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ML and optimization recipes for various subproblems, including: mixed integer portfolio optim, lgbm custom loss and others, fast and frugal decision trees etc.

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jupyter nbconvert lgbm-baseline.ipynb --to python

GIT

remove added files from commit

git reset <file>

Jupyter lab installation with R

pip install 'python-lsp-server[all]'
conda install jupyterlab
pip install jupyterlab
R -e 'install.packages("languageserver")'
R -e "install.packages("IRkernel")'
IRkernel::installspec

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ML and optimization recipes for various subproblems, including: mixed integer portfolio optim, lgbm custom loss and others, fast and frugal decision trees etc.

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