Thanks for sharing this work.
Is there any multivariate support? when Try to augment my data ( w/ shape (samples, length, n_features) ) I see the library is passing (samples, n_features) to dist_fun which results in this error
aaltd18/dba.py in calculate_dist_matrix(tseries, dist_fun, dist_fun_params)
10 for j in range(i+1,N):
11 y = tseries[j]
---> 12 dist = dist_fun(x,y,**dist_fun_params)[0]
13 # because dtw returns the sqrt
14 dist = dist*dist
dtw.pyx in dtw.dynamic_time_warping()
ValueError: Buffer has wrong number of dimensions (expected 2, got 1)
what is the correct input type? (x and y both having shape (1,)
Thanks for sharing this work.
Is there any multivariate support? when Try to augment my data ( w/ shape (samples, length, n_features) ) I see the library is passing (samples, n_features) to
dist_funwhich results in this errorwhat is the correct input type? (x and y both having shape (1,)