ValueError: Несоответствующее количество образцов [404290, 100000] - PullRequest
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ValueError: Несоответствующее количество образцов [404290, 100000]

0 голосов
/ 20 апреля 2020

X.shape = (5000, 15)
y.shape = (5000,) 

X_train_tf,X_test_tf, y_train_tf, y_test_tf = train_test_split(final,duplicate, stratify=y_true, test_size=0.3,random_state=13)

Ошибка: 

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-117-3e272bbb265d> in <module>
----> 1 X_train_tf,X_test_tf, y_train_tf, y_test_tf = train_test_split(final,duplicate, stratify=y_true, test_size=0.3,random_state=13)

D:\Anaconda\lib\site-packages\sklearn\model_selection\_split.py in train_test_split(*arrays, **options)
   2141                      random_state=random_state)
   2142 
-> 2143         train, test = next(cv.split(X=arrays[0], y=stratify))
   2144 
   2145     return list(chain.from_iterable((_safe_indexing(a, train),

D:\Anaconda\lib\site-packages\sklearn\model_selection\_split.py in split(self, X, y, groups)
   1326         to an integer.
   1327         """
-> 1328         X, y, groups = indexable(X, y, groups)
   1329         for train, test in self._iter_indices(X, y, groups):
   1330             yield train, test

D:\Anaconda\lib\site-packages\sklearn\utils\validation.py in indexable(*iterables)
    246     """
    247     result = [_make_indexable(X) for X in iterables]
--> 248     check_consistent_length(*result)
    249     return result
    250 

D:\Anaconda\lib\site-packages\sklearn\utils\validation.py in check_consistent_length(*arrays)
    210     if len(uniques) > 1:
    211         raise ValueError("Found input variables with inconsistent numbers of"
--> 212                          " samples: %r" % [int(l) for l in lengths])
    213 
    214 

ValueError: Found input variables with inconsistent numbers of samples: [404290, 100000]
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