The command "gcloud ml-engine jobs submit training" is indeed a correct command to submit a training job in Google Cloud Machine Learning. This command is part of the Google Cloud SDK (Software Development Kit) and is specifically designed to interact with the machine learning services provided by Google Cloud.
When executing this command, you need to provide various parameters to specify the details of your training job. These parameters include the job name, the job directory, the region where the job will run, the scale tier (which determines the machine types used for training), and the training input configuration.
For example, let's say you want to submit a training job named "my-training-job" with the training data located in the "gs://my-bucket/training-data" directory. You want the job to run in the us-central1 region and use the "BASIC" scale tier. The command to submit this job would be:
gcloud ml-engine jobs submit training my-training-job
–job-dir=gs://my-bucket/training-data
–region=us-central1
–scale-tier=BASIC
This command will initiate the training job in Google Cloud Machine Learning, using the specified parameters. The job will then be executed on the specified scale tier, utilizing the resources provided by Google Cloud.
It's important to note that before using this command, you need to have the Google Cloud SDK installed and authenticated with your Google Cloud account. Additionally, you should have your training code and dependencies properly packaged and uploaded to a storage location accessible by Google Cloud.
The command "gcloud ml-engine jobs submit training" is a valid and correct command to submit a training job in Google Cloud Machine Learning. By providing the necessary parameters, you can specify the details of your training job and initiate the training process using the resources provided by Google Cloud.
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