ValueError:检查目标时出错:预期预测具有形状(4，)，但得到形状为(1，)的数组

import numpy as np

# 假设原始数据形状为 (10, 4)
original_data = np.random.rand(10, 4)

# 确保在预处理后数据的形状仍然是 (10, 4)
preprocessed_data = original_data  # 这里假设没有进行任何改变形状的操作

from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense

model = Sequential([
    Dense(64, activation='relu', input_shape=(4,)),
    Dense(4)  # 输出层应该有4个神经元，对应形状 (4,)
])

# 假设我们有一个批处理生成器
def batch_generator(data, batch_size):
    num_samples = data.shape[0]
    for start in range(0, num_samples, batch_size):
        end = min(start + batch_size, num_samples)
        yield data[start:end]

# 使用批处理生成器
batch_size = 4
for batch in batch_generator(preprocessed_data, batch_size):
    assert batch.shape == (batch_size, 4)  # 确保每个批次的形状正确

print(f"Data shape before preprocessing: {original_data.shape}")
print(f"Data shape after preprocessing: {preprocessed_data.shape}")