tslearn.utils.to_seglearn_dataset

tslearn.utils.to_seglearn_dataset(X)

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)