NameError: name 'num_epochs' is not defined

This error message means that the variable `num_epochs` has not been defined in your code. You need to define it before using it in your code. You can define it like this:

num_epochs = 10

Replace 10 with the desired number of epochs.

相关问题

NameError: name 'num_epochs' is not defined，该如何定义

这个错误通常是因为在使用变量 `num_epochs` 之前没有定义该变量。你需要确保在使用 `num_epochs` 变量之前先进行定义。例如：

num_epochs = 10

for epoch in range(num_epochs):
    # 在此处使用 num_epochs 变量
    ...

如果你已经定义了变量 `num_epochs` 但仍然出现该错误，那么可能是因为你在变量定义之前尝试使用该变量导致的错误。在 Python 中，变量的定义必须在使用之前。

加载数据 X = data.iloc[:, :-1].values y = data.iloc[:, -1:].values X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) # 训练模型 input_dim=13 hidden_dim=25 output_dim=1 nn=NeuralNetwork(input_dim, hidden_dim, output_dim) learning_rate=0.0016 num_epochs=2000 loss_history=nn.train(X, y, learning_rate, num_epochs) plt.plot(loss_history) plt.title('loss') plt.xlabel('Epoch') plt.ylabel('MSE') X_pred = data_pred.iloc[:, :-1].values y_pred = data_pred.iloc[:, -1:].values y_pred = nn.predict(X_pred)报错NameError: name 'data_pred' is not defined解决代码

你需要先定义 `data_pred` 变量并赋值，再执行 `X_pred = data_pred.iloc[:, :-1].values` 和 `y_pred = data_pred.iloc[:, -1:].values` 这两行代码。例如：

import pandas as pd

# 加载数据
data = pd.read_csv('train_data.csv')
data_pred = pd.read_csv('predict_data.csv')

X = data.iloc[:, :-1].values
y = data.iloc[:, -1:].values
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

# 训练模型
input_dim = 13
hidden_dim = 25
output_dim = 1
nn = NeuralNetwork(input_dim, hidden_dim, output_dim)
learning_rate = 0.0016
num_epochs = 2000
loss_history = nn.train(X, y, learning_rate, num_epochs)
plt.plot(loss_history)
plt.title('loss')
plt.xlabel('Epoch')
plt.ylabel('MSE')

X_pred = data_pred.iloc[:, :-1].values
y_pred = data_pred.iloc[:, -1:].values
y_pred = nn.predict(X_pred)