class_docstr: Simple voting classifier which takes fitted estimators as
  input and applies voting ensembling at predict time. Similar to
  `sklearn.enseble.VotingClassifier` except the VotingClassifier
  will actually fit the child estimators, where the SimpleVoter
  will take fitted estimators at instantiation and apply similar
  prediction functions as predict time.
  
  The VotingClassifier implements a dummy fit method that does nothing
  unless the class attributes `estimators` or `classes` have been
  manually updated.
  
  The value add over `sklearn.enseble.VotingClassifier` is that
  SimpleVoter can solely run the predict, and let the fit live elsewhere.
  
  Args:
      estimators (list of tuples): list of fitted (name, estimator)
          tuples for voting
      classes (array-like): list of class names from one
          of the underlying estimators
      voting (str): voting method ('hard' or 'soft')
      weights (array-like): array of weights corresponding
          to each estimator
class_docstr_tok: ["Simple","voting","classifier","which","takes","fitted","estimators","as","input","and","applies","voting","ensembling","at","predict","time",".","Similar","to","`","sklearn.enseble.VotingClassifier","`","except","the","VotingClassifier","will","actually","fit","the","child","estimators",",","where","the","SimpleVoter","will","take","fitted","estimators","at","instantiation","and","apply","similar","prediction","functions","as","predict","time",".","The","VotingClassifier","implements","a","dummy","fit","method","that","does","nothing","unless","the","class","attributes","`","estimators","`","or","`","classes","`","have","been","manually","updated",".","The","value","add","over","`","sklearn.enseble.VotingClassifier","`","is","that","SimpleVoter","can","solely","run","the","predict",",","and","let","the","fit","live","elsewhere",".","Args",":","estimators","(","list","of","tuples",")",":","list","of","fitted","(","name",",","estimator",")","tuples","for","voting","classes","(","array-like",")",":","list","of","class","names","from","one","of","the","underlying","estimators","voting","(","str",")",":","voting","method","(","'hard","'","or","'soft","'",")","weights","(","array-like",")",":","array","of","weights","corresponding","to","each","estimator"]
docstr: Collect results from clf.predict calls 
docstr_tok: ["Collect","results","from","clf.predict","calls"]
code: def _predict(self, X):
      "" "Collect results from clf.predict calls " ""
      return np.asarray(
          [
              self.le_.transform(clf.predict(X))
              for clf in self.estimators_
          ]
      ).T
  
file_path: sk-dist/skdist/postprocessing.py
imports: import numpy
  from sklearn.base import BaseEstimator, ClassifierMixin
  from sklearn.preprocessing import LabelEncoder
  from sklearn.utils import Bunch
  from .distribute.validation import _check_is_fitted
label_desc: Use image node_id 7 for calling the SimpleVoter obj's underlying member method code with example usage: obj._predict(X) and returns: np