gcloud alpha ml-engine jobs describe

NAME
gcloud alpha ml-engine jobs describe - describe an AI Platform job
SYNOPSIS
gcloud alpha ml-engine jobs describe JOB [--summarize] [GCLOUD_WIDE_FLAG]
DESCRIPTION
(ALPHA) Describe an AI Platform job.
EXAMPLES
To describe the AI Platform job named my-job, run:
gcloud alpha ml-engine jobs describe my-job
POSITIONAL ARGUMENTS
JOB
Name of the job.
FLAGS
--summarize
Summarize job output in a set of human readable tables instead of rendering the entire resource as json or yaml. The tables currently rendered are:
  • Job Overview: Overview of job including, jobId, status and create time.
  • Training Input Summary: Summary of input for a training job including region, main training python module and scale tier.
  • Training Output Summary: Summary of output for a training job including the amount of ML units consumed by the job.
  • Training Output Trials: Summary of hyperparameter trials run for a hyperparameter tuning training job.
  • Predict Input Summary: Summary of input for a prediction job including region, model verion and output path.
  • Predict Output Summary: Summary of output for a prediction job including prediction count and output path.

This flag overrides the --format flag. If both are present on the command line, a warning is displayed.

GCLOUD WIDE FLAGS
These flags are available to all commands: --access-token-file, --account, --billing-project, --configuration, --flags-file, --flatten, --format, --help, --impersonate-service-account, --log-http, --project, --quiet, --trace-token, --user-output-enabled, --verbosity.

Run $ gcloud help for details.

NOTES
This command is currently in alpha and might change without notice. If this command fails with API permission errors despite specifying the correct project, you might be trying to access an API with an invitation-only early access allowlist. These variants are also available:
gcloud ml-engine jobs describe
gcloud beta ml-engine jobs describe