This is a function that applies softmax normalization to a matrix or dataframe.
The datset to be normalized
This normalization is so called because it reaches "softly" towards maximum and minimum value, never quite getting there. The transformation is more or less linear in the middle range, and has a nonlinearity at both ends. The output range covered is [0,1]. The algorithm removes the classes of the dataset before normalization and replaces them at the end to form the matrix again.
original matrix normalized
Caroline Rodriguez and Edgar Acuna
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