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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.getDataset

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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

    Gets a Dataset.

    Using getDataset

    Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

    function getDataset(args: GetDatasetArgs, opts?: InvokeOptions): Promise<GetDatasetResult>
function getDatasetOutput(args: GetDatasetOutputArgs, opts?: InvokeOptions): Output<GetDatasetResult>
    def get_dataset(dataset_id: Optional[str] = None,
                location: Optional[str] = None,
                project: Optional[str] = None,
                read_mask: Optional[str] = None,
                opts: Optional[InvokeOptions] = None) -> GetDatasetResult
def get_dataset_output(dataset_id: Optional[pulumi.Input[str]] = None,
                location: Optional[pulumi.Input[str]] = None,
                project: Optional[pulumi.Input[str]] = None,
                read_mask: Optional[pulumi.Input[str]] = None,
                opts: Optional[InvokeOptions] = None) -> Output[GetDatasetResult]
    func LookupDataset(ctx *Context, args *LookupDatasetArgs, opts ...InvokeOption) (*LookupDatasetResult, error)
func LookupDatasetOutput(ctx *Context, args *LookupDatasetOutputArgs, opts ...InvokeOption) LookupDatasetResultOutput

    > Note: This function is named LookupDataset in the Go SDK.

    public static class GetDataset 
{
    public static Task<GetDatasetResult> InvokeAsync(GetDatasetArgs args, InvokeOptions? opts = null)
    public static Output<GetDatasetResult> Invoke(GetDatasetInvokeArgs args, InvokeOptions? opts = null)
}
    public static CompletableFuture<GetDatasetResult> getDataset(GetDatasetArgs args, InvokeOptions options)
public static Output<GetDatasetResult> getDataset(GetDatasetArgs args, InvokeOptions options)

    fn::invoke:
  function: google-native:aiplatform/v1beta1:getDataset
  arguments:
    # arguments dictionary

    The following arguments are supported:

    DatasetId string
    Location string
    Project string
    ReadMask string
    DatasetId string
    Location string
    Project string
    ReadMask string
    datasetId String
    location String
    project String
    readMask String
    datasetId string
    location string
    project string
    readMask string
    datasetId String
    location String
    project String
    readMask String

    getDataset Result

    The following output properties are available:

    CreateTime string
    Timestamp when this Dataset was created.
    DataItemCount string
    The number of DataItems in this Dataset. Only apply for non-structured Dataset.
    Description string
    The description of the Dataset.
    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.
    EncryptionSpec Pulumi.GoogleNative.Aiplatform.V1Beta1.Outputs.GoogleCloudAiplatformV1beta1EncryptionSpecResponse
    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.
    Metadata object
    Additional information about the Dataset.
    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}.
    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/.
    Name string
    The resource name of the Dataset.
    SavedQueries List<Pulumi.GoogleNative.Aiplatform.V1Beta1.Outputs.GoogleCloudAiplatformV1beta1SavedQueryResponse>
    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.
    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.
    Description string
    The description of the Dataset.
    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.
    EncryptionSpec GoogleCloudAiplatformV1beta1EncryptionSpecResponse
    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.
    Metadata interface{}
    Additional information about the Dataset.
    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}.
    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/.
    Name string
    The resource name of the Dataset.
    SavedQueries []GoogleCloudAiplatformV1beta1SavedQueryResponse
    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.
    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.
    description String
    The description of the Dataset.
    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.
    encryptionSpec GoogleCloudAiplatformV1beta1EncryptionSpecResponse
    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.
    metadata Object
    Additional information about the Dataset.
    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}.
    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/.
    name String
    The resource name of the Dataset.
    savedQueries List<GoogleCloudAiplatformV1beta1SavedQueryResponse>
    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.
    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.
    description string
    The description of the Dataset.
    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.
    encryptionSpec GoogleCloudAiplatformV1beta1EncryptionSpecResponse
    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.
    metadata any
    Additional information about the Dataset.
    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}.
    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/.
    name string
    The resource name of the Dataset.
    savedQueries GoogleCloudAiplatformV1beta1SavedQueryResponse[]
    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.
    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.
    description str
    The description of the Dataset.
    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.
    encryption_spec GoogleCloudAiplatformV1beta1EncryptionSpecResponse
    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.
    metadata Any
    Additional information about the Dataset.
    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}.
    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/.
    name str
    The resource name of the Dataset.
    saved_queries Sequence[GoogleCloudAiplatformV1beta1SavedQueryResponse]
    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.
    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.
    description String
    The description of the Dataset.
    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.
    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.
    metadata Any
    Additional information about the Dataset.
    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}.
    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/.
    name String
    The resource name of the Dataset.
    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.
    updateTime String
    Timestamp when this Dataset was last updated.

    Supporting Types

    GoogleCloudAiplatformV1beta1EncryptionSpecResponse

    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.

    GoogleCloudAiplatformV1beta1SavedQueryResponse

    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
    google-native logo

    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