cloud_train.ipynb

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    "## Train on the cloud using `ml-engine`\n",
    "Note the arguments to `ml-engine`. Those before the empty `--` are specific to ML Engine, while those after, named `USER_ARGS`, are for your package."
   ]
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    "%%bash\n",
    "TRAIN_DATA_PATHS=path/to/training/data\n",
    "OUTPUT_DIR=path/to/output/location\n",
    "JOBNAME=my_ml_job_$(date -u +%y%m%d_%H%M%S)\n",
    "REGION='us-central1'\n",
    "BUCKET='my-bucket-name'\n",
    "\n",
    "gcloud ml-engine jobs submit training $JOBNAME \\\n",
    "        --package-path=$PWD/training_example/trainer \\\n",
    "        --module-name=trainer.task \\\n",
    "        --region=$REGION \\\n",
    "        --staging-bucket=gs://$BUCKET \\\n",
    "        --scale-tier=BASIC \\\n",
    "        --runtime-version=1.8 \\\n",
    "        -- \\  # Required.\n",
    "        --train_data_paths $TRAIN_DATA_PATHS \\\n",
    "        --output_dir $OUTPUT_DIR\\\n",
    "        --batch_size 100\\\n",
    "        --hidden_units 50,25,10"
   ]
  }
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