-
-
Notifications
You must be signed in to change notification settings - Fork 26k
DOC Note missing value support as advantage of decision trees #26928
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
DOC Note missing value support as advantage of decision trees #26928
Conversation
Linting passed, but I am not ReST crack and a pair of human eyes are more than welcome to check. |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Thank you for the PR @fabianegli !
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
@thomasjpfan Thank you for the review 🙇♂️ |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Thank you for the update!
…-learn#26928) Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
…-learn#26928) Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
…-learn#26928) Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
Reference Issues/PRs
Fixes #26925.
What does this implement/fix? Explain your changes.
Replaces the previous note of decision trees not supporting missing values with a note and link to the missing value support section in the same document. Missing value support was added in v1.3 of scikit-learn.