def on_epoch_end(self, epoch, logs={}):
ypred=[]
for ogr in self.task.sample_pairs(self.task.grv, batch_size=len(self.task.grv['score']), shuffle=False, once=True):
ypred += list(self.model.predict(ogr)['score'])
ypred = np.array(ypred)
acc, cls_acc = ev.multiclass_accuracy(self.task.grv['score'], ypred)
print(' val acc %f' % (acc,))
logs['acc'] = acc
def on_epoch_end(self, epoch, logs={}):
ypred = []
for ogr in self.task.sample_pairs(self.task.grv,
batch_size=len(
self.task.grv['score']),
shuffle=False,
once=True):
ypred += list(self.model.predict(ogr)['score'])
ypred = np.array(ypred)
acc, cls_acc = ev.multiclass_accuracy(self.task.grv['score'], ypred)
print(
' val acc %f'
% (acc, ))
logs['acc'] = acc
def on_epoch_end(self, epoch, logs={}):
ypred = self.model.predict(self.val_gr)['score']
acc, cls_acc = ev.multiclass_accuracy(self.val_gr['score'], ypred)
print(' val acc %f' % (acc,))
logs['acc'] = acc
