python - 值错误 : The model is not configured to compute accuracy

Question

当使用我从一些教程中获得的这段代码时，我收到错误消息，指出模型未配置为计算准确度，我应该通过准确度，奇怪的是我已经通过了 metrics = ['accuracy']

我搜索了很多，我看到的所有代码都可以正常工作，但我的除外。

评估 ANN

from keras.wrappers.scikit_learn import KerasClassifier
from sklearn.model_selection import cross_val_score
from tensorflow.python.keras.models import Sequential #Used to initialize the NN
from tensorflow.python.keras.layers import Dense #Used to create the layers in the ANN

def build_classifier():
    classifier = Sequential()
    classifier.add(Dense(units = 6, kernel_initializer = 'uniform', activation = 'relu',input_dim = 11))
    classifier.add(Dense(units= 6, kernel_initializer = 'uniform', activation = 'relu'))
    classifier.add(Dense(units = 1, kernel_initializer = 'uniform', activation = 'sigmoid'))
    classifier.compile(optimizer='adam', loss='binary_crossentropy', metrics= ['accuracy'])
    return classifier
# Needs to be revised from evaluting video in the course if needed
classifier = KerasClassifier(build_fn = build_classifier, batch_size = 10, nb_epoch = 100)
accuracies = cross_val_score(estimator = classifier, X = X_train, y = y_train, cv = 10, n_jobs = -1)

我希望输出是精度向量，但我得到了:

ValueError: The model is not configured to compute accuracy. You should pass metrics=["accuracy"] to the model.compile() method.

Answer 1

将 metrics=['accuracy'] 的参数更改为 metrics=['acc'] 对我有用。

问候， 约瑟夫