When the job is in this state, it samples prediction input and output
from your model version into your BigQuery table as predictions occur.
Generated from protobuf enumSCHEDULED = 1;
RUNNING
Value: 2
The job is currently running. When the job runs, Data Labeling Service
does several things:
If you have configured your job to use Data Labeling Service for
ground truth labeling, the service creates aDatasetand a labeling task for all data sampled
since the last time the job ran. Human labelers provide ground truth
labels for your data. Human labeling may take hours, or even days,
depending on how much data has been sampled. The job remains in theRUNNINGstate during this time, and it can even be running multiple
times in parallel if it gets triggered again (for example 24 hours
later) before the earlier run has completed. When human labelers have
finished labeling the data, the next step occurs.
If you have configured your job to provide your own ground truth
labels, Data Labeling Service still creates aDatasetfor newly
sampled data, but it expects that you have already added ground truth
labels to the BigQuery table by this time. The next step occurs
immediately.
Data Labeling Service creates anEvaluationby comparing your
model version's predictions with the ground truth labels.
If the job remains in this state for a long time, it continues to sample
prediction data into your BigQuery table and will run again at the next
interval, even if it causes the job to run multiple times in parallel.
Generated from protobuf enumRUNNING = 2;
PAUSED
Value: 3
The job is not sampling prediction input and output into your BigQuery
table and it will not run according to its schedule. You canresumethe job.
Generated from protobuf enumPAUSED = 3;
STOPPED
Value: 4
The job has this state right before it is deleted.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-04 UTC."],[],[],null,["# Google Cloud Datalabeling V1beta1 Client - Class State (0.6.3)\n\nVersion latestkeyboard_arrow_down\n\n- [0.6.3 (latest)](/php/docs/reference/cloud-datalabeling/latest/V1beta1.EvaluationJob.State)\n- [0.6.2](/php/docs/reference/cloud-datalabeling/0.6.2/V1beta1.EvaluationJob.State)\n- [0.5.7](/php/docs/reference/cloud-datalabeling/0.5.7/V1beta1.EvaluationJob.State)\n- [0.4.2](/php/docs/reference/cloud-datalabeling/0.4.2/V1beta1.EvaluationJob.State)\n- [0.3.1](/php/docs/reference/cloud-datalabeling/0.3.1/V1beta1.EvaluationJob.State)\n- [0.2.0](/php/docs/reference/cloud-datalabeling/0.2.0/V1beta1.EvaluationJob.State)\n- [0.1.14](/php/docs/reference/cloud-datalabeling/0.1.14/V1beta1.EvaluationJob.State) \n| **Beta**\n|\n|\n| This library is covered by the [Pre-GA Offerings Terms](/terms/service-terms#1)\n| of the Terms of Service. Pre-GA libraries might have limited support,\n| and changes to pre-GA libraries might not be compatible with other pre-GA versions.\n| For more information, see the\n[launch stage descriptions](/products#product-launch-stages). \nReference documentation and code samples for the Google Cloud Datalabeling V1beta1 Client class State.\n\nState of the job.\n\nProtobuf type `google.cloud.datalabeling.v1beta1.EvaluationJob.State`\n\nNamespace\n---------\n\nGoogle \\\\ Cloud \\\\ DataLabeling \\\\ V1beta1 \\\\ EvaluationJob\n\nMethods\n-------\n\n### static::name\n\n### static::value\n\nConstants\n---------\n\n### STATE_UNSPECIFIED\n\n Value: 0\n\nGenerated from protobuf enum `STATE_UNSPECIFIED = 0;`\n\n### SCHEDULED\n\n Value: 1\n\nThe job is scheduled to run at the [configured interval](/php/docs/reference/cloud-datalabeling/latest/V1beta1.EvaluationJob#_Google_Cloud_DataLabeling_V1beta1_EvaluationJob__getSchedule__). You\ncan [pause](/php/docs/reference/cloud-datalabeling/latest/V1beta1.Client.DataLabelingServiceClient#_Google_Cloud_DataLabeling_V1beta1_Client_DataLabelingServiceClient__pauseEvaluationJob__) or\n[delete](/php/docs/reference/cloud-datalabeling/latest/V1beta1.Client.DataLabelingServiceClient#_Google_Cloud_DataLabeling_V1beta1_Client_DataLabelingServiceClient__deleteEvaluationJob__) the job.\n\nWhen the job is in this state, it samples prediction input and output\nfrom your model version into your BigQuery table as predictions occur.\n\nGenerated from protobuf enum `SCHEDULED = 1;`\n\n### RUNNING\n\n Value: 2\n\nThe job is currently running. When the job runs, Data Labeling Service\ndoes several things:\n\n1. If you have configured your job to use Data Labeling Service for ground truth labeling, the service creates a [Dataset](/php/docs/reference/cloud-datalabeling/latest/V1beta1.Dataset) and a labeling task for all data sampled since the last time the job ran. Human labelers provide ground truth labels for your data. Human labeling may take hours, or even days, depending on how much data has been sampled. The job remains in the `RUNNING` state during this time, and it can even be running multiple times in parallel if it gets triggered again (for example 24 hours later) before the earlier run has completed. When human labelers have finished labeling the data, the next step occurs.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\nIf you have configured your job to provide your own ground truth\nlabels, Data Labeling Service still creates a [Dataset](/php/docs/reference/cloud-datalabeling/latest/V1beta1.Dataset) for newly\nsampled data, but it expects that you have already added ground truth\nlabels to the BigQuery table by this time. The next step occurs\nimmediately.\n\n1. Data Labeling Service creates an [Evaluation](/php/docs/reference/cloud-datalabeling/latest/V1beta1.Evaluation) by comparing your model version's predictions with the ground truth labels. If the job remains in this state for a long time, it continues to sample prediction data into your BigQuery table and will run again at the next interval, even if it causes the job to run multiple times in parallel.\n\nGenerated from protobuf enum `RUNNING = 2;`\n\n### PAUSED\n\n Value: 3\n\nThe job is not sampling prediction input and output into your BigQuery\ntable and it will not run according to its schedule. You can\n[resume](/php/docs/reference/cloud-datalabeling/latest/V1beta1.Client.DataLabelingServiceClient#_Google_Cloud_DataLabeling_V1beta1_Client_DataLabelingServiceClient__resumeEvaluationJob__) the job.\n\nGenerated from protobuf enum `PAUSED = 3;`\n\n### STOPPED\n\n Value: 4\n\nThe job has this state right before it is deleted.\n\nGenerated from protobuf enum `STOPPED = 4;`"]]