updated class_weight explanation #14121
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amueller
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Jun 19, 2019
doc/glossary.rst
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| as linear SVM or logistic regression), the class weights will alter the | ||
| loss function by weighting the loss of each sample by its class weight. | ||
| For tree-based algorithms, the class weights will be used when | ||
| calculating the splitting criteria. |
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reweight the splitting criterion?
amueller
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Jun 19, 2019
|
If you're fixing an issue, please say "Fix # issuenumber" in your |
|
Sorry about that, I added the issue number to the PR description |
koenvandevelde
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Jul 12, 2019
* updated class_weight explanation * glossary_class_weight
jnothman
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Jul 29, 2019
* updated class_weight explanation * glossary_class_weight
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Reference Issues/PRs
Fix #14111
What does this implement/fix? Explain your changes.
Added a comment about class_weight mentioning that it alters loss function for linear models, and splitting criteria for tree-based models
Any other comments?