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Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

google-native.aiplatform/v1.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

    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[GoogleCloudAiplatformV1EncryptionSpecArgs] = None,
                etag: Optional[str] = None,
                labels: Optional[Mapping[str, str]] = None,
                location: Optional[str] = None,
                project: Optional[str] = None,
                saved_queries: Optional[Sequence[GoogleCloudAiplatformV1SavedQueryArgs]] = 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/v1:Dataset
    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 DatasetArgs
    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 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 string
    The unique name of the resource.
    args DatasetArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args DatasetArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args DatasetArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Example

    The following reference example uses placeholder values for all input properties.

    var datasetResource = new GoogleNative.Aiplatform.V1.Dataset("datasetResource", new()
    {
        DisplayName = "string",
        Metadata = "any",
        MetadataSchemaUri = "string",
        Description = "string",
        EncryptionSpec = new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1EncryptionSpecArgs
        {
            KmsKeyName = "string",
        },
        Etag = "string",
        Labels = 
        {
            { "string", "string" },
        },
        Location = "string",
        Project = "string",
        SavedQueries = new[]
        {
            new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1SavedQueryArgs
            {
                DisplayName = "string",
                ProblemType = "string",
                Etag = "string",
                Metadata = "any",
            },
        },
    });
    
    example, err := aiplatform.NewDataset(ctx, "datasetResource", &aiplatform.DatasetArgs{
    DisplayName: pulumi.String("string"),
    Metadata: pulumi.Any("any"),
    MetadataSchemaUri: pulumi.String("string"),
    Description: pulumi.String("string"),
    EncryptionSpec: &aiplatform.GoogleCloudAiplatformV1EncryptionSpecArgs{
    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.GoogleCloudAiplatformV1SavedQueryArray{
    &aiplatform.GoogleCloudAiplatformV1SavedQueryArgs{
    DisplayName: pulumi.String("string"),
    ProblemType: pulumi.String("string"),
    Etag: pulumi.String("string"),
    Metadata: pulumi.Any("any"),
    },
    },
    })
    
    var datasetResource = new Dataset("datasetResource", DatasetArgs.builder()        
        .displayName("string")
        .metadata("any")
        .metadataSchemaUri("string")
        .description("string")
        .encryptionSpec(GoogleCloudAiplatformV1EncryptionSpecArgs.builder()
            .kmsKeyName("string")
            .build())
        .etag("string")
        .labels(Map.of("string", "string"))
        .location("string")
        .project("string")
        .savedQueries(GoogleCloudAiplatformV1SavedQueryArgs.builder()
            .displayName("string")
            .problemType("string")
            .etag("string")
            .metadata("any")
            .build())
        .build());
    
    dataset_resource = google_native.aiplatform.v1.Dataset("datasetResource",
        display_name="string",
        metadata="any",
        metadata_schema_uri="string",
        description="string",
        encryption_spec=google_native.aiplatform.v1.GoogleCloudAiplatformV1EncryptionSpecArgs(
            kms_key_name="string",
        ),
        etag="string",
        labels={
            "string": "string",
        },
        location="string",
        project="string",
        saved_queries=[google_native.aiplatform.v1.GoogleCloudAiplatformV1SavedQueryArgs(
            display_name="string",
            problem_type="string",
            etag="string",
            metadata="any",
        )])
    
    const datasetResource = new google_native.aiplatform.v1.Dataset("datasetResource", {
        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",
        }],
    });
    
    type: google-native:aiplatform/v1: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
    

    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

    The Dataset resource accepts the following input properties:

    DisplayName 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 object
    Additional information about the Dataset.
    MetadataSchemaUri 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.V1.Inputs.GoogleCloudAiplatformV1EncryptionSpec
    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 string
    Project string
    SavedQueries List<Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1SavedQuery>
    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 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 interface{}
    Additional information about the Dataset.
    MetadataSchemaUri 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 GoogleCloudAiplatformV1EncryptionSpecArgs
    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 string
    Project string
    SavedQueries []GoogleCloudAiplatformV1SavedQueryArgs
    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 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 Object
    Additional information about the Dataset.
    metadataSchemaUri 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 GoogleCloudAiplatformV1EncryptionSpec
    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 String
    project String
    savedQueries List<GoogleCloudAiplatformV1SavedQuery>
    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 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 any
    Additional information about the Dataset.
    metadataSchemaUri 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 GoogleCloudAiplatformV1EncryptionSpec
    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 string
    project string
    savedQueries GoogleCloudAiplatformV1SavedQuery[]
    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 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 Any
    Additional information about the Dataset.
    metadata_schema_uri 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 GoogleCloudAiplatformV1EncryptionSpecArgs
    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 str
    project str
    saved_queries Sequence[GoogleCloudAiplatformV1SavedQueryArgs]
    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 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 Any
    Additional information about the Dataset.
    metadataSchemaUri 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 String
    project 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

    GoogleCloudAiplatformV1EncryptionSpec, GoogleCloudAiplatformV1EncryptionSpecArgs

    KmsKeyName 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 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 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 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 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 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.

    GoogleCloudAiplatformV1EncryptionSpecResponse, GoogleCloudAiplatformV1EncryptionSpecResponseArgs

    KmsKeyName 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 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 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 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 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 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.

    GoogleCloudAiplatformV1SavedQuery, GoogleCloudAiplatformV1SavedQueryArgs

    DisplayName 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 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 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 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 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 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 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 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 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 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 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 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.

    GoogleCloudAiplatformV1SavedQueryResponse, GoogleCloudAiplatformV1SavedQueryResponseArgs

    AnnotationFilter string
    Filters on the Annotations in the dataset.
    AnnotationSpecCount int
    Number of AnnotationSpecs in the context of the SavedQuery.
    CreateTime string
    Timestamp when this SavedQuery was created.
    DisplayName 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 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.
    Name string
    Resource name of the SavedQuery.
    ProblemType 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 bool
    If the Annotations belonging to the SavedQuery can be used for AutoML training.
    UpdateTime string
    Timestamp when SavedQuery was last updated.
    AnnotationFilter string
    Filters on the Annotations in the dataset.
    AnnotationSpecCount int
    Number of AnnotationSpecs in the context of the SavedQuery.
    CreateTime string
    Timestamp when this SavedQuery was created.
    DisplayName 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 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.
    Name string
    Resource name of the SavedQuery.
    ProblemType 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 bool
    If the Annotations belonging to the SavedQuery can be used for AutoML training.
    UpdateTime string
    Timestamp when SavedQuery was last updated.
    annotationFilter String
    Filters on the Annotations in the dataset.
    annotationSpecCount Integer
    Number of AnnotationSpecs in the context of the SavedQuery.
    createTime String
    Timestamp when this SavedQuery was created.
    displayName 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 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.
    name String
    Resource name of the SavedQuery.
    problemType 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 Boolean
    If the Annotations belonging to the SavedQuery can be used for AutoML training.
    updateTime String
    Timestamp when SavedQuery was last updated.
    annotationFilter string
    Filters on the Annotations in the dataset.
    annotationSpecCount number
    Number of AnnotationSpecs in the context of the SavedQuery.
    createTime string
    Timestamp when this SavedQuery was created.
    displayName 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 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.
    name string
    Resource name of the SavedQuery.
    problemType 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 boolean
    If the Annotations belonging to the SavedQuery can be used for AutoML training.
    updateTime string
    Timestamp when SavedQuery was last updated.
    annotation_filter str
    Filters on the Annotations in the dataset.
    annotation_spec_count int
    Number of AnnotationSpecs in the context of the SavedQuery.
    create_time str
    Timestamp when this SavedQuery was created.
    display_name 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 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.
    name str
    Resource name of the SavedQuery.
    problem_type 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 bool
    If the Annotations belonging to the SavedQuery can be used for AutoML training.
    update_time str
    Timestamp when SavedQuery was last updated.
    annotationFilter String
    Filters on the Annotations in the dataset.
    annotationSpecCount Number
    Number of AnnotationSpecs in the context of the SavedQuery.
    createTime String
    Timestamp when this SavedQuery was created.
    displayName 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 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.
    name String
    Resource name of the SavedQuery.
    problemType 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 Boolean
    If the Annotations belonging to the SavedQuery can be used for AutoML training.
    updateTime String
    Timestamp when SavedQuery was last updated.

    Package Details

    Repository
    Google Cloud Native pulumi/pulumi-google-native
    License
    Apache-2.0
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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