code: def get_logistic_regression_coefs_l2(self, category,
                                           clf=RidgeClassifierCV()):
          ''' Computes l2-penalized logistic regression score.
          Parameters
          ----------
          category : str
              category name to score
  
          category : str
              category name to score
          Returns
          -------
              (coefficient array, accuracy, majority class baseline accuracy)
          '''
          try:
              from sklearn.cross_validation import cross_val_predict
          except:
              from sklearn.model_selection import cross_val_predict
          y = self._get_mask_from_category(category)
          X = TfidfTransformer().fit_transform(self._X)
          clf.fit(X, y)
          y_hat = cross_val_predict(clf, X, y)
          acc, baseline = self._get_accuracy_and_baseline_accuracy(y, y_hat)
          return clf.coef_[0], acc, baselinf get_logistic_regression_coefs_l2(self, category,
                                           clf=RidgeClassifierCV()):
          ''' Computes l2-penalized logistic regression score.
          Parameters
          ----------
          category : str
              category name to score
  
          category : str
              category name to score
          Returns
          -------
              (coefficient array, accuracy, majority class baseline accuracy)
          '''
          try:
              from sklearn.cross_validation import cross_val_predict
          except:
              from sklearn.model_selection import cross_val_predict
          y = self._get_mask_from_category(category)
          X = TfidfTransformer().fit_transform(self._X)
          clf.fit(X, y)
          y_hat = cross_val_predict(clf, X, y)
          acc, baseline = self._get_accuracy_and_baseline_accuracy(y, y_hat)
          return clf.coef_[0], acc, baseline
docs: Computes l2-penalized logistic regression score.
          Parameters
          ----------
          category : str
              category name to score
  
          category : str
              category name to score
          Returns
          -------
              (coefficient array, accuracy, majority class baseline accuracy)