I'm learning about SageMaker Experiments and I gotcha a client error that I did not figure out what it is. If I understood correctly, I think that is something when the SM tries to save the generated training model. Besides, the training job completes successfully, but it shows this error in the end. I'm using the sklearn.estimator to train the random forest algorithm. Tkx in advance for this help.
The code and the error are the following:
code:
from sagemaker.sklern.estimator import SKLearn
with Run() as run:
sklearn_estimator = SKLearn(entry_point="rfc_script.py",
source_dir="../experiments/scripts",
role=get_execution_role(),
instance_count=1,
intance_type="ml.c5.xlarge",
framework_version="1.2-1",
output_path=f"s3://{bucket}/{prefix}/outputs",
base_job_name="rf-scikit",
metric_definitions=metric_definitions,
hyperparamenters=hyperparamenters,)
sklearn_estimator.fit({"train":s3_inputs_train, "test":s3_inputs_test, "validation":s3_inputs_validation}, job_name=f"rf-job{id}", wait= True)
SageMaker Training Job status: Completed
ClientError:
