(hopefully) correct treatment of class_weight

toolkit.py

@@ -811,8 +811,9 @@ class ClassificationProject(object):
                                self.y_train.reshape(-1, 1),
                                epochs=epochs,
                                validation_split = self.validation_split,
-                               class_weight=self.class_weight,
-                               sample_weight=self.w_train,
+                               # we have to multiply by class weight since keras ignores class weight if sample weight is given
+                               # see https://github.com/keras-team/keras/issues/497
+                               sample_weight=self.w_train*np.array(self.class_weight)[self.y_train.astype(int)],
                                shuffle=True,
                                batch_size=self.batch_size,
                                callbacks=self.callbacks_list)