def activeInitialFeatures(self, s):
        bs = self.binState(s)
        shifts = np.hstack((0, np.cumsum(self.bins_per_dim)[:-1]))
        index = bs + shifts
        return index.astype('uint32')
Returns the index of active initial features based on bins in each
dataset/ETHPy150Open rlpy/rlpy/rlpy/Representations/Representation.py/Representation.activeInitialFeatures