Hello everyone I have a question regarding MLPClassifier in sklearn. In the documentation in section *1.17. Neural network models (supervised) - 1.17.2 Classification* it is stated that "*MLPClassifier* supports multi-class classification by applying Softmax <https://en.wikipedia.org/wiki/Softmax_activation_function> as the output function." However it is not clear how to apply the Softmax function.
The way I think (or hope) this works is that if a parameter *activation *is set to *activation = 'logistic' *Softmax function should be automatically applied whenever there are more than two classes. Is this right or does one have to explicitly specify the use of Softmax function in some way? I am sorry if this is a nonsense question. I am new to scikit-learn and machine learning in general and I was not sure about this one. Thank you for any answers in advance. With regards, D. B.
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