rasa_nlu/classifiers/sklearn_intent_classifier.py
def predict_prob(self, X):
        # type: (np.ndarray) -> np.ndarray
        """Given a bow vector of an input text, predict the intent label.

        Return probabilities for all labels.

        :param X: bow of input text
        :return: vector of probabilities containing one entry for each label"""

        return self.clf.predict_proba(X)
Given a bow vector of an input text, predict the intent label.

        Return probabilities for all labels.

        :param X: bow of input text
        :return: vector of probabilities containing one entry for each label
Given a bow vector of an input text, predict the intent label.
Return probabilities for all labels.
Given a bow vector of an input text predict the intent label . Return probabilities for all labels .
def predict_prob(self, X):
        return self.clf.predict_proba(X)
def predict_prob ( self , X ) : return self . clf . predict_proba ( X )
Given a bow vector of an input text, predict the intent label.
Given a bow vector of an input text predict the intent label .
# type: (np.ndarray) -> np.ndarray """Given a bow vector of an input text, predict the intent label.

        Return probabilities for all labels.

        :param X: bow of input text
        :return: vector of probabilities containing one entry for each label"""
vector of probabilities containing one entry for each label
vector of probabilities containing one entry for each label
self
X
bow of input text
bow of input text