[已解决]sklearn LinearRegression对数据格式的要求是什么呀

Catherinelzn

1. regressor = LinearRegression()
   
2. regressor.fit(X_train,y_train）

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1. ValueError: Expected 2D array, got 1D array instead:
   
2. array=[14 67 69 61  0 32 51 47 36 16 24 18 19 28 11 43 66 34 35 70 46 41 60 52
   
3. 73 72 33 62 44  3 57 26  6 48 10 65  8  9 15 40 50 13  4  5 23 17 22 64
   
4. 27 68].
   
5. 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.
   

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这是什么情况呢

最佳答案

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BngThea

2020-4-20 19:13:56

fit的参数需要填的是数据+特征数

x: {array-like, sparse matrix} of shape (n_samples, n_features)
Training data

y: array-like of shape (n_samples,) or (n_samples, n_targets)
Target values. Will be cast to X’s dtype if necessary

自己查官网文档不香吗？
https://scikit-learn.org/stable/ ... nearRegression.html

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BngThea

fit的参数需要填的是数据+特征数

x: {array-like, sparse matrix} of shape (n_samples, n_features)
Training data

y: array-like of shape (n_samples,) or (n_samples, n_targets)
Target values. Will be cast to X’s dtype if necessary

自己查官网文档不香吗？
https://scikit-learn.org/stable/ ... nearRegression.html

Catherinelzn

BngThea 发表于 2020-4-20 19:13
fit的参数需要填的是数据+特征数

谢谢谢谢！