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
If applicable, add screenshots or logs to help explain your problem.
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
Add any other context about the problem here.
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
Expected behavior
I expect the code to start a processing job.
Screenshots or logs
If applicable, add screenshots or logs to help explain your problem.
System information
A description of your system. Please provide:
I used the official tutorial so the config should pretty much be the same as that.
Additional context
Add any other context about the problem here.