2bae518e899657e536572fa59df6e1587795e397,librosa/feature.py,,line_features,#,332

Before Change

    intercept = np.zeros((1, K))

    for k in range(0, K):
        p = np.polyfit(freq, S[:, k], order)
        slope[:, k] = p[0]
        intercept[:, k] = p[1]

    return (slope, intercept)

// - End Features added by BWalburn

After Change

    if freq.ndim == 1:
        coefficients = np.polyfit(freq, S, order)
    else:
        coefficients = np.concatenate([[np.polyfit(freq_t, S_t, order)]
                                       for (freq_t, S_t) in zip(freq.T, S.T)],
                                      axis=0).T

    return coefficients

// - End Features added by BWalburn

Instances