7fe99a818f297f195ff6000d4a6ffecc6e7db774,tslearn/docs/examples/metrics/plot_dtw.py,,,#,32

Before Change

numpy.random.seed(0)
n_ts, sz, d = 2, 100, 1
dataset = random_walks(n_ts=n_ts, sz=sz, d=d)
scaler = TimeSeriesScalerMeanVariance(mu=0., std=1.)  // Rescale time series
dataset_scaled = scaler.fit_transform(dataset)

path, sim = metrics.dtw_path(dataset_scaled[0], dataset_scaled[1])

After Change

     -0.815, -0.823, -0.821])

s_y1 = numpy.concatenate((s_x, s_x)).reshape((-1, 1))
s_y2 = numpy.concatenate((s_x, s_x[::-1])).reshape((-1, 1))
sz = s_y1.shape[0]

path, sim = metrics.dtw_path(s_y1, s_y2)

Instances