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How to Evaluate the Logistic Loss and not NaN trying

fa.bianp.net · published 26 September 2019

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https://en.wikipedia.org/wiki/Sigmoid_function
en.wikipedia.org
http://scikit-learn.org/stable/modules/linear_model.html?ref=blog.josephofiowa.com
scikit-learn.org
https://en.wikipedia.org/wiki/Logistic_regression
en.wikipedia.org
http://www.jmlr.org/papers/volume9/fan08a/fan08a.pdf
jmlr.org
https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/svm/src/liblinear/linear.cpp
github.com
https://en.wikipedia.org/wiki/Round-off_error
en.wikipedia.org
https://docs.scipy.org/doc/numpy-1.13.0/user/basics.types.html
docs.scipy.org
https://docs.scipy.org/doc/scipy/reference/generated/scipy.special.logsumexp.html
docs.scipy.org
https://stat.ethz.ch/~maechler/
stat.ethz.ch
https://docs.scipy.org/doc/numpy/reference/generated/numpy.log1p.html
docs.scipy.org
http://mpmath.org/
mpmath.org
https://colab.research.google.com/gist/fabianp/2e3fbd3cc9046a87de59fff1603bbe5b/logistic_regression.ipynb
colab.research.google.com
https://docs.scipy.org/doc/scipy/reference/generated/scipy.special.expit.html
docs.scipy.org
http://openopt.github.io/copt/generated/copt.utils.LogLoss.html
openopt.github.io
https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/linear_model/logistic.py
github.com
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/logistic-loss.h
github.com
https://scholar.google.ca/citations?user=xdlBKc8AAAAJ&hl=fr
scholar.google.ca