How to calculate F1 Macro in Keras?

Question

i\'ve tried to use the codes given from Keras before they\'re removed. Here\'s the code :

def precision(y_true, y_pred):
    true_positives = K.sum(K.round(K         


        

Answer 1

I also suggest this work-around

• install keras_metrics package by ybubnov
• call model.fit(nb_epoch=1, ...) inside a for loop taking advantage of the precision/recall metrics outputted after every epoch

Something like this:

    for mini_batch in range(epochs):
        model_hist = model.fit(X_train, Y_train, batch_size=batch_size, epochs=1,
                            verbose=2, validation_data=(X_val, Y_val))

        precision = model_hist.history['val_precision'][0]
        recall = model_hist.history['val_recall'][0]
        f_score = (2.0 * precision * recall) / (precision + recall)
        print 'F1-SCORE {}'.format(f_score)