ENH Improves memory usage and runtime for gradient boosting #26957
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Reference Issues/PRs
Found this when reviewing #26278
What does this implement/fix? Explain your changes.
On
main
, a CSR matrix is passed tofit
, which the tree will convert to a csc matrix here:scikit-learn/sklearn/tree/_tree.pyx
Lines 109 to 110 in 405a5a0
This PR makes use of the
X_csc
matrix when fitting, so the tree no longer needs to make the copy. Here is a quick memory profiler benchmark:main
PR
We can see that the PR runs faster and uses less memory overall.