更新时间:2023-11-14 16:11:28
您可以直接在self.validation_data上进行迭代,以在每个时期结束时汇总所有验证数据.如果要计算精度,请在整个验证数据集中调用和F1:
You can iterate directly over self.validation_data to aggregate all the validation data at the end of each epoch. If you want to calculate precision, recall and F1 across the complete validation dataset:
# Validation metrics callback: validation precision, recall and F1
# Some of the code was adapted from https://medium.com/@thongonary/how-to-compute-f1-score-for-each-epoch-in-keras-a1acd17715a2
class Metrics(callbacks.Callback):
def on_train_begin(self, logs={}):
self.val_f1s = []
self.val_recalls = []
self.val_precisions = []
def on_epoch_end(self, epoch, logs):
# 5.4.1 For each validation batch
for batch_index in range(0, len(self.validation_data)):
# 5.4.1.1 Get the batch target values
temp_targ = self.validation_data[batch_index][1]
# 5.4.1.2 Get the batch prediction values
temp_predict = (np.asarray(self.model.predict(
self.validation_data[batch_index][0]))).round()
# 5.4.1.3 Append them to the corresponding output objects
if(batch_index == 0):
val_targ = temp_targ
val_predict = temp_predict
else:
val_targ = np.vstack((val_targ, temp_targ))
val_predict = np.vstack((val_predict, temp_predict))
val_f1 = round(f1_score(val_targ, val_predict), 4)
val_recall = round(recall_score(val_targ, val_predict), 4)
val_precis = round(precision_score(val_targ, val_predict), 4)
self.val_f1s.append(val_f1)
self.val_recalls.append(val_recall)
self.val_precisions.append(val_precis)
# Add custom metrics to the logs, so that we can use them with
# EarlyStop and csvLogger callbacks
logs["val_f1"] = val_f1
logs["val_recall"] = val_recall
logs["val_precis"] = val_precis
print("— val_f1: {} — val_precis: {} — val_recall {}".format(
val_f1, val_precis, val_recall))
return
valid_metrics = Metrics()
然后,您可以将有效参数添加到回调参数:
Then you can add valid_metrics to the callback argument:
your_model.fit_generator(..., callbacks = [valid_metrics])
如果您希望其他回调使用这些措施,请确保将其放在回调的开头.
Be sure to put it at the beginning of the callbacks in case you want other callbacks to use these measures.