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Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class DataLabelingJob.
DataLabelingJob is used to trigger a human labeling job on unlabeled data from the following Dataset:
Generated from protobuf message google.cloud.aiplatform.v1.DataLabelingJob
Methods
__construct
Constructor.
data
array
Optional. Data for populating the Message object.
↳ name
string
Output only. Resource name of the DataLabelingJob.
↳ display_name
string
Required. 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.
↳ datasets
array
Required. Dataset resource names. Right now we only support labeling from a single Dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}
↳ annotation_labels
array| Google\Protobuf\Internal\MapField
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.
↳ labeler_count
int
Required. Number of labelers to work on each DataItem.
↳ instruction_uri
string
Required. 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.
↳ inputs_schema_uri
string
Required. 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.
↳ inputs
↳ state
int
Output only. The detailed state of the job.
↳ labeling_progress
int
Output only. Current labeling job progress percentage scaled in interval [0, 100], indicating the percentage of DataItems that has been finished.
↳ current_spend
Google\Type\Money
Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to date.
↳ create_time
↳ update_time
Google\Protobuf\Timestamp
Output only. Timestamp when this DataLabelingJob was updated most recently.
↳ error
Google\Rpc\Status
Output only. DataLabelingJob errors. It is only populated when job's state is JOB_STATE_FAILED
or JOB_STATE_CANCELLED
.
↳ labels
array| Google\Protobuf\Internal\MapField
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.
↳ specialist_pools
array
The SpecialistPools' resource names associated with this job.
↳ encryption_spec
Google\Cloud\AIPlatform\V1\EncryptionSpec
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.
↳ active_learning_config
Google\Cloud\AIPlatform\V1\ActiveLearningConfig
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.
getName
Output only. Resource name of the DataLabelingJob.
string
setName
Output only. Resource name of the DataLabelingJob.
var
string
$this
getDisplayName
Required. 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.
string
setDisplayName
Required. 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.
var
string
$this
getDatasets
Required. Dataset resource names. Right now we only support labeling from a single Dataset.
Format: projects/{project}/locations/{location}/datasets/{dataset}
setDatasets
Required. Dataset resource names. Right now we only support labeling from a single Dataset.
Format: projects/{project}/locations/{location}/datasets/{dataset}
var
string[]
$this
getAnnotationLabels
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.
setAnnotationLabels
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.
$this
getLabelerCount
Required. Number of labelers to work on each DataItem.
int
setLabelerCount
Required. Number of labelers to work on each DataItem.
var
int
$this
getInstructionUri
Required. 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.
string
setInstructionUri
Required. 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.
var
string
$this
getInputsSchemaUri
Required. 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.
string
setInputsSchemaUri
Required. 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.
var
string
$this
getInputs
Required. Input config parameters for the DataLabelingJob.
hasInputs
clearInputs
setInputs
Required. Input config parameters for the DataLabelingJob.
$this
getState
Output only. The detailed state of the job.
int
setState
Output only. The detailed state of the job.
var
int
$this
getLabelingProgress
Output only. Current labeling job progress percentage scaled in interval [0, 100], indicating the percentage of DataItems that has been finished.
int
setLabelingProgress
Output only. Current labeling job progress percentage scaled in interval [0, 100], indicating the percentage of DataItems that has been finished.
var
int
$this
getCurrentSpend
Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to date.
hasCurrentSpend
clearCurrentSpend
setCurrentSpend
Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to date.
$this
getCreateTime
Output only. Timestamp when this DataLabelingJob was created.
hasCreateTime
clearCreateTime
setCreateTime
Output only. Timestamp when this DataLabelingJob was created.
$this
getUpdateTime
Output only. Timestamp when this DataLabelingJob was updated most recently.
hasUpdateTime
clearUpdateTime
setUpdateTime
Output only. Timestamp when this DataLabelingJob was updated most recently.
$this
getError
Output only. DataLabelingJob errors. It is only populated when job's state is JOB_STATE_FAILED
or JOB_STATE_CANCELLED
.
hasError
clearError
setError
Output only. DataLabelingJob errors. It is only populated when job's state is JOB_STATE_FAILED
or JOB_STATE_CANCELLED
.
$this
getLabels
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.
setLabels
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.
$this
getSpecialistPools
The SpecialistPools' resource names associated with this job.
setSpecialistPools
The SpecialistPools' resource names associated with this job.
var
string[]
$this
getEncryptionSpec
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.
hasEncryptionSpec
clearEncryptionSpec
setEncryptionSpec
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.
$this
getActiveLearningConfig
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.
hasActiveLearningConfig
clearActiveLearningConfig
setActiveLearningConfig
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.
$this
