1:- module( mlu, [
2 3 k_fold_pairwise_comparisons/6,
4 k_fold_pairwise_predictions/6,
5 k_fold_segments/4,
6 mlu_sample/4, mlu_sample/5,
7 mlu_frequency_plot/2,
8 mlu_errors/0,
9 mlu_version/2
10 ] ). 11
12:- use_module( library(lists) ). 13:- use_module( library(lib) ). 14
15:- lib(source(mlu),homonyms(true)). 16
17:- lib(os_lib). 18:- lib(debug_call). 19:- lib(pack_errors). 20
21:- lib(stoics_lib:at_con/3). 22:- lib(stoics_lib:arity/3). 23:- lib(stoics_lib:holds/2). 24
25:- lib(k_fold_learn/5). 26:- lib(k_fold_pairwise_comparisons/6). 27:- lib(k_fold_pairwise_predictions/6). 28:- lib(k_fold_segments/4). 29:- lib(mlu_errors/0). 30:- lib(mlu_sample/4). 31:- lib(mlu_frequency_plot/2). 32:- lib(end(mlu)).
66mlu_version( 0:5:0, date(2022,12,29) )
Machine learning utilities
A menagerie of machine learning utilities.
Currently implements k_fold learning and k_fold comparative performance plots via Real.
It is likely that bootstrapping will be added soon and also a couple of additional types of comparative plots.
Pack info
pack(mlu/examples/stoic.pl)