如何解决UnimplementedError: Cast string to float is not supported..我该如何解决这种错误,请
当我运行以下代码时,出现此类型错误:
(未实现错误:不支持将字符串转换为浮点数 [[节点顺序_5/Cast(定义于:11)]] [操作:__inference_train_function_4357] 函数调用栈: train_function)
我使用的是 Anaconda(jupyter notebook),python 3.8.5。如何解决这个问题?
import tensorflow as tf
from tensorflow import keras
from sklearn.metrics import confusion_matrix,classification_report
def ANN(X_train,y_train,X_test,y_test,loss,weights):
model = keras.Sequential([
keras.layers.Dense(1,input_dim=1,activation='relu'),keras.layers.Dense(15,keras.layers.Dense(1,activation='sigmoid')
])
model.compile(optimizer='adam',loss=loss,metrics=['accuracy'])
if weights == -1:
model.fit(X_train,epochs=100)
else:
model.fit(X_train,epochs=100,class_weight = weights)
print(model.evaluate(X_test,y_test))
y_preds = model.predict(X_test)
y_preds = np.round(y_preds)
print("Classification Report: \n",classification_report(y_test,y_preds))
return y_preds
loss = keras.losses.BinaryCrossentropy()
weights = -1
y_preds = ANN(X_train,'binary_crossentropy',-1)
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