Skip to content

Do not use print function. Use logger instead #3591

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 2 commits into from
Jan 27, 2023
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
11 changes: 5 additions & 6 deletions src/sagemaker/processing.py
Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@
data pre-processing, post-processing, feature engineering, data validation, and model evaluation,
and interpretation on Amazon SageMaker.
"""
from __future__ import print_function, absolute_import
from __future__ import absolute_import

import os
import pathlib
Expand Down Expand Up @@ -840,11 +840,10 @@ def start_new(cls, processor, inputs, outputs, experiment_config):
"""
process_args = cls._get_process_args(processor, inputs, outputs, experiment_config)

# Print the job name and the user's inputs and outputs as lists of dictionaries.
print()
print("Job Name: ", process_args["job_name"])
print("Inputs: ", process_args["inputs"])
print("Outputs: ", process_args["output_config"]["Outputs"])
# Log the job name and the user's inputs and outputs as lists of dictionaries.
logger.debug("Job Name: %s", process_args["job_name"])
logger.debug("Inputs: %s", process_args["inputs"])
logger.debug("Outputs: %s", process_args["output_config"]["Outputs"])

# Call sagemaker_session.process using the arguments dictionary.
processor.sagemaker_session.process(**process_args)
Expand Down