f5810cd6963db4cd3af81364591a880b1fa9b706,librosa/decompose.py,,decompose,#,13

Before Change

    if transformer is None:
        transformer = sklearn.decomposition.NMF(n_components=n_components)

    activations = transformer.fit_transform(S.T)

    return (transformer.components_.T, activations.T)

def hpss(S, kernel_size=31, power=2.0, mask=False):

After Change

    if transformer is None:
        transformer = sklearn.decomposition.NMF(n_components=n_components)

    activations = transformer.fit_transform(S.T).T

    components = transformer.components_.T

    if sort:
        components, idx = librosa.util.axis_sort(components, index=True)
        activations = activations[idx]

    return components, activations

Instances