How to Fix FutureWarning Messages in scikit-learn
Last Updated on August 21, 2019
Upcoming changes to the scikit-learn library for machine learning are reported through the use of FutureWarning messages when the code is run.
Warning messages can be confusing to beginners as it looks like there is a problem with the code or that they have done something wrong. Warning messages are also not good for operational code as they can obscure errors and program output.
There are many ways to handle a warning message, including ignoring the message, suppressing warnings, and fixing the code.
In this tutorial, you will discover FutureWarning messages in the scikit-learn API and how to handle them in your own machine learning projects.
After completing this tutorial, you will know:
- FutureWarning messages are designed to inform you about upcoming changes to default values for arguments in the scikit-learn API.
- FutureWarning messages can be ignored or suppressed as they do not halt the execution of your program.
- Examples of FutureWarning messages and how to interpret the message and change your code to address the upcoming change.
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