這條線是什麼意思

我比較新，但任何人都可以告訴我這條線是什麼意思？這條線是什麼意思

predicted= linear.predict(x_test)

來源

2017-01-23 AwArAw

我認爲sklearn.linear_model.LinearRegression().fit()預計(# of rows, 1)形狀的陣列。

演示：

In [52]: x_train= [5.5997066,4.759385,2.573958,5.586931,3.019574,4.296047,1.586953,0.5997066,3.683957] 

In [53]: linear.fit(x_train, y_train) 
<PYTHON_PATH>\lib\site-packages\sklearn\utils\validation.py:386: DeprecationWarning: Passing 1d arrays as data 
is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshap 
e(1, -1) if it contains a single sample. 
    DeprecationWarning) 
... 
skipped 
... 
ValueError: Found arrays with inconsistent numbers of samples: [1 9]

讓我們把它高興：

UPDATE：同樣也適用於x_test陣列：

In [60]: x_test = x_test.reshape(-1, 1) 

In [61]: x_test.shape 
Out[61]: (5, 1) 

In [62]: predicted= linear.predict(x_test) 

In [63]: predicted 
Out[63]: array([ 5.7559457, 5.7559457, 5.7559457, 5.7559457, 5.7559457])

來源

2017-01-23 15:29:59 MaxU

喜，抱歉，但我得到這個錯誤後改變它accordinly：「ValueError：形狀（1,5）和（1,1）不對齊ed：5（dim 1）！= 1（dim 0）「 – AwArAw

@AwArAw，好吧，這同樣適用於'x_test' – MaxU

@AwArAw，我已經更新了答案 - 請檢查 – MaxU

這條線是什麼意思

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