comparison curve_fitting.py @ 5:e0af18405e37 draft

planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/curve_fitting/ commit cd63bc5e6eb7254111012209fac9154569355f20

4:004c57179c61

    diff = np.array([], dtype=('float64'))
    for i in range(nSpots):
        seq = data_all[i][:, -1]
        seq_fit = seq.copy()
        idx_valid = ~np.isnan(seq)
        seq_fit[idx_valid] = curve_fitting(seq[idx_valid], degree=2, penalty='abs')
        data_all[i] = np.concatenate((data_all[i], seq_fit.reshape(-1, 1)), axis=1)
        if alpha > 0:
            diff = np.concatenate((diff, seq_fit[idx_valid] - seq[idx_valid]))

    # add assistive curve

5:e0af18405e37

    diff = np.array([], dtype=('float64'))
    for i in range(nSpots):
        seq = data_all[i][:, -1]
        seq_fit = seq.copy()
        idx_valid = ~np.isnan(seq)
        seq_fit[idx_valid] = curve_fitting(seq[idx_valid], degree=degree, penalty=penalty)
        data_all[i] = np.concatenate((data_all[i], seq_fit.reshape(-1, 1)), axis=1)
        if alpha > 0:
            diff = np.concatenate((diff, seq_fit[idx_valid] - seq[idx_valid]))

    # add assistive curve