What is the difference between predict and predict_class functions in keras?
Why does Model object don\'t have predict_c
predict will return the scores of the regression and predict_class will return the class of your prediction. Although it seems similar there are some differences:
Imagine you are trying to predict if the picture is a dog or a cat (you have a classifier):
predict will return you: 0.6 cat and 0.4 dog (for example).predict_class will return you catNow image you are trying to predict house prices (you have a regressor):
predict will return the predicted pricepredict_class will not make sense here since you do not have a classifierTL:DR: use predict_class for classifiers (outputs are labels) and use predict for regressions (outputs are non discrete)
Hope it helps!
For your second question, the answer is here
predict_classes method is only available for the Sequential class but not for the Model class You can check this answer