skmultilearn MLkNN报错：TypeError: NearestNeighbors.init() takes 1 positional argument but 2 were g

AsukaMinato_

已于 2024-10-24 15:55:08 修改

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文章标签：人工智能机器学习深度学习 1024程序员节

于 2023-07-12 22:07:01 首次发布

本文链接：https://blog.youkuaiyun.com/m0_52137547/article/details/131691438

版权

from skmultilearn.dataset import load_dataset
from skmultilearn.adapt import MLkNN
from sklearn.model_selection import GridSearchCV

X_train, Y_train, feature_names, label_names = load_dataset('emotions', 'train')
X_test, Y_test, _, _ = load_dataset('emotions', 'test')

print('X_train       is {}'.format(X_train.shape))
print('Y_train       is {}'.format(Y_train.shape))
parameters = {'k':range(1,3), 's':[0.5, 0.7, 1.0]}
clf = GridSearchCV(MLkNN(), parameters, scoring='f1_macro')
clf.fit(X_train,Y_train)
print(clf.best_params_, clf.best_score_)

报错：

emotions:train - does not exists downloading

Downloaded emotions-train

emotions:test - does not exists downloading

Downloaded emotions-test

X_train is (391, 72)

Y_train is (391, 6)

Traceback (most recent call last):

File "f:\5_UbiChain\Script\scikitMultilearn.py", line 12, in <module>

clf.fit(X_train,Y_train)

File "H:\Anaconda\lib\site-packages\sklearn\model_selection\_search.py", line 874, in fit

self._run_search(evaluate_candidates)

File "H:\Anaconda\lib\site-packages\sklearn\model_selection\_search.py", line 1388, in _run_search

evaluate_candidates(ParameterGrid(self.param_grid))

File "H:\Anaconda\lib\site-packages\sklearn\model_selection\_search.py", line 851, in evaluate_candidates

_warn_or_raise_about_fit_failures(out, self.error_score)

File "H:\Anaconda\lib\site-packages\sklearn\model_selection\_validation.py", line 367, in _warn_or_raise_about_fit_failures

raise ValueError(all_fits_failed_message)

ValueError:

All the 30 fits failed.

It is very likely that your model is misconfigured.

You can try to debug the error by setting error_score='raise'.

Below are more details about the failures:

--------------------------------------------------------------------------------

30 fits failed with the following error:

Traceback (most recent call last):

File "H:\Anaconda\lib\site-packages\sklearn\model_selection\_validation.py", line 686, in _fit_and_score

estimator.fit(X_train, y_train, **fit_params)

File "H:\Anaconda\lib\site-packages\skmultilearn\adapt\mlknn.py", line 218, in fit

self._cond_prob_true, self._cond_prob_false = self._compute_cond(X, self._label_cache)

File "H:\Anaconda\lib\site-packages\skmultilearn\adapt\mlknn.py", line 165, in _compute_cond

self.knn_ = NearestNeighbors(self.k).fit(X)

TypeError: NearestNeighbors.__init__() takes 1 positional argument but 2 were given