Google Cloud Native v0.32.0, Nov 29 23

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

google-native.aiplatform/v1.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

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.

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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/v1: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

dataset_id str
location str
project str
read_mask str

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.V1.Outputs.GoogleCloudAiplatformV1EncryptionSpecResponse: 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.V1.Outputs.GoogleCloudAiplatformV1SavedQueryResponse>: 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 GoogleCloudAiplatformV1EncryptionSpecResponse: 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 []GoogleCloudAiplatformV1SavedQueryResponse: 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 GoogleCloudAiplatformV1EncryptionSpecResponse: 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<GoogleCloudAiplatformV1SavedQueryResponse>: 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 GoogleCloudAiplatformV1EncryptionSpecResponse: 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 GoogleCloudAiplatformV1SavedQueryResponse[]: 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 GoogleCloudAiplatformV1EncryptionSpecResponse: 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[GoogleCloudAiplatformV1SavedQueryResponse]: 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

GoogleCloudAiplatformV1EncryptionSpecResponse

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.

GoogleCloudAiplatformV1SavedQueryResponse

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 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/v1.getDataset

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Using getDataset

getDataset Result

Supporting Types

GoogleCloudAiplatformV1EncryptionSpecResponse

GoogleCloudAiplatformV1SavedQueryResponse

Package Details

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