original_docstring: 
          train  the classifier with the train set.
          :param X_train: The features' edge- norm (train set).
          :param Y_train: The edges labels- 0 for true, 1 for false (train set).
          :return: The classifier
          
docstring: train  the classifier with the train set.
docstring_tokens: train the classifier with the train set .
code: def train_edge_classification(X_train, Y_train):
          """
          train  the classifier with the train set.
          :param X_train: The features' edge- norm (train set).
          :param Y_train: The edges labels- 0 for true, 1 for false (train set).
          :return: The classifier
          """
          classif2 = TopKRanker(LogisticRegression())
          classif2.fit(X_train, Y_train)
          return classif2
code_tokens: def train_edge_classification ( X_train , Y_train ) : classif2 = TopKRanker ( LogisticRegression ( ) ) classif2 . fit ( X_train , Y_train ) return classif2
short_docstring: train  the classifier with the train set.
short_docstring_tokens: train the classifier with the train set .
comment: """
          train  the classifier with the train set.
          :param X_train: The features' edge- norm (train set).
          :param Y_train: The edges labels- 0 for true, 1 for false (train set).
          :return: The classifier
          """