Question

我正在从github运行以下代码，但出现错误。怎么了？

https://github.com/susanli2016/Machine-Learning-with-Python/blob/master/Time%20Series%20ANN%20%26%20LSTM%20VIX.ipynb

单元格：

# scale train and test data to [-1, 1]
scaler = MinMaxScaler(feature_range=(-1, 1))
train_sc = scaler.fit_transform(train)
test_sc = scaler.transform(test)

错误：

ValueError: Expected 2D array, got 1D array instead:
array=[17.24     18.190001 19.219999 ... 10.47     10.18     11.04    ].
Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample.

Answer 1

制造该笔记本的人正在使用旧版本的sklearn。简而言之，当您的功能本来应该是[row_1, row_2...row_n]形式时，它们的形式就是[[row_1], [row_2]...[row_n]]。

相应地，使用此：

new_shape = (len(train), 1)

train_sc = scaler.fit_transform(np.reshape(train, new_shape))
test_sc = scaler.transform(np.reshape(test, new_shape))

Answer 2

解决了添加以下方法的问题，该方法显然将训练对象和测试对象转换为numpy数组。正确吗？

scaler = MinMaxScaler(feature_range=(-1, 1))
train_sc = scaler.fit_transform(train.values.reshape(-1, 1))
test_sc = scaler.transform(test.values.reshape(-1,1))

预期2D阵列，得到1D阵列

2 个答案: