使用sklearn的pca模块fit数据报错“ValueError: array must not contain infs or NaNs”

 

 

使用sklearn的pca模块fit数据报错“ValueError: array must not contain infs or NaNs”：

Traceback (most recent call last):
  File "xxx.py", line 57, in <module>
    pca.fit(train_X)
  File "C:\Users\xyj\AppData\Roaming\Python\Python37\site-packages\sklearn\decomposition\_pca.py", line 351, in fit
    self._fit(X)
  File "C:\Users\xyj\AppData\Roaming\Python\Python37\site-packages\sklearn\decomposition\_pca.py", line 425, in _fit
    return self._fit_truncated(X, n_components, self._fit_svd_solver)
  File "C:\Users\xyj\AppData\Roaming\Python\Python37\site-packages\sklearn\decomposition\_pca.py", line 545, in _fit_truncated
    random_state=random_state)
  File "C:\Users\xyj\AppData\Roaming\Python\Python37\site-packages\sklearn\utils\validation.py", line 73, in inner_f
    return f(**kwargs)
  File "C:\Users\xyj\AppData\Roaming\Python\Python37\site-packages\sklearn\utils\extmath.py", line 358, in randomized_svd
    Uhat, s, V = linalg.svd(B, full_matrices=False)
  File "X:\anaconda\lib\site-packages\scipy\linalg\decomp_svd.py", line 109, in svd
    a1 = _asarray_validated(a, check_finite=check_finite)
  File "X:\anaconda\lib\site-packages\scipy\_lib\_util.py", line 239, in _asarray_validated
    a = toarray(a)
  File "C:\Users\xyj\AppData\Roaming\Python\Python37\site-packages\numpy\lib\function_base.py", line 499, in asarray_chkfinite
    "array must not contain infs or NaNs")
ValueError: array must not contain infs or NaNs

　　参考github对应库的issues进行解决，https://github.com/scikit-learn/scikit-learn/issues/18138，第一次fit在try里面运行，第二次就成功fit。：

try:
    pca.fit(train_X)
except:
    pca.fit(train_X)

至于原因。。。没时间看了