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