Python X和Y矩阵的不相容维数

我想知道我这里出了什么错我得到了错误

Traceback (most recent call last):
  File "main.py", line 37, in <module>
    y_pred = knn.predict(X_test)
  File "/home/runner/.local/share/virtualenvs/python3/lib/python3.7/site-packages/sklearn/neighbors/classification.py", line149, in predict
    neigh_dist, neigh_ind = self.kneighbors(X)
  File "/home/runner/.local/share/virtualenvs/python3/lib/python3.7/site-packages/sklearn/neighbors/base.py", line 434, in kneighbors
    **kwds))
  File "/home/runner/.local/share/virtualenvs/python3/lib/python3.7/site-packages/sklearn/metrics/pairwise.py", line 1448, in pairwise_distances_chunked
    n_jobs=n_jobs, **kwds)
  File "/home/runner/.local/share/virtualenvs/python3/lib/python3.7/site-packages/sklearn/metrics/pairwise.py", line 1588, in pairwise_distances
    return _parallel_pairwise(X, Y, func, n_jobs, **kwds)
  File "/home/runner/.local/share/virtualenvs/python3/lib/python3.7/site-packages/sklearn/metrics/pairwise.py", line 1206, in _parallel_pairwise
    return func(X, Y, **kwds)
  File "/home/runner/.local/share/virtualenvs/python3/lib/python3.7/site-packages/sklearn/metrics/pairwise.py", line 232, ineuclidean_distances
    X, Y = check_pairwise_arrays(X, Y)
  File "/home/runner/.local/share/virtualenvs/python3/lib/python3.7/site-packages/sklearn/metrics/pairwise.py", line 125, incheck_pairwise_arrays
    X.shape[1], Y.shape[1]))
ValueError: Incompatible dimension for X and Y matrices: X.shape[1] == 38 while Y.shape[1] == 43

我的csv是巨大的，我不能上传到这里，所以我把一个小片段

age,menopause,tumor-size,inv-nodes,node-caps,deg-malig,breast,breast-quad,irradiat,Class
40-49,premeno,15-19,0-2,yes,3,right,left_up,no,recurrence-events
50-59,ge40,15-19,0-2,no,1,right,central,no,no-recurrence-events
50-59,ge40,35-39,0-2,no,2,left,left_low,no,recurrence-events
40-49,premeno,35-39,0-2,yes,3,right,left_low,yes,no-recurrence-events
40-49,premeno,30-34,3-5,yes,2,left,right_up,no,recurrence-events
50-59,premeno,25-29,3-5,no,2,right,left_up,yes,no-recurrence-events
50-59,ge40,40-44,0-2,no,3,left,left_up,no,no-recurrence-events
40-49,premeno,10-14,0-2,no,2,left,left_up,no,no-recurrence-events
40-49,premeno,0-4,0-2,no,2,right,right_low,no,no-recurrence-events
40-49,ge40,40-44,15-17,yes,2,right,left_up,yes,no-recurrence-events
50-59,premeno,25-29,0-2,no,2,left,left_low,no,no-recurrence-events
60-69,ge40,15-19,0-2,no,2,right,left_up,no,no-recurrence-events

---

另外，如果我去掉最后两行代码（预测代码），它运行良好，没有错误

尝试将这一行添加到变换上方的任何位置

enc=onehotcoder（handle\u unknown='ignore'）

然后将变换线更改为以下内容

enc=enc.fit（X_系列）
X_列=加密转换（X_列）
X_测试=加密转换（X_测试）

我收到了这个错误

```Traceback (most recent call last):
  File "main.py", line 25, in <module>
    X_test = OneHotEncoder().transform(X_test)
  File "/home/runner/.local/share/virtualenvs/python3/lib/python3.7/site-packages/sklearn/preprocessing/_encoders.py", line 726, in transform
    check_is_fitted(self, 'categories_')
  File "/home/runner/.local/share/virtualenvs/python3/lib/python3.7/site-packages/sklearn/utils/validation.py", line 914, in check_is_fitted
    raise NotFittedError(msg % {'name': type(estimator).__name__})
sklearn.exceptions.NotFittedError: This OneHotEncoder instance is not fitted yet. Call 'fit' with appropriate arguments before using this method.```

``回溯（最近一次呼叫最后一次）：
文件“main.py”，第25行，在
X_测试=OneHotEncoder（）。转换（X_测试）
文件“/home/runner/.local/share/virtualenvs/python3/lib/python3.7/site packages/sklearn/preprocessing/_encoders.py”，第726行，在转换中
检查是否安装了（自身“类别”）
文件“/home/runner/.local/share/virtualenvs/python3/lib/python3.7/site packages/sklearn/utils/validation.py”，第914行，检查是否安装
raise NOTFITTEDEError（msg%{'name'：类型（估计器）。\uuuuu name\uuuu}）
sklearn.exceptions.NotFitteError:此OneHotEncoder实例尚未安装。使用此方法之前，请使用适当的参数调用“fit”```

Hi LampPost在线查看后，我也找到了此解决方案，但在运行code@ScottPreen我做了一些测试，并据此编辑了我的答案。通过这些更改，它可以毫无错误地运行

```Traceback (most recent call last):
  File "main.py", line 25, in <module>
    X_test = OneHotEncoder().transform(X_test)
  File "/home/runner/.local/share/virtualenvs/python3/lib/python3.7/site-packages/sklearn/preprocessing/_encoders.py", line 726, in transform
    check_is_fitted(self, 'categories_')
  File "/home/runner/.local/share/virtualenvs/python3/lib/python3.7/site-packages/sklearn/utils/validation.py", line 914, in check_is_fitted
    raise NotFittedError(msg % {'name': type(estimator).__name__})
sklearn.exceptions.NotFittedError: This OneHotEncoder instance is not fitted yet. Call 'fit' with appropriate arguments before using this method.```