octave-forge-nan
A statistics and machine learning toolbox for data with and w/o missing values.
This is part of Octave-Forge project.
- Developed at science
- Sources inherited from project openSUSE:Factory
-
1
derived packages
- Download package
-
Checkout Package
osc -A https://api.opensuse.org checkout openSUSE:Factory:zSystems/octave-forge-nan && cd $_
- Create Badge
Refresh
Refresh
Source Files
Filename | Size | Changed |
---|---|---|
fix_missing_return.patch | 0000000402 402 Bytes | |
nan-3.4.3.tar.gz | 0000247497 242 KB | |
octave-forge-nan.changes | 0000004111 4.01 KB | |
octave-forge-nan.spec | 0000001790 1.75 KB |
Revision 8 (latest revision is 15)
Dominique Leuenberger (dimstar_suse)
accepted
request 751373
from
Stefan Brüns (StefanBruens)
(revision 8)
- Update to version 3.4.3: + Makefile.* Add missing copyright/licenses + liblinear, libsvm: add license from original author + roc.m: number of data points limited to about 5000 add final data point at (1,1). - Update to version 3.4.0: + quadratic classifiers: check for positive-definiteness of covariance matrix and return no classification (encoded as NaN), if not. + mad, meandev: make sure source is ascii/utf-8 compliant - Update to version 3.3.0: + detrend: the 2nd output (trend) can be interpolated and should not contain NaNs. + train_sc: some supported classifiers should not be used with the short-cut for two-class problems. + xval: report also results w/o crossvaliation + ecdf: fix ylim in case data contains missing values. - Update to version 3.2.3: + <NEW> ROC is included. ROC is derived from the implementation in "biosig for octave and matlab" biosig-code/biosig4matlab/t490_EvaluationCriteria/ https://sourceforge.net/p/biosig/code/ci/master/tree/biosig4matlab/t490_EvaluationCriteria/ + <NEW> load_cifar100 load_cifar10 load_mnist: loading of various machine-learning databases + <NEW> kolmogorov_smirnov: Multiple two-sample Kolmogorov-Smirnov test + <NEW> kstest2: wrapper for kolmogorov_smirnov + requires Octave 3.8 or later + histo2, histo3: bug fix for case when whole column contains NaNs + <NEW> inst/signrank.m: add Wilcoxon signred rank test Unlike Octave's wilcoxon_test, this works also for sample sizes smaller than N=25 + corrcoef: improve documentation on one- and two- pass algorithm + histogram functions (histo.m) included + upgrade to liblinear 2.2.1 weightening of samples not supported anymore + upgrade to libsvm 3.2.3 weightening of samples not supported anymore + minor changes - Fix missing return value for non-void function, add fix_missing_return.patch
Comments 0