Answers for "does logging help in machine learning python"

6

python logging example

# logging_example.py

import logging

# Create a custom logger
logger = logging.getLogger(__name__)

# Create handlers
c_handler = logging.StreamHandler()
f_handler = logging.FileHandler('file.log')
c_handler.setLevel(logging.WARNING)
f_handler.setLevel(logging.ERROR)

# Create formatters and add it to handlers
c_format = logging.Formatter('%(name)s - %(levelname)s - %(message)s')
f_format = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
c_handler.setFormatter(c_format)
f_handler.setFormatter(f_format)

# Add handlers to the logger
logger.addHandler(c_handler)
logger.addHandler(f_handler)

logger.warning('This is a warning')
logger.error('This is an error')
Posted by: Guest on May-03-2021
0

what do you use for logging

I use Log4J for logging. 
I always log important steps in the test
execution. That helps me to debug
when there is a failure.
Log4J is not a replacement for HTML reports.
<dependency>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j- core</artifactId>
<version>2.11.0</version>
</dependency>
Posted by: Guest on January-14-2021

Code answers related to "does logging help in machine learning python"

Python Answers by Framework

Browse Popular Code Answers by Language