I would like to know if the class weighting is also used in evaluating the loss in the validation data during the training. If not, is there a way to adjust the fit() function so that it takes into account the class weighting during the validation loss calculation.
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$\begingroup$ I wonder why you want to add weights to the class during validation!! $\endgroup$– enterMLCommented Sep 7, 2017 at 5:52
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As described in the tensorflow docs[1], validation_data can be a tuple (inputs, targets, sample_weights). So, you can use this parameter for class weighting during the validation loss calculation.
[1] https://www.tensorflow.org/api_docs/python/tf/keras/Model#fit
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1$\begingroup$ This is sample weight, which means that I have to check for each class sample and make a vector that has the right class weight for each sample $\endgroup$– HatemBCommented Sep 4, 2017 at 12:49
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1$\begingroup$ @moh Any idea how to supply class weight for validation data when using a generator? $\endgroup$– EranCommented Sep 26, 2018 at 20:09