def closest(self, vector, n=10, metric="cosine"):
        """Returns the closest n words to a vector

        Parameters
        -------
        vector : numpy.array
        n : int (default 10)

        Returns
        -------
        Tuple of 2 numpy.array:
            1. position in self.vocab
            2. cosine similarity
        """
        distances = distance(self.vectors, vector, metric=metric)
        best = np.argsort(distances)[::-1][1:n + 1]
        best_metrics = distances[best]
        return best, best_metrics
Returns the closest n words to a vector

        Parameters
        -------
        vector : numpy.array
        n : int (default 10)

        Returns
        -------
        Tuple of 2 numpy.array:
            1. position in self.vocab
            2. cosine similarity