tslearn.utils.to_seglearn_dataset¶
- tslearn.utils.to_seglearn_dataset(X)[source]¶
Transform a tslearn-compatible dataset into a seglearn dataset.
- Parameters:
- X: array, shape = (n_ts, sz, d)
tslearn-formatted dataset to be cast to seglearn format
- Returns:
- array of arrays, shape=(n_ts, )
seglearn-formatted dataset. i-th sub-array in the list has shape (sz_i, d)
Examples
>>> tslearn_arr = numpy.random.randn(10, 16, 1) >>> seglearn_arr = to_seglearn_dataset(tslearn_arr) >>> seglearn_arr.shape (10, 16, 1) >>> tslearn_arr = numpy.random.randn(10, 16, 2) >>> seglearn_arr = to_seglearn_dataset(tslearn_arr) >>> seglearn_arr.shape (10, 16, 2) >>> tslearn_arr = [numpy.random.randn(16, 2), numpy.random.randn(10, 2)] >>> seglearn_arr = to_seglearn_dataset(tslearn_arr) >>> seglearn_arr.shape (2,) >>> seglearn_arr[0].shape (16, 2) >>> seglearn_arr[1].shape (10, 2)