«AssertionError:», когда я использую полиномиальную Logisti c Regresion - PullRequest
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«AssertionError:», когда я использую полиномиальную Logisti c Regresion

0 голосов
/ 09 января 2020

Вот мой код: 

from sklearn.preprocessing import PolynomialFeatures
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import roc_curve,auc,accuracy_score, precision_score, recall_score, f1_score,confusion_matrix
from keras.utils import to_categorical

def lgtcmodelquadratic(X_train,Y_train,X_test,Y_test):
    quadratic_featurizer = PolynomialFeatures(degree=2)
    X_train_quadratic = quadratic_featurizer.fit_transform(X_train)
    model = LogisticRegression(penalty='none',solver = 'saga')
    model.fit(X_train_quadratic,Y_train)
    X_test_quadratic = quadratic_featurizer.fit_transform(X_test)
    Y_pred = model.predict(X_test_quadratic)

    accu=accuracy_score(Y_test, Y_pred)
    p=precision_score(Y_test, Y_pred,pos_label='1',average='weighted')
    r=recall_score(Y_test, Y_pred,pos_label='1',average='weighted')
    f1=f1_score(Y_test, Y_pred,pos_label='1',average='weighted')  
    results = [accu, p, r, f1]
    print('The model evaluate(accu,pre,recall,f1) of Polynomial LogisticRegression Model is: \n',results)
    return results

Мои данные - векторы TF-IDF, форма которых раздельно (20460, 231717) 、 (5116, 231717) 、 (20460,) 、 (5116,)

Потом я встретился с ошибкой AssertionEr: 

---------------------------------------------------------------------------
AssertionError                            Traceback (most recent call last)
<ipython-input-98-d19f03adac92> in <module>
----> 1 lgtcmodelquadratic(X_train,Y_train,X_test,Y_test)

<ipython-input-97-ee7d01e08836> in lgtcmodelquadratic(X_train, Y_train, X_test, Y_test)
      2 def lgtcmodelquadratic(X_train,Y_train,X_test,Y_test):
      3     quadratic_featurizer = PolynomialFeatures(degree=2)
----> 4     X_train_quadratic = quadratic_featurizer.fit_transform(X_train)
      5     model = LogisticRegression(penalty='none',solver = 'saga')
      6     model.fit(X_train_quadratic,Y_train)

D:\anaconda3\lib\site-packages\sklearn\base.py in fit_transform(self, X, y, **fit_params)
    551         if y is None:
    552             # fit method of arity 1 (unsupervised transformation)
--> 553             return self.fit(X, **fit_params).transform(X)
    554         else:
    555             # fit method of arity 2 (supervised transformation)

D:\anaconda3\lib\site-packages\sklearn\preprocessing\data.py in transform(self, X)
   1519                                                     X.indptr, X.shape[1],
   1520                                                     self.interaction_only,
-> 1521                                                     deg)
   1522                 if Xp_next is None:
   1523                     break

sklearn\preprocessing\_csr_polynomial_expansion.pyx in sklearn.preprocessing._csr_polynomial_expansion._csr_polynomial_expansion()

AssertionError:

Я не могу найти какие-либо способы исправить это. Это моя огромная форма данных, которая привела к этой ситуации? или могут быть какие-то другие причины? Искренне обращаюсь за помощью.

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