I am training a model for which I need to report class probabilities instead of a single classification. I have three classes, and each training instance has one of three classes assigned to it.
I am trying to use Keras to create MLP. But I cannot figure out how to extract the final probabilities of a class for each class. I use it as a basic example: http://machinelearningmastery.com/regression-tutorial-keras-deep-learning-library-python/
Thank!
You can use the method to predict your trained model
to predictpred (self, x, batch_size = 32, verbose = 0), .x: , Numpy ( Numpy, ). batch_size: integer. verbose: verbosity mode, 0 1.Numpy.
to predict
pred (self, x, batch_size = 32, verbose = 0)
, .
x: , Numpy ( Numpy, ). batch_size: integer. verbose: verbosity mode, 0 1.
Numpy.
model.predict(input_to_your_network)
(nb_classes > 1), .
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