Defines random numbers generator objects:
Returns a generator yielding random triplets.
Parameters: |
|
---|---|
Returns: | Random triplets generator. |
Return type: | generator |
Notes
The doctest is assuming that np.random.RandomState() definition will return the same sequence no matter which OS or Python version is used. There is however no formal promise about the prng sequence reproducibility of either Python or *Numpy implementations: Laurent. (2012). Reproducibility of python pseudo-random numbers across systems and versions? Retrieved January 20, 2015, from http://stackoverflow.com/questions/8786084/reproducibility-of-python-pseudo-random-numbers-across-systems-and-versions
Examples
>>> from pprint import pprint
>>> prng = np.random.RandomState(4)
>>> pprint(
... tuple(random_triplet_generator(10, random_state=prng)))
(array([ 0.9670298..., 0.5472322..., 0.9726843...]),
array([ 0.7148159..., 0.6977288..., 0.2160895...]),
array([ 0.9762744..., 0.0062302..., 0.2529823...]),
array([ 0.4347915..., 0.7793829..., 0.1976850...]),
array([ 0.8629932..., 0.9834006..., 0.1638422...]),
array([ 0.5973339..., 0.0089861..., 0.3865712...]),
array([ 0.0441600..., 0.9566529..., 0.4361466...]),
array([ 0.9489773..., 0.7863059..., 0.8662893...]),
array([ 0.1731654..., 0.0749485..., 0.6007427...]),
array([ 0.1679721..., 0.7333801..., 0.4084438...]))