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  6. getDataLabelingJob

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/v1beta1.getDataLabelingJob

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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

Gets a DataLabelingJob.

Using getDataLabelingJob

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 getDataLabelingJob(args: GetDataLabelingJobArgs, opts?: InvokeOptions): Promise<GetDataLabelingJobResult>
function getDataLabelingJobOutput(args: GetDataLabelingJobOutputArgs, opts?: InvokeOptions): Output<GetDataLabelingJobResult>
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def get_data_labeling_job(data_labeling_job_id: Optional[str] = None,
                          location: Optional[str] = None,
                          project: Optional[str] = None,
                          opts: Optional[InvokeOptions] = None) -> GetDataLabelingJobResult
def get_data_labeling_job_output(data_labeling_job_id: Optional[pulumi.Input[str]] = None,
                          location: Optional[pulumi.Input[str]] = None,
                          project: Optional[pulumi.Input[str]] = None,
                          opts: Optional[InvokeOptions] = None) -> Output[GetDataLabelingJobResult]
Copy
func LookupDataLabelingJob(ctx *Context, args *LookupDataLabelingJobArgs, opts ...InvokeOption) (*LookupDataLabelingJobResult, error)
func LookupDataLabelingJobOutput(ctx *Context, args *LookupDataLabelingJobOutputArgs, opts ...InvokeOption) LookupDataLabelingJobResultOutput
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> Note: This function is named LookupDataLabelingJob in the Go SDK.

public static class GetDataLabelingJob 
{
    public static Task<GetDataLabelingJobResult> InvokeAsync(GetDataLabelingJobArgs args, InvokeOptions? opts = null)
    public static Output<GetDataLabelingJobResult> Invoke(GetDataLabelingJobInvokeArgs args, InvokeOptions? opts = null)
}
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public static CompletableFuture<GetDataLabelingJobResult> getDataLabelingJob(GetDataLabelingJobArgs args, InvokeOptions options)
public static Output<GetDataLabelingJobResult> getDataLabelingJob(GetDataLabelingJobArgs args, InvokeOptions options)
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fn::invoke:
  function: google-native:aiplatform/v1beta1:getDataLabelingJob
  arguments:
    # arguments dictionary
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The following arguments are supported:

DataLabelingJobId This property is required. string
Location This property is required. string
Project string
DataLabelingJobId This property is required. string
Location This property is required. string
Project string
dataLabelingJobId This property is required. String
location This property is required. String
project String
dataLabelingJobId This property is required. string
location This property is required. string
project string
data_labeling_job_id This property is required. str
location This property is required. str
project str
dataLabelingJobId This property is required. String
location This property is required. String
project String

getDataLabelingJob Result

The following output properties are available:

ActiveLearningConfig Pulumi.GoogleNative.Aiplatform.V1Beta1.Outputs.GoogleCloudAiplatformV1beta1ActiveLearningConfigResponse
Parameters that configure the active learning pipeline. Active learning will label the data incrementally via several iterations. For every iteration, it will select a batch of data based on the sampling strategy.
AnnotationLabels Dictionary<string, string>
Labels to assign to annotations generated by this DataLabelingJob. 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. 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.
CreateTime string
Timestamp when this DataLabelingJob was created.
CurrentSpend Pulumi.GoogleNative.Aiplatform.V1Beta1.Outputs.GoogleTypeMoneyResponse
Estimated cost(in US dollars) that the DataLabelingJob has incurred to date.
Datasets List<string>
Dataset resource names. Right now we only support labeling from a single Dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}
DisplayName string
The user-defined name of the DataLabelingJob. The name can be up to 128 characters long and can consist of any UTF-8 characters. Display name of a DataLabelingJob.
EncryptionSpec Pulumi.GoogleNative.Aiplatform.V1Beta1.Outputs.GoogleCloudAiplatformV1beta1EncryptionSpecResponse
Customer-managed encryption key spec for a DataLabelingJob. If set, this DataLabelingJob will be secured by this key. Note: Annotations created in the DataLabelingJob are associated with the EncryptionSpec of the Dataset they are exported to.
Error Pulumi.GoogleNative.Aiplatform.V1Beta1.Outputs.GoogleRpcStatusResponse
DataLabelingJob errors. It is only populated when job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
Inputs object
Input config parameters for the DataLabelingJob.
InputsSchemaUri string
Points to a YAML file stored on Google Cloud Storage describing the config for a specific type of DataLabelingJob. The schema files that can be used here are found in the https://storage.googleapis.com/google-cloud-aiplatform bucket in the /schema/datalabelingjob/inputs/ folder.
InstructionUri string
The Google Cloud Storage location of the instruction pdf. This pdf is shared with labelers, and provides detailed description on how to label DataItems in Datasets.
LabelerCount int
Number of labelers to work on each DataItem.
LabelingProgress int
Current labeling job progress percentage scaled in interval [0, 100], indicating the percentage of DataItems that has been finished.
Labels Dictionary<string, string>
The labels with user-defined metadata to organize your DataLabelingJobs. 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. 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 DataLabelingJob: * "aiplatform.googleapis.com/schema": output only, its value is the inputs_schema's title.
Name string
Resource name of the DataLabelingJob.
SpecialistPools List<string>
The SpecialistPools' resource names associated with this job.
State string
The detailed state of the job.
UpdateTime string
Timestamp when this DataLabelingJob was updated most recently.
ActiveLearningConfig GoogleCloudAiplatformV1beta1ActiveLearningConfigResponse
Parameters that configure the active learning pipeline. Active learning will label the data incrementally via several iterations. For every iteration, it will select a batch of data based on the sampling strategy.
AnnotationLabels map[string]string
Labels to assign to annotations generated by this DataLabelingJob. 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. 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.
CreateTime string
Timestamp when this DataLabelingJob was created.
CurrentSpend GoogleTypeMoneyResponse
Estimated cost(in US dollars) that the DataLabelingJob has incurred to date.
Datasets []string
Dataset resource names. Right now we only support labeling from a single Dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}
DisplayName string
The user-defined name of the DataLabelingJob. The name can be up to 128 characters long and can consist of any UTF-8 characters. Display name of a DataLabelingJob.
EncryptionSpec GoogleCloudAiplatformV1beta1EncryptionSpecResponse
Customer-managed encryption key spec for a DataLabelingJob. If set, this DataLabelingJob will be secured by this key. Note: Annotations created in the DataLabelingJob are associated with the EncryptionSpec of the Dataset they are exported to.
Error GoogleRpcStatusResponse
DataLabelingJob errors. It is only populated when job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
Inputs interface{}
Input config parameters for the DataLabelingJob.
InputsSchemaUri string
Points to a YAML file stored on Google Cloud Storage describing the config for a specific type of DataLabelingJob. The schema files that can be used here are found in the https://storage.googleapis.com/google-cloud-aiplatform bucket in the /schema/datalabelingjob/inputs/ folder.
InstructionUri string
The Google Cloud Storage location of the instruction pdf. This pdf is shared with labelers, and provides detailed description on how to label DataItems in Datasets.
LabelerCount int
Number of labelers to work on each DataItem.
LabelingProgress int
Current labeling job progress percentage scaled in interval [0, 100], indicating the percentage of DataItems that has been finished.
Labels map[string]string
The labels with user-defined metadata to organize your DataLabelingJobs. 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. 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 DataLabelingJob: * "aiplatform.googleapis.com/schema": output only, its value is the inputs_schema's title.
Name string
Resource name of the DataLabelingJob.
SpecialistPools []string
The SpecialistPools' resource names associated with this job.
State string
The detailed state of the job.
UpdateTime string
Timestamp when this DataLabelingJob was updated most recently.
activeLearningConfig GoogleCloudAiplatformV1beta1ActiveLearningConfigResponse
Parameters that configure the active learning pipeline. Active learning will label the data incrementally via several iterations. For every iteration, it will select a batch of data based on the sampling strategy.
annotationLabels Map<String,String>
Labels to assign to annotations generated by this DataLabelingJob. 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. 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.
createTime String
Timestamp when this DataLabelingJob was created.
currentSpend GoogleTypeMoneyResponse
Estimated cost(in US dollars) that the DataLabelingJob has incurred to date.
datasets List<String>
Dataset resource names. Right now we only support labeling from a single Dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}
displayName String
The user-defined name of the DataLabelingJob. The name can be up to 128 characters long and can consist of any UTF-8 characters. Display name of a DataLabelingJob.
encryptionSpec GoogleCloudAiplatformV1beta1EncryptionSpecResponse
Customer-managed encryption key spec for a DataLabelingJob. If set, this DataLabelingJob will be secured by this key. Note: Annotations created in the DataLabelingJob are associated with the EncryptionSpec of the Dataset they are exported to.
error GoogleRpcStatusResponse
DataLabelingJob errors. It is only populated when job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
inputs Object
Input config parameters for the DataLabelingJob.
inputsSchemaUri String
Points to a YAML file stored on Google Cloud Storage describing the config for a specific type of DataLabelingJob. The schema files that can be used here are found in the https://storage.googleapis.com/google-cloud-aiplatform bucket in the /schema/datalabelingjob/inputs/ folder.
instructionUri String
The Google Cloud Storage location of the instruction pdf. This pdf is shared with labelers, and provides detailed description on how to label DataItems in Datasets.
labelerCount Integer
Number of labelers to work on each DataItem.
labelingProgress Integer
Current labeling job progress percentage scaled in interval [0, 100], indicating the percentage of DataItems that has been finished.
labels Map<String,String>
The labels with user-defined metadata to organize your DataLabelingJobs. 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. 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 DataLabelingJob: * "aiplatform.googleapis.com/schema": output only, its value is the inputs_schema's title.
name String
Resource name of the DataLabelingJob.
specialistPools List<String>
The SpecialistPools' resource names associated with this job.
state String
The detailed state of the job.
updateTime String
Timestamp when this DataLabelingJob was updated most recently.
activeLearningConfig GoogleCloudAiplatformV1beta1ActiveLearningConfigResponse
Parameters that configure the active learning pipeline. Active learning will label the data incrementally via several iterations. For every iteration, it will select a batch of data based on the sampling strategy.
annotationLabels {[key: string]: string}
Labels to assign to annotations generated by this DataLabelingJob. 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. 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.
createTime string
Timestamp when this DataLabelingJob was created.
currentSpend GoogleTypeMoneyResponse
Estimated cost(in US dollars) that the DataLabelingJob has incurred to date.
datasets string[]
Dataset resource names. Right now we only support labeling from a single Dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}
displayName string
The user-defined name of the DataLabelingJob. The name can be up to 128 characters long and can consist of any UTF-8 characters. Display name of a DataLabelingJob.
encryptionSpec GoogleCloudAiplatformV1beta1EncryptionSpecResponse
Customer-managed encryption key spec for a DataLabelingJob. If set, this DataLabelingJob will be secured by this key. Note: Annotations created in the DataLabelingJob are associated with the EncryptionSpec of the Dataset they are exported to.
error GoogleRpcStatusResponse
DataLabelingJob errors. It is only populated when job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
inputs any
Input config parameters for the DataLabelingJob.
inputsSchemaUri string
Points to a YAML file stored on Google Cloud Storage describing the config for a specific type of DataLabelingJob. The schema files that can be used here are found in the https://storage.googleapis.com/google-cloud-aiplatform bucket in the /schema/datalabelingjob/inputs/ folder.
instructionUri string
The Google Cloud Storage location of the instruction pdf. This pdf is shared with labelers, and provides detailed description on how to label DataItems in Datasets.
labelerCount number
Number of labelers to work on each DataItem.
labelingProgress number
Current labeling job progress percentage scaled in interval [0, 100], indicating the percentage of DataItems that has been finished.
labels {[key: string]: string}
The labels with user-defined metadata to organize your DataLabelingJobs. 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. 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 DataLabelingJob: * "aiplatform.googleapis.com/schema": output only, its value is the inputs_schema's title.
name string
Resource name of the DataLabelingJob.
specialistPools string[]
The SpecialistPools' resource names associated with this job.
state string
The detailed state of the job.
updateTime string
Timestamp when this DataLabelingJob was updated most recently.
active_learning_config GoogleCloudAiplatformV1beta1ActiveLearningConfigResponse
Parameters that configure the active learning pipeline. Active learning will label the data incrementally via several iterations. For every iteration, it will select a batch of data based on the sampling strategy.
annotation_labels Mapping[str, str]
Labels to assign to annotations generated by this DataLabelingJob. 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. 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.
create_time str
Timestamp when this DataLabelingJob was created.
current_spend GoogleTypeMoneyResponse
Estimated cost(in US dollars) that the DataLabelingJob has incurred to date.
datasets Sequence[str]
Dataset resource names. Right now we only support labeling from a single Dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}
display_name str
The user-defined name of the DataLabelingJob. The name can be up to 128 characters long and can consist of any UTF-8 characters. Display name of a DataLabelingJob.
encryption_spec GoogleCloudAiplatformV1beta1EncryptionSpecResponse
Customer-managed encryption key spec for a DataLabelingJob. If set, this DataLabelingJob will be secured by this key. Note: Annotations created in the DataLabelingJob are associated with the EncryptionSpec of the Dataset they are exported to.
error GoogleRpcStatusResponse
DataLabelingJob errors. It is only populated when job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
inputs Any
Input config parameters for the DataLabelingJob.
inputs_schema_uri str
Points to a YAML file stored on Google Cloud Storage describing the config for a specific type of DataLabelingJob. The schema files that can be used here are found in the https://storage.googleapis.com/google-cloud-aiplatform bucket in the /schema/datalabelingjob/inputs/ folder.
instruction_uri str
The Google Cloud Storage location of the instruction pdf. This pdf is shared with labelers, and provides detailed description on how to label DataItems in Datasets.
labeler_count int
Number of labelers to work on each DataItem.
labeling_progress int
Current labeling job progress percentage scaled in interval [0, 100], indicating the percentage of DataItems that has been finished.
labels Mapping[str, str]
The labels with user-defined metadata to organize your DataLabelingJobs. 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. 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 DataLabelingJob: * "aiplatform.googleapis.com/schema": output only, its value is the inputs_schema's title.
name str
Resource name of the DataLabelingJob.
specialist_pools Sequence[str]
The SpecialistPools' resource names associated with this job.
state str
The detailed state of the job.
update_time str
Timestamp when this DataLabelingJob was updated most recently.
activeLearningConfig Property Map
Parameters that configure the active learning pipeline. Active learning will label the data incrementally via several iterations. For every iteration, it will select a batch of data based on the sampling strategy.
annotationLabels Map<String>
Labels to assign to annotations generated by this DataLabelingJob. 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. 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.
createTime String
Timestamp when this DataLabelingJob was created.
currentSpend Property Map
Estimated cost(in US dollars) that the DataLabelingJob has incurred to date.
datasets List<String>
Dataset resource names. Right now we only support labeling from a single Dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}
displayName String
The user-defined name of the DataLabelingJob. The name can be up to 128 characters long and can consist of any UTF-8 characters. Display name of a DataLabelingJob.
encryptionSpec Property Map
Customer-managed encryption key spec for a DataLabelingJob. If set, this DataLabelingJob will be secured by this key. Note: Annotations created in the DataLabelingJob are associated with the EncryptionSpec of the Dataset they are exported to.
error Property Map
DataLabelingJob errors. It is only populated when job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
inputs Any
Input config parameters for the DataLabelingJob.
inputsSchemaUri String
Points to a YAML file stored on Google Cloud Storage describing the config for a specific type of DataLabelingJob. The schema files that can be used here are found in the https://storage.googleapis.com/google-cloud-aiplatform bucket in the /schema/datalabelingjob/inputs/ folder.
instructionUri String
The Google Cloud Storage location of the instruction pdf. This pdf is shared with labelers, and provides detailed description on how to label DataItems in Datasets.
labelerCount Number
Number of labelers to work on each DataItem.
labelingProgress Number
Current labeling job progress percentage scaled in interval [0, 100], indicating the percentage of DataItems that has been finished.
labels Map<String>
The labels with user-defined metadata to organize your DataLabelingJobs. 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. 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 DataLabelingJob: * "aiplatform.googleapis.com/schema": output only, its value is the inputs_schema's title.
name String
Resource name of the DataLabelingJob.
specialistPools List<String>
The SpecialistPools' resource names associated with this job.
state String
The detailed state of the job.
updateTime String
Timestamp when this DataLabelingJob was updated most recently.

Supporting Types

GoogleCloudAiplatformV1beta1ActiveLearningConfigResponse

MaxDataItemCount This property is required. string
Max number of human labeled DataItems.
MaxDataItemPercentage This property is required. int
Max percent of total DataItems for human labeling.
SampleConfig This property is required. Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1SampleConfigResponse
Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
TrainingConfig This property is required. Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1TrainingConfigResponse
CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.
MaxDataItemCount This property is required. string
Max number of human labeled DataItems.
MaxDataItemPercentage This property is required. int
Max percent of total DataItems for human labeling.
SampleConfig This property is required. GoogleCloudAiplatformV1beta1SampleConfigResponse
Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
TrainingConfig This property is required. GoogleCloudAiplatformV1beta1TrainingConfigResponse
CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.
maxDataItemCount This property is required. String
Max number of human labeled DataItems.
maxDataItemPercentage This property is required. Integer
Max percent of total DataItems for human labeling.
sampleConfig This property is required. GoogleCloudAiplatformV1beta1SampleConfigResponse
Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
trainingConfig This property is required. GoogleCloudAiplatformV1beta1TrainingConfigResponse
CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.
maxDataItemCount This property is required. string
Max number of human labeled DataItems.
maxDataItemPercentage This property is required. number
Max percent of total DataItems for human labeling.
sampleConfig This property is required. GoogleCloudAiplatformV1beta1SampleConfigResponse
Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
trainingConfig This property is required. GoogleCloudAiplatformV1beta1TrainingConfigResponse
CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.
max_data_item_count This property is required. str
Max number of human labeled DataItems.
max_data_item_percentage This property is required. int
Max percent of total DataItems for human labeling.
sample_config This property is required. GoogleCloudAiplatformV1beta1SampleConfigResponse
Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
training_config This property is required. GoogleCloudAiplatformV1beta1TrainingConfigResponse
CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.
maxDataItemCount This property is required. String
Max number of human labeled DataItems.
maxDataItemPercentage This property is required. Number
Max percent of total DataItems for human labeling.
sampleConfig This property is required. Property Map
Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
trainingConfig This property is required. Property Map
CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.

GoogleCloudAiplatformV1beta1EncryptionSpecResponse

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

GoogleCloudAiplatformV1beta1SampleConfigResponse

FollowingBatchSamplePercentage This property is required. int
The percentage of data needed to be labeled in each following batch (except the first batch).
InitialBatchSamplePercentage This property is required. int
The percentage of data needed to be labeled in the first batch.
SampleStrategy This property is required. string
Field to choose sampling strategy. Sampling strategy will decide which data should be selected for human labeling in every batch.
FollowingBatchSamplePercentage This property is required. int
The percentage of data needed to be labeled in each following batch (except the first batch).
InitialBatchSamplePercentage This property is required. int
The percentage of data needed to be labeled in the first batch.
SampleStrategy This property is required. string
Field to choose sampling strategy. Sampling strategy will decide which data should be selected for human labeling in every batch.
followingBatchSamplePercentage This property is required. Integer
The percentage of data needed to be labeled in each following batch (except the first batch).
initialBatchSamplePercentage This property is required. Integer
The percentage of data needed to be labeled in the first batch.
sampleStrategy This property is required. String
Field to choose sampling strategy. Sampling strategy will decide which data should be selected for human labeling in every batch.
followingBatchSamplePercentage This property is required. number
The percentage of data needed to be labeled in each following batch (except the first batch).
initialBatchSamplePercentage This property is required. number
The percentage of data needed to be labeled in the first batch.
sampleStrategy This property is required. string
Field to choose sampling strategy. Sampling strategy will decide which data should be selected for human labeling in every batch.
following_batch_sample_percentage This property is required. int
The percentage of data needed to be labeled in each following batch (except the first batch).
initial_batch_sample_percentage This property is required. int
The percentage of data needed to be labeled in the first batch.
sample_strategy This property is required. str
Field to choose sampling strategy. Sampling strategy will decide which data should be selected for human labeling in every batch.
followingBatchSamplePercentage This property is required. Number
The percentage of data needed to be labeled in each following batch (except the first batch).
initialBatchSamplePercentage This property is required. Number
The percentage of data needed to be labeled in the first batch.
sampleStrategy This property is required. String
Field to choose sampling strategy. Sampling strategy will decide which data should be selected for human labeling in every batch.

GoogleCloudAiplatformV1beta1TrainingConfigResponse

TimeoutTrainingMilliHours This property is required. string
The timeout hours for the CMLE training job, expressed in milli hours i.e. 1,000 value in this field means 1 hour.
TimeoutTrainingMilliHours This property is required. string
The timeout hours for the CMLE training job, expressed in milli hours i.e. 1,000 value in this field means 1 hour.
timeoutTrainingMilliHours This property is required. String
The timeout hours for the CMLE training job, expressed in milli hours i.e. 1,000 value in this field means 1 hour.
timeoutTrainingMilliHours This property is required. string
The timeout hours for the CMLE training job, expressed in milli hours i.e. 1,000 value in this field means 1 hour.
timeout_training_milli_hours This property is required. str
The timeout hours for the CMLE training job, expressed in milli hours i.e. 1,000 value in this field means 1 hour.
timeoutTrainingMilliHours This property is required. String
The timeout hours for the CMLE training job, expressed in milli hours i.e. 1,000 value in this field means 1 hour.

GoogleRpcStatusResponse

Code This property is required. int
The status code, which should be an enum value of google.rpc.Code.
Details This property is required. List<ImmutableDictionary<string, string>>
A list of messages that carry the error details. There is a common set of message types for APIs to use.
Message This property is required. string
A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
Code This property is required. int
The status code, which should be an enum value of google.rpc.Code.
Details This property is required. []map[string]string
A list of messages that carry the error details. There is a common set of message types for APIs to use.
Message This property is required. string
A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
code This property is required. Integer
The status code, which should be an enum value of google.rpc.Code.
details This property is required. List<Map<String,String>>
A list of messages that carry the error details. There is a common set of message types for APIs to use.
message This property is required. String
A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
code This property is required. number
The status code, which should be an enum value of google.rpc.Code.
details This property is required. {[key: string]: string}[]
A list of messages that carry the error details. There is a common set of message types for APIs to use.
message This property is required. string
A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
code This property is required. int
The status code, which should be an enum value of google.rpc.Code.
details This property is required. Sequence[Mapping[str, str]]
A list of messages that carry the error details. There is a common set of message types for APIs to use.
message This property is required. str
A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
code This property is required. Number
The status code, which should be an enum value of google.rpc.Code.
details This property is required. List<Map<String>>
A list of messages that carry the error details. There is a common set of message types for APIs to use.
message This property is required. String
A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

GoogleTypeMoneyResponse

CurrencyCode This property is required. string
The three-letter currency code defined in ISO 4217.
Nanos This property is required. int
Number of nano (10^-9) units of the amount. The value must be between -999,999,999 and +999,999,999 inclusive. If units is positive, nanos must be positive or zero. If units is zero, nanos can be positive, zero, or negative. If units is negative, nanos must be negative or zero. For example $-1.75 is represented as units=-1 and nanos=-750,000,000.
Units This property is required. string
The whole units of the amount. For example if currencyCode is "USD", then 1 unit is one US dollar.
CurrencyCode This property is required. string
The three-letter currency code defined in ISO 4217.
Nanos This property is required. int
Number of nano (10^-9) units of the amount. The value must be between -999,999,999 and +999,999,999 inclusive. If units is positive, nanos must be positive or zero. If units is zero, nanos can be positive, zero, or negative. If units is negative, nanos must be negative or zero. For example $-1.75 is represented as units=-1 and nanos=-750,000,000.
Units This property is required. string
The whole units of the amount. For example if currencyCode is "USD", then 1 unit is one US dollar.
currencyCode This property is required. String
The three-letter currency code defined in ISO 4217.
nanos This property is required. Integer
Number of nano (10^-9) units of the amount. The value must be between -999,999,999 and +999,999,999 inclusive. If units is positive, nanos must be positive or zero. If units is zero, nanos can be positive, zero, or negative. If units is negative, nanos must be negative or zero. For example $-1.75 is represented as units=-1 and nanos=-750,000,000.
units This property is required. String
The whole units of the amount. For example if currencyCode is "USD", then 1 unit is one US dollar.
currencyCode This property is required. string
The three-letter currency code defined in ISO 4217.
nanos This property is required. number
Number of nano (10^-9) units of the amount. The value must be between -999,999,999 and +999,999,999 inclusive. If units is positive, nanos must be positive or zero. If units is zero, nanos can be positive, zero, or negative. If units is negative, nanos must be negative or zero. For example $-1.75 is represented as units=-1 and nanos=-750,000,000.
units This property is required. string
The whole units of the amount. For example if currencyCode is "USD", then 1 unit is one US dollar.
currency_code This property is required. str
The three-letter currency code defined in ISO 4217.
nanos This property is required. int
Number of nano (10^-9) units of the amount. The value must be between -999,999,999 and +999,999,999 inclusive. If units is positive, nanos must be positive or zero. If units is zero, nanos can be positive, zero, or negative. If units is negative, nanos must be negative or zero. For example $-1.75 is represented as units=-1 and nanos=-750,000,000.
units This property is required. str
The whole units of the amount. For example if currencyCode is "USD", then 1 unit is one US dollar.
currencyCode This property is required. String
The three-letter currency code defined in ISO 4217.
nanos This property is required. Number
Number of nano (10^-9) units of the amount. The value must be between -999,999,999 and +999,999,999 inclusive. If units is positive, nanos must be positive or zero. If units is zero, nanos can be positive, zero, or negative. If units is negative, nanos must be negative or zero. For example $-1.75 is represented as units=-1 and nanos=-750,000,000.
units This property is required. String
The whole units of the amount. For example if currencyCode is "USD", then 1 unit is one US dollar.

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