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A scikit-learn implementation of BOOMER - an algorithm for learning gradient boosted multi-label output rules
pip install mlrl-boomer
PyPI declares 1 unique dependency rule for this release. Environment markers are shown when supplied by the project.
==0.15.4mlrl-boomer publishes 30 wheels and 0 source archives for version 0.15.4. Wheel platform tags: macosx_10_13_x86_64, macosx_10_15_x86_64, macosx_11_0_arm64, manylinux_2_27_aarch64.manylinux_2_28_aarch64, manylinux_2_27_x86_64.manylinux_2_28_x86_64, musllinux_1_2_aarch64, musllinux_1_2_x86_64, win_amd64, win_arm64.
No version-specific Python classifiers are declared.
PyPI lists 26 releases with files. The first dated release is ; 12 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .