FIX Support read-only sparse datasets for Tree-based estimators
#25341
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const-qualify BaseSparseSplitter attributes of CSR data const-qualify BaseSparseSplitter attributes of CSR or CSC data
const-qualify BaseSparseSplitter attributes of CSR or CSC data Tree-based estimators
thomasjpfan
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Jan 11, 2023
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
jjerphan
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Jan 12, 2023
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
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…ikit-learn#25341) Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com> Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
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…ikit-learn#25341) Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com> Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
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…ikit-learn#25341) Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com> Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
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Reference Issues/PRs
Fixes #25333.
Fixes #25247.
What does this implement/fix? Explain your changes.
In some workflows using
DecisionTree*(this includeRandomForest*andExtraTrees*):joblibmight memmap arrays making their buffer read-only.Those cases are correctly supported when using dense datasets thanks to
const-qualification of memoryview in Cython. Yet those cases aren't currently supported when using sparse datasets (for instance whenXis provided as a CSC or as a CSR matrix).const-qualifying CSC or CSR buffers (i.e.data,indicesandindptr) inBaseSparseSplitterallows supporting those cases when using sparse datasets.