Please try to adhere to the guidelines below as much as possible when submitting your issue.
- Verify that your issue is not being currently addressed by other issues or pull requests.
- If your issue is a usage question or does not potentially require
changes to the codebase to be solved, then
StackOverflow
(using the
[scikit-learn]tag) or our mailing list may be a better place to bring it up. For more information, see User Questions.
If you are submitting a bug issue:
- Please include your operating system type and version number, as well as your Python, scikit-learn, numpy, and scipy versions. This information can be found by runnning the following code snippet:
import platform; print(platform.platform())
import sys; print("Python", sys.version)
import numpy; print("NumPy", numpy.__version__)
import scipy; print("SciPy", scipy.__version__)
import sklearn; print("Scikit-Learn", sklearn.__version__)
- Please be specific about what estimators and/or functions are involved and the shape of the data, as appropriate; please include a reproducible code snippet or link to a gist. If an exception is raised, please provide the traceback.
- Please ensure all code snippets and error messages are formatted in appropriate code blocks. See "Creating and highlighting code blocks".
If you are submitting an algorithm or feature request:
- Please verify that the algorithm fulfills our new algorithm requirements.
Thanks for contributing! Please delete these guidelines before submitting your issue.