2 |
Pyndl: Naive discriminative learning in python ...
|
|
|
|
Abstract:
adds Widrow-Hof learning on Linux (real_to_real, real_to_binary, binary_to_real) adds fast correlation code drop python 3.6 support and add python 3.9 support changes API from number_of_threads / number_of_processes to n_jobs exposes make_data_array as ndl.data_array(...) and adds tests adds learning events from generators in ndl.ndl changes tuples into namedtuples for return values adds sanity check for too many cues or outcomes checks if outcomes_vectors, cue_vectors and weights are c_contiguous before passing it to cython functions adds scipy, packaging as dependencies Co-authored-by: Elnaz Shafaei elnaz.shafaei@gmail.com and Marc Weitz marc.weitz@onlinehome.de ...
|
|
Keyword:
cognitive science; linguistics; machine learning; naive discriminative learning; python
|
|
URL: https://dx.doi.org/10.5281/zenodo.597964 https://zenodo.org/record/597964
|
|
BASE
|
|
Hide details
|
|
|
|