Logistic newton cg #84
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Use DAAL for computation of objective function with solver newton-cg Application of Hessian applied to a vector without computing the Hessian in full is done in Python for now. comment out _map_to_binary_logistic_regression() to mend Py2 builds (nonlocal is Py3 only). Will be reinstanted once Python 2 is decomissioned
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* initial * codefactor & EOF * Update report_generator.py * apply comments * round ratio cell * apply readme comments * Update report_generator/README.md * elastic-net->elasticnet && add iter in lasso & elasticnet && pca n_components int->float * remove knn_regr * Update sklearn_bench/pca.py Co-authored-by: Ekaterina Mekhnetsova <mekkatya@gmail.com>
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Supporting use of DAAL to compute loss function and its gradients for
LogisticRegression(solver='newton-cg'). Due to lack of the corresponding functionality, computation of Hessian times a vector is still done in Python.