Removing logs of optimization in cross_validation

[chinmaydas96]

I am getting lots of logs while running the cross_validation using dask, Does anyone know a workaround for that thing?. I tried to follow the solution from issue #223 , but I am unable to hide the log.

I was using this like this.

with self.suppress_stdout_stderr(): df_cv = cross_validation(m, horizon='7 days', period='7 days', initial='500 days', parallel='dask')

[IanRayburn]

I have the same problem, did you ever find a solution?

[bixiadaren]

This method can avoid outputting logs in the terminal or jupyter notebook. But it makes the code look a little strange.

import sys

# Create a file to save the output of stdout
stdout_file_path = 'path/to/stdout_file.txt'  # Replace with the path where you want to save stdout
stdout_file = open(stdout_file_path, 'w')

# Create a file to save the output of stderr
stderr_file_path = 'path/to/stderr_file.txt'  # Replace with the path where you want to save stderr
stderr_file = open(stderr_file_path, 'w')

# Redirecting stdout and stderr
sys.stdout = stdout_file
sys.stderr = stderr_file

# Your code here!!!
print("This is stdout message.")
print("This is stderr message.", file=sys.stderr)

# Restore stdout and stderr to default output.
sys.stdout = sys.__stdout__
sys.stderr = sys.__stderr__

# Close file
stdout_file.close()
stderr_file.close()

print("The stdout and stderr outputs have been successfully imported into the file.")