msaf/features.py
def compute_features(self):
        """Actual implementation of the features.

        Returns
        -------
        tempogram: np.array(N, F)
            The features, each row representing a feature vector for a give
            time frame/beat.
        """
        return librosa.feature.tempogram(self._audio, sr=self.sr,
                                         hop_length=self.hop_length,
                                         win_length=self.win_length).T
def compute_features(self):
        """Actual implementation of the features.

        Returns
        -------
        tempogram: np.array(N, F)
            The features, each row representing a feature vector for a give
            time frame/beat.
        """
        return librosa.feature.tempogram(self._audio, sr=self.sr,
                                         hop_length=self.hop_length,
                                         win_length=self.win_length).T
def compute_features ( self ) : return librosa . feature . tempogram ( self . _audio , sr = self . sr , hop_length = self . hop_length , win_length = self . win_length ) . T
Actual implementation of the features.

        Returns
        -------
        tempogram: np.array(N, F)
            The features, each row representing a feature vector for a give
            time frame/beat.
Actual implementation of the features .