Python ValueError:找到样本数不一致的输入变量：[4，103]

我一直在尝试从一本书中自学机器学习，这是我第一次尝试“非常规”算法。准备好数据后，我使用导入的split函数，然后尝试进行一些预测。但是，即使在手动验证每个功能的#数量相同后，我也会得到一个错误声明：

Traceback (most recent call last):
  File "main.py", line 89, in <module>
    xTrain, xTest, yTrain, yTest = tts(new_data, netGood, random_state=0)
  File "/home/runner/.local/lib/python3.6/site-packages/sklearn/model_selection/_split.py", line 2096, in train_test_split
    arrays = indexable(*arrays)
  File "/home/runner/.local/lib/python3.6/site-packages/sklearn/utils/validation.py", line 230, in indexable
    check_consistent_length(*result)
  File "/home/runner/.local/lib/python3.6/site-packages/sklearn/utils/validation.py", line 205, in check_consistent_length
    " samples: %r" % [int(l) for l in lengths])
ValueError: Found input variables with inconsistent numbers of samples: [4, 103]

---

你需要有新的数据，这是一个观察数组。现在，您拥有一系列功能。只需将其转置即可修复：

import numpy as np
new_data = np.transpose(new_data)

103
103
103
103
103
---------------------------

import numpy as np
new_data = np.transpose(new_data)