(name: string, args: DatasetArgs, opts?: CustomResourceOptions);
@overload
def Dataset(resource_name: str,
            args: DatasetArgs,
            opts: Optional[ResourceOptions] = None)

@overload
def Dataset(resource_name: str,
            opts: Optional[ResourceOptions] = None,
            display_name: Optional[str] = None,
            metadata: Optional[Any] = None,
            metadata_schema_uri: Optional[str] = None,
            description: Optional[str] = None,
            encryption_spec: Optional[GoogleCloudAiplatformV1beta1EncryptionSpecArgs] = None,
            etag: Optional[str] = None,
            labels: Optional[Mapping[str, str]] = None,
            location: Optional[str] = None,
            project: Optional[str] = None,
            saved_queries: Optional[Sequence[GoogleCloudAiplatformV1beta1SavedQueryArgs]] = None)
func NewDataset(ctx *Context, name string, args DatasetArgs, opts ...ResourceOption) (*Dataset, error)
public Dataset(string name, DatasetArgs args, CustomResourceOptions? opts = null)
public Dataset(String name, DatasetArgs args)
public Dataset(String name, DatasetArgs args, CustomResourceOptions options)

type: google-native:aiplatform/v1beta1:Dataset
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

Parameters

name This property is required. string
The unique name of the resource.
args This property is required. DatasetArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
resource_name This property is required. str
The unique name of the resource.
args This property is required. DatasetArgs
The arguments to resource properties.
opts ResourceOptions
Bag of options to control resource's behavior.
ctx Context
Context object for the current deployment.
name This property is required. string
The unique name of the resource.
args This property is required. DatasetArgs
The arguments to resource properties.
opts ResourceOption
Bag of options to control resource's behavior.
name This property is required. string
The unique name of the resource.
args This property is required. DatasetArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
name This property is required. String
The unique name of the resource.
args This property is required. DatasetArgs
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 google_nativeDatasetResource = new GoogleNative.Aiplatform.V1Beta1.Dataset("google-nativeDatasetResource", new()
{
    DisplayName = "string",
    Metadata = "any",
    MetadataSchemaUri = "string",
    Description = "string",
    EncryptionSpec = new GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1EncryptionSpecArgs
    {
        KmsKeyName = "string",
    },
    Etag = "string",
    Labels = 
    {
        { "string", "string" },
    },
    Location = "string",
    Project = "string",
    SavedQueries = new[]
    {
        new GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1SavedQueryArgs
        {
            DisplayName = "string",
            ProblemType = "string",
            Etag = "string",
            Metadata = "any",
        },
    },
});
Copy
example, err := aiplatformv1beta1.NewDataset(ctx, "google-nativeDatasetResource", &aiplatformv1beta1.DatasetArgs{
	DisplayName:       pulumi.String("string"),
	Metadata:          pulumi.Any("any"),
	MetadataSchemaUri: pulumi.String("string"),
	Description:       pulumi.String("string"),
	EncryptionSpec: &aiplatform.GoogleCloudAiplatformV1beta1EncryptionSpecArgs{
		KmsKeyName: pulumi.String("string"),
	},
	Etag: pulumi.String("string"),
	Labels: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	Location: pulumi.String("string"),
	Project:  pulumi.String("string"),
	SavedQueries: aiplatform.GoogleCloudAiplatformV1beta1SavedQueryArray{
		&aiplatform.GoogleCloudAiplatformV1beta1SavedQueryArgs{
			DisplayName: pulumi.String("string"),
			ProblemType: pulumi.String("string"),
			Etag:        pulumi.String("string"),
			Metadata:    pulumi.Any("any"),
		},
	},
})
Copy
var google_nativeDatasetResource = new Dataset("google-nativeDatasetResource", DatasetArgs.builder()
    .displayName("string")
    .metadata("any")
    .metadataSchemaUri("string")
    .description("string")
    .encryptionSpec(GoogleCloudAiplatformV1beta1EncryptionSpecArgs.builder()
        .kmsKeyName("string")
        .build())
    .etag("string")
    .labels(Map.of("string", "string"))
    .location("string")
    .project("string")
    .savedQueries(GoogleCloudAiplatformV1beta1SavedQueryArgs.builder()
        .displayName("string")
        .problemType("string")
        .etag("string")
        .metadata("any")
        .build())
    .build());
Copy
google_native_dataset_resource = google_native.aiplatform.v1beta1.Dataset("google-nativeDatasetResource",
    display_name="string",
    metadata="any",
    metadata_schema_uri="string",
    description="string",
    encryption_spec={
        "kms_key_name": "string",
    },
    etag="string",
    labels={
        "string": "string",
    },
    location="string",
    project="string",
    saved_queries=[{
        "display_name": "string",
        "problem_type": "string",
        "etag": "string",
        "metadata": "any",
    }])
Copy
const google_nativeDatasetResource = new google_native.aiplatform.v1beta1.Dataset("google-nativeDatasetResource", {
    displayName: "string",
    metadata: "any",
    metadataSchemaUri: "string",
    description: "string",
    encryptionSpec: {
        kmsKeyName: "string",
    },
    etag: "string",
    labels: {
        string: "string",
    },
    location: "string",
    project: "string",
    savedQueries: [{
        displayName: "string",
        problemType: "string",
        etag: "string",
        metadata: "any",
    }],
});
Copy
type: google-native:aiplatform/v1beta1:Dataset
properties:
    description: string
    displayName: string
    encryptionSpec:
        kmsKeyName: string
    etag: string
    labels:
        string: string
    location: string
    metadata: any
    metadataSchemaUri: string
    project: string
    savedQueries:
        - displayName: string
          etag: string
          metadata: any
          problemType: string
Copy

Dataset 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 Dataset resource accepts the following input properties:

DisplayName This property is required. string
The user-defined name of the Dataset. The name can be up to 128 characters long and can consist of any UTF-8 characters.
Metadata This property is required. object
Additional information about the Dataset.
MetadataSchemaUri This property is required. string
Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
Description string
The description of the Dataset.
EncryptionSpec Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1EncryptionSpec
Customer-managed encryption key spec for a Dataset. If set, this Dataset and all sub-resources of this Dataset will be secured by this key.
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 Datasets. Label keys and values can be no 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. Following system labels exist for each Dataset: * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its value is the metadata_schema's title.
Location Changes to this property will trigger replacement. string
Project Changes to this property will trigger replacement. string
SavedQueries List<Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1SavedQuery>
All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
DisplayName This property is required. string
The user-defined name of the Dataset. The name can be up to 128 characters long and can consist of any UTF-8 characters.
Metadata This property is required. interface{}
Additional information about the Dataset.
MetadataSchemaUri This property is required. string
Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
Description string
The description of the Dataset.
EncryptionSpec GoogleCloudAiplatformV1beta1EncryptionSpecArgs
Customer-managed encryption key spec for a Dataset. If set, this Dataset and all sub-resources of this Dataset will be secured by this key.
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 Datasets. Label keys and values can be no 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. Following system labels exist for each Dataset: * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its value is the metadata_schema's title.
Location Changes to this property will trigger replacement. string
Project Changes to this property will trigger replacement. string
SavedQueries []GoogleCloudAiplatformV1beta1SavedQueryArgs
All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
displayName This property is required. String
The user-defined name of the Dataset. The name can be up to 128 characters long and can consist of any UTF-8 characters.
metadata This property is required. Object
Additional information about the Dataset.
metadataSchemaUri This property is required. String
Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
description String
The description of the Dataset.
encryptionSpec GoogleCloudAiplatformV1beta1EncryptionSpec
Customer-managed encryption key spec for a Dataset. If set, this Dataset and all sub-resources of this Dataset will be secured by this key.
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 Datasets. Label keys and values can be no 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. Following system labels exist for each Dataset: * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its value is the metadata_schema's title.
location Changes to this property will trigger replacement. String
project Changes to this property will trigger replacement. String
savedQueries List<GoogleCloudAiplatformV1beta1SavedQuery>
All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
displayName This property is required. string
The user-defined name of the Dataset. The name can be up to 128 characters long and can consist of any UTF-8 characters.
metadata This property is required. any
Additional information about the Dataset.
metadataSchemaUri This property is required. string
Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
description string
The description of the Dataset.
encryptionSpec GoogleCloudAiplatformV1beta1EncryptionSpec
Customer-managed encryption key spec for a Dataset. If set, this Dataset and all sub-resources of this Dataset will be secured by this key.
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 Datasets. Label keys and values can be no 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. Following system labels exist for each Dataset: * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its value is the metadata_schema's title.
location Changes to this property will trigger replacement. string
project Changes to this property will trigger replacement. string
savedQueries GoogleCloudAiplatformV1beta1SavedQuery[]
All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
display_name This property is required. str
The user-defined name of the Dataset. The name can be up to 128 characters long and can consist of any UTF-8 characters.
metadata This property is required. Any
Additional information about the Dataset.
metadata_schema_uri This property is required. str
Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
description str
The description of the Dataset.
encryption_spec GoogleCloudAiplatformV1beta1EncryptionSpecArgs
Customer-managed encryption key spec for a Dataset. If set, this Dataset and all sub-resources of this Dataset will be secured by this key.
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 Datasets. Label keys and values can be no 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. Following system labels exist for each Dataset: * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its value is the metadata_schema's title.
location Changes to this property will trigger replacement. str
project Changes to this property will trigger replacement. str
saved_queries Sequence[GoogleCloudAiplatformV1beta1SavedQueryArgs]
All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
displayName This property is required. String
The user-defined name of the Dataset. The name can be up to 128 characters long and can consist of any UTF-8 characters.
metadata This property is required. Any
Additional information about the Dataset.
metadataSchemaUri This property is required. String
Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
description String
The description of the Dataset.
encryptionSpec Property Map
Customer-managed encryption key spec for a Dataset. If set, this Dataset and all sub-resources of this Dataset will be secured by this key.
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 Datasets. Label keys and values can be no 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. Following system labels exist for each Dataset: * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its value is the metadata_schema's title.
location Changes to this property will trigger replacement. String
project Changes to this property will trigger replacement. String
savedQueries List<Property Map>
All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.

Outputs

All input properties are implicitly available as output properties. Additionally, the Dataset resource produces the following output properties:

CreateTime string
Timestamp when this Dataset was created.
DataItemCount string
The number of DataItems in this Dataset. Only apply for non-structured Dataset.
Id string
The provider-assigned unique ID for this managed resource.
MetadataArtifact string
The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}.
Name string
The resource name of the Dataset.
UpdateTime string
Timestamp when this Dataset was last updated.
CreateTime string
Timestamp when this Dataset was created.
DataItemCount string
The number of DataItems in this Dataset. Only apply for non-structured Dataset.
Id string
The provider-assigned unique ID for this managed resource.
MetadataArtifact string
The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}.
Name string
The resource name of the Dataset.
UpdateTime string
Timestamp when this Dataset was last updated.
createTime String
Timestamp when this Dataset was created.
dataItemCount String
The number of DataItems in this Dataset. Only apply for non-structured Dataset.
id String
The provider-assigned unique ID for this managed resource.
metadataArtifact String
The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}.
name String
The resource name of the Dataset.
updateTime String
Timestamp when this Dataset was last updated.
createTime string
Timestamp when this Dataset was created.
dataItemCount string
The number of DataItems in this Dataset. Only apply for non-structured Dataset.
id string
The provider-assigned unique ID for this managed resource.
metadataArtifact string
The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}.
name string
The resource name of the Dataset.
updateTime string
Timestamp when this Dataset was last updated.
create_time str
Timestamp when this Dataset was created.
data_item_count str
The number of DataItems in this Dataset. Only apply for non-structured Dataset.
id str
The provider-assigned unique ID for this managed resource.
metadata_artifact str
The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}.
name str
The resource name of the Dataset.
update_time str
Timestamp when this Dataset was last updated.
createTime String
Timestamp when this Dataset was created.
dataItemCount String
The number of DataItems in this Dataset. Only apply for non-structured Dataset.
id String
The provider-assigned unique ID for this managed resource.
metadataArtifact String
The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}.
name String
The resource name of the Dataset.
updateTime String
Timestamp when this Dataset was last updated.

Supporting Types

GoogleCloudAiplatformV1beta1EncryptionSpec
, GoogleCloudAiplatformV1beta1EncryptionSpecArgs

KmsKeyName This property is required. string
The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
KmsKeyName This property is required. string
The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
kmsKeyName This property is required. String
The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
kmsKeyName This property is required. string
The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
kms_key_name This property is required. str
The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
kmsKeyName This property is required. String
The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.

GoogleCloudAiplatformV1beta1EncryptionSpecResponse
, GoogleCloudAiplatformV1beta1EncryptionSpecResponseArgs

KmsKeyName This property is required. string
The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
KmsKeyName This property is required. string
The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
kmsKeyName This property is required. String
The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
kmsKeyName This property is required. string
The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
kms_key_name This property is required. str
The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
kmsKeyName This property is required. String
The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.

GoogleCloudAiplatformV1beta1SavedQuery
, GoogleCloudAiplatformV1beta1SavedQueryArgs

DisplayName This property is required. string
The user-defined name of the SavedQuery. The name can be up to 128 characters long and can consist of any UTF-8 characters.
ProblemType This property is required. string
Problem type of the SavedQuery. Allowed values: * IMAGE_CLASSIFICATION_SINGLE_LABEL * IMAGE_CLASSIFICATION_MULTI_LABEL * IMAGE_BOUNDING_POLY * IMAGE_BOUNDING_BOX * TEXT_CLASSIFICATION_SINGLE_LABEL * TEXT_CLASSIFICATION_MULTI_LABEL * TEXT_EXTRACTION * TEXT_SENTIMENT * VIDEO_CLASSIFICATION * VIDEO_OBJECT_TRACKING
Etag string
Used to perform a consistent read-modify-write update. If not set, a blind "overwrite" update happens.
Metadata object
Some additional information about the SavedQuery.
DisplayName This property is required. string
The user-defined name of the SavedQuery. The name can be up to 128 characters long and can consist of any UTF-8 characters.
ProblemType This property is required. string
Problem type of the SavedQuery. Allowed values: * IMAGE_CLASSIFICATION_SINGLE_LABEL * IMAGE_CLASSIFICATION_MULTI_LABEL * IMAGE_BOUNDING_POLY * IMAGE_BOUNDING_BOX * TEXT_CLASSIFICATION_SINGLE_LABEL * TEXT_CLASSIFICATION_MULTI_LABEL * TEXT_EXTRACTION * TEXT_SENTIMENT * VIDEO_CLASSIFICATION * VIDEO_OBJECT_TRACKING
Etag string
Used to perform a consistent read-modify-write update. If not set, a blind "overwrite" update happens.
Metadata interface{}
Some additional information about the SavedQuery.
displayName This property is required. String
The user-defined name of the SavedQuery. The name can be up to 128 characters long and can consist of any UTF-8 characters.
problemType This property is required. String
Problem type of the SavedQuery. Allowed values: * IMAGE_CLASSIFICATION_SINGLE_LABEL * IMAGE_CLASSIFICATION_MULTI_LABEL * IMAGE_BOUNDING_POLY * IMAGE_BOUNDING_BOX * TEXT_CLASSIFICATION_SINGLE_LABEL * TEXT_CLASSIFICATION_MULTI_LABEL * TEXT_EXTRACTION * TEXT_SENTIMENT * VIDEO_CLASSIFICATION * VIDEO_OBJECT_TRACKING
etag String
Used to perform a consistent read-modify-write update. If not set, a blind "overwrite" update happens.
metadata Object
Some additional information about the SavedQuery.
displayName This property is required. string
The user-defined name of the SavedQuery. The name can be up to 128 characters long and can consist of any UTF-8 characters.
problemType This property is required. string
Problem type of the SavedQuery. Allowed values: * IMAGE_CLASSIFICATION_SINGLE_LABEL * IMAGE_CLASSIFICATION_MULTI_LABEL * IMAGE_BOUNDING_POLY * IMAGE_BOUNDING_BOX * TEXT_CLASSIFICATION_SINGLE_LABEL * TEXT_CLASSIFICATION_MULTI_LABEL * TEXT_EXTRACTION * TEXT_SENTIMENT * VIDEO_CLASSIFICATION * VIDEO_OBJECT_TRACKING
etag string
Used to perform a consistent read-modify-write update. If not set, a blind "overwrite" update happens.
metadata any
Some additional information about the SavedQuery.
display_name This property is required. str
The user-defined name of the SavedQuery. The name can be up to 128 characters long and can consist of any UTF-8 characters.
problem_type This property is required. str
Problem type of the SavedQuery. Allowed values: * IMAGE_CLASSIFICATION_SINGLE_LABEL * IMAGE_CLASSIFICATION_MULTI_LABEL * IMAGE_BOUNDING_POLY * IMAGE_BOUNDING_BOX * TEXT_CLASSIFICATION_SINGLE_LABEL * TEXT_CLASSIFICATION_MULTI_LABEL * TEXT_EXTRACTION * TEXT_SENTIMENT * VIDEO_CLASSIFICATION * VIDEO_OBJECT_TRACKING
etag str
Used to perform a consistent read-modify-write update. If not set, a blind "overwrite" update happens.
metadata Any
Some additional information about the SavedQuery.
displayName This property is required. String
The user-defined name of the SavedQuery. The name can be up to 128 characters long and can consist of any UTF-8 characters.
problemType This property is required. String
Problem type of the SavedQuery. Allowed values: * IMAGE_CLASSIFICATION_SINGLE_LABEL * IMAGE_CLASSIFICATION_MULTI_LABEL * IMAGE_BOUNDING_POLY * IMAGE_BOUNDING_BOX * TEXT_CLASSIFICATION_SINGLE_LABEL * TEXT_CLASSIFICATION_MULTI_LABEL * TEXT_EXTRACTION * TEXT_SENTIMENT * VIDEO_CLASSIFICATION * VIDEO_OBJECT_TRACKING
etag String
Used to perform a consistent read-modify-write update. If not set, a blind "overwrite" update happens.
metadata Any
Some additional information about the SavedQuery.

GoogleCloudAiplatformV1beta1SavedQueryResponse
, GoogleCloudAiplatformV1beta1SavedQueryResponseArgs

AnnotationFilter This property is required. string
Filters on the Annotations in the dataset.
AnnotationSpecCount This property is required. int
Number of AnnotationSpecs in the context of the SavedQuery.
CreateTime This property is required. string
Timestamp when this SavedQuery was created.
DisplayName This property is required. string
The user-defined name of the SavedQuery. The name can be up to 128 characters long and can consist of any UTF-8 characters.
Etag This property is required. string
Used to perform a consistent read-modify-write update. If not set, a blind "overwrite" update happens.
Metadata This property is required. object
Some additional information about the SavedQuery.
Name This property is required. string
Resource name of the SavedQuery.
ProblemType This property is required. string
Problem type of the SavedQuery. Allowed values: * IMAGE_CLASSIFICATION_SINGLE_LABEL * IMAGE_CLASSIFICATION_MULTI_LABEL * IMAGE_BOUNDING_POLY * IMAGE_BOUNDING_BOX * TEXT_CLASSIFICATION_SINGLE_LABEL * TEXT_CLASSIFICATION_MULTI_LABEL * TEXT_EXTRACTION * TEXT_SENTIMENT * VIDEO_CLASSIFICATION * VIDEO_OBJECT_TRACKING
SupportAutomlTraining This property is required. bool
If the Annotations belonging to the SavedQuery can be used for AutoML training.
UpdateTime This property is required. string
Timestamp when SavedQuery was last updated.
AnnotationFilter This property is required. string
Filters on the Annotations in the dataset.
AnnotationSpecCount This property is required. int
Number of AnnotationSpecs in the context of the SavedQuery.
CreateTime This property is required. string
Timestamp when this SavedQuery was created.
DisplayName This property is required. string
The user-defined name of the SavedQuery. The name can be up to 128 characters long and can consist of any UTF-8 characters.
Etag This property is required. string
Used to perform a consistent read-modify-write update. If not set, a blind "overwrite" update happens.
Metadata This property is required. interface{}
Some additional information about the SavedQuery.
Name This property is required. string
Resource name of the SavedQuery.
ProblemType This property is required. string
Problem type of the SavedQuery. Allowed values: * IMAGE_CLASSIFICATION_SINGLE_LABEL * IMAGE_CLASSIFICATION_MULTI_LABEL * IMAGE_BOUNDING_POLY * IMAGE_BOUNDING_BOX * TEXT_CLASSIFICATION_SINGLE_LABEL * TEXT_CLASSIFICATION_MULTI_LABEL * TEXT_EXTRACTION * TEXT_SENTIMENT * VIDEO_CLASSIFICATION * VIDEO_OBJECT_TRACKING
SupportAutomlTraining This property is required. bool
If the Annotations belonging to the SavedQuery can be used for AutoML training.
UpdateTime This property is required. string
Timestamp when SavedQuery was last updated.
annotationFilter This property is required. String
Filters on the Annotations in the dataset.
annotationSpecCount This property is required. Integer
Number of AnnotationSpecs in the context of the SavedQuery.
createTime This property is required. String
Timestamp when this SavedQuery was created.
displayName This property is required. String
The user-defined name of the SavedQuery. The name can be up to 128 characters long and can consist of any UTF-8 characters.
etag This property is required. String
Used to perform a consistent read-modify-write update. If not set, a blind "overwrite" update happens.
metadata This property is required. Object
Some additional information about the SavedQuery.
name This property is required. String
Resource name of the SavedQuery.
problemType This property is required. String
Problem type of the SavedQuery. Allowed values: * IMAGE_CLASSIFICATION_SINGLE_LABEL * IMAGE_CLASSIFICATION_MULTI_LABEL * IMAGE_BOUNDING_POLY * IMAGE_BOUNDING_BOX * TEXT_CLASSIFICATION_SINGLE_LABEL * TEXT_CLASSIFICATION_MULTI_LABEL * TEXT_EXTRACTION * TEXT_SENTIMENT * VIDEO_CLASSIFICATION * VIDEO_OBJECT_TRACKING
supportAutomlTraining This property is required. Boolean
If the Annotations belonging to the SavedQuery can be used for AutoML training.
updateTime This property is required. String
Timestamp when SavedQuery was last updated.
annotationFilter This property is required. string
Filters on the Annotations in the dataset.
annotationSpecCount This property is required. number
Number of AnnotationSpecs in the context of the SavedQuery.
createTime This property is required. string
Timestamp when this SavedQuery was created.
displayName This property is required. string
The user-defined name of the SavedQuery. The name can be up to 128 characters long and can consist of any UTF-8 characters.
etag This property is required. string
Used to perform a consistent read-modify-write update. If not set, a blind "overwrite" update happens.
metadata This property is required. any
Some additional information about the SavedQuery.
name This property is required. string
Resource name of the SavedQuery.
problemType This property is required. string
Problem type of the SavedQuery. Allowed values: * IMAGE_CLASSIFICATION_SINGLE_LABEL * IMAGE_CLASSIFICATION_MULTI_LABEL * IMAGE_BOUNDING_POLY * IMAGE_BOUNDING_BOX * TEXT_CLASSIFICATION_SINGLE_LABEL * TEXT_CLASSIFICATION_MULTI_LABEL * TEXT_EXTRACTION * TEXT_SENTIMENT * VIDEO_CLASSIFICATION * VIDEO_OBJECT_TRACKING
supportAutomlTraining This property is required. boolean
If the Annotations belonging to the SavedQuery can be used for AutoML training.
updateTime This property is required. string
Timestamp when SavedQuery was last updated.
annotation_filter This property is required. str
Filters on the Annotations in the dataset.
annotation_spec_count This property is required. int
Number of AnnotationSpecs in the context of the SavedQuery.
create_time This property is required. str
Timestamp when this SavedQuery was created.
display_name This property is required. str
The user-defined name of the SavedQuery. The name can be up to 128 characters long and can consist of any UTF-8 characters.
etag This property is required. str
Used to perform a consistent read-modify-write update. If not set, a blind "overwrite" update happens.
metadata This property is required. Any
Some additional information about the SavedQuery.
name This property is required. str
Resource name of the SavedQuery.
problem_type This property is required. str
Problem type of the SavedQuery. Allowed values: * IMAGE_CLASSIFICATION_SINGLE_LABEL * IMAGE_CLASSIFICATION_MULTI_LABEL * IMAGE_BOUNDING_POLY * IMAGE_BOUNDING_BOX * TEXT_CLASSIFICATION_SINGLE_LABEL * TEXT_CLASSIFICATION_MULTI_LABEL * TEXT_EXTRACTION * TEXT_SENTIMENT * VIDEO_CLASSIFICATION * VIDEO_OBJECT_TRACKING
support_automl_training This property is required. bool
If the Annotations belonging to the SavedQuery can be used for AutoML training.
update_time This property is required. str
Timestamp when SavedQuery was last updated.
annotationFilter This property is required. String
Filters on the Annotations in the dataset.
annotationSpecCount This property is required. Number
Number of AnnotationSpecs in the context of the SavedQuery.
createTime This property is required. String
Timestamp when this SavedQuery was created.
displayName This property is required. String
The user-defined name of the SavedQuery. The name can be up to 128 characters long and can consist of any UTF-8 characters.
etag This property is required. String
Used to perform a consistent read-modify-write update. If not set, a blind "overwrite" update happens.
metadata This property is required. Any
Some additional information about the SavedQuery.
name This property is required. String
Resource name of the SavedQuery.
problemType This property is required. String
Problem type of the SavedQuery. Allowed values: * IMAGE_CLASSIFICATION_SINGLE_LABEL * IMAGE_CLASSIFICATION_MULTI_LABEL * IMAGE_BOUNDING_POLY * IMAGE_BOUNDING_BOX * TEXT_CLASSIFICATION_SINGLE_LABEL * TEXT_CLASSIFICATION_MULTI_LABEL * TEXT_EXTRACTION * TEXT_SENTIMENT * VIDEO_CLASSIFICATION * VIDEO_OBJECT_TRACKING
supportAutomlTraining This property is required. Boolean
If the Annotations belonging to the SavedQuery can be used for AutoML training.
updateTime This property is required. String
Timestamp when SavedQuery 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.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native