Sample Script Container Invoke

sagemaker_training_job.json

{
    "TrainingJobName": "cli-t-job",
    "HyperParameters": {
        "sagemaker_submit_directory": "s3://sagemaker-eu-west-2-776347453069/sagemaker-scikit-learn-2019-06-19-13-21-02-471/source/sourcedir.tar.gz",
        "sagemaker_program": "sklearn_abalone_featurizer.py",
        "sagemaker_enable_cloudwatch_metrics": "false",
        "sagemaker_container_log_level": "20",
        "sagemaker_job_name": "sagemaker-scikit-learn-2019-06-19-13-21-02-471",
        "sagemaker_region": "eu-west-2"
    },
    "AlgorithmSpecification": {
        "TrainingImage": "764974769150.dkr.ecr.eu-west-2.amazonaws.com/sagemaker-scikit-learn:0.20.0-cpu-py3",
        "TrainingInputMode": "File"
    },
    "RoleArn": "arn:aws:iam::776347453069:role/service-role/AmazonSageMaker-ExecutionRole-20180814T091888",
    "InputDataConfig": [
        {
            "ChannelName": "train",
            "DataSource": {
                "S3DataSource": {
                    "S3DataType": "S3Prefix",
                    "S3Uri": "s3://jasbarto-london-ml-bucket/Scikit-LinearLearner-pipeline-abalone-example/train/abalone.csv",
                    "S3DataDistributionType": "FullyReplicated"
                }
            },
            "InputMode": "File"
        }
    ],
    "OutputDataConfig": {
        "S3OutputPath": "s3://sagemaker-eu-west-2-776347453069/"
    },
    "ResourceConfig": {
        "InstanceType": "ml.m4.xlarge",
        "InstanceCount": 1,
        "VolumeSizeInGB": 10
    },
    "StoppingCondition": {
        "MaxRuntimeInSeconds": 86400
    }
}