The job is not sampling prediction input and output into your BigQuery
table and it will not run according to its schedule. You can
resume the job.
PAUSED = 3;
PAUSED_VALUE
The job is not sampling prediction input and output into your BigQuery
table and it will not run according to its schedule. You can
resume the job.
PAUSED = 3;
RUNNING
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 a
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.
<br><br>
If you have configured your job to provide your own ground truth
labels, Data Labeling Service still creates a Dataset for 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 an 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.
RUNNING = 2;
RUNNING_VALUE
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 a
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.
<br><br>
If you have configured your job to provide your own ground truth
labels, Data Labeling Service still creates a Dataset for 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 an 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.
RUNNING = 2;
SCHEDULED
The job is scheduled to run at the configured interval. You
can pause or
delete the job.
When the job is in this state, it samples prediction input and output
from your model version into your BigQuery table as predictions occur.
SCHEDULED = 1;
SCHEDULED_VALUE
The job is scheduled to run at the configured interval. You
can pause or
delete the job.
When the job is in this state, it samples prediction input and output
from your model version into your BigQuery table as predictions occur.
SCHEDULED = 1;
STATE_UNSPECIFIED
STATE_UNSPECIFIED = 0;
STATE_UNSPECIFIED_VALUE
STATE_UNSPECIFIED = 0;
STOPPED
The job has this state right before it is deleted.
STOPPED = 4;
STOPPED_VALUE
The job has this state right before it is deleted.