AlgorithmError while replicating Sagemaker Preprocessing in lambda.

[Olamyy]

Describe the bug
I'm using the sagemaker client in boto3 to start a processing job in a lambda function. For some reason, I keep getting an AlgorithmError when I check the status of the processing job. To ensure it's not from my end, I used exactly the same set variables and script from the official tutorial available at https://github.com/awslabs/amazon-sagemaker-examples/blob/master/sagemaker_processing/scikit_learn_data_processing_and_model_evaluation/scikit_learn_data_processing_and_model_evaluation.ipynb.

To reproduce
Here's the relevant part of my lambda function

parameters = {
  "image_uri": "492215442770.dkr.ecr.eu-central-1.amazonaws.com/sagemaker-scikit-learn:0.20.0-cpu-py3",
  "role_name": "arn:aws:iam::AccountID:role/myUser",
  "arguments": [
    "--train-test-split-ratio",
    "0.2"
  ],
  "environment": {},
  "entrypoint": [
    "python3",
    "s3://processing-test/processing.py"
  ],
  "resources": {
    "ClusterConfig": {
      "InstanceType": "ml.m5.xlarge",
      "InstanceCount": 1,
      "VolumeSizeInGB": 1,
      "VolumeKmsKeyId": ""
    }
  },
  "tags": [],
  "inputs": [
    {
      "InputName": "test_input_name",
      "S3Input": {
        "S3Uri": "s3://sagemaker-sample-data-eu-central-1/processing/census/census-income.csv",
        "S3DataType": "S3Prefix",
        "S3InputMode": "File",
        "LocalPath": "/opt/ml/processing/input/"
      }
    }
  ],
  "outputs": [
    {
      "OutputName": "test_output_name",
      "S3Output": {
        "S3Uri": "s3://processing-test/output/",
        "S3UploadMode": "EndOfJob",
        "LocalPath": "/opt/ml/processing/output/"
      },
      "KmsKeyId": "alias/processing-kms-key"
    }
  ],
  "max_runtime": 86400,
  "network_config": {},
  "experiment_config": {},
  "job_name": "zflow-sagemaker-processing-test-pr-1-74-29-03-2020-06-24"
}

botocore_config = Config(
        retries=dict(
            max_attempts=10
        )
    )

sagemaker_client = boto3.client('sagemaker', config=botocore_config)

request = sagemaker_client.create_processing_job(
        **parameters
    )

Expected behavior
I expect the code to start a processing job.

Screenshots or logs
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System information
A description of your system. Please provide:

• Framework version: Sklearn Version 0.20.0
  I used the official tutorial so the config should pretty much be the same as that.

Additional context
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