Overview

Request 751313 accepted

- 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:
+ 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/
+ load_cifar100 load_cifar10 load_mnist:
loading of various machine-learning databases
+ kolmogorov_smirnov:
Multiple two-sample Kolmogorov-Smirnov test
+ kstest2:
wrapper for kolmogorov_smirnov
+ requires Octave 3.8 or later
+ histo2, histo3:
bug fix for case when whole column contains NaNs
+ 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

Request History
Stefan Brüns's avatar

StefanBruens created request

- 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:
+ 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/
+ load_cifar100 load_cifar10 load_mnist:
loading of various machine-learning databases
+ kolmogorov_smirnov:
Multiple two-sample Kolmogorov-Smirnov test
+ kstest2:
wrapper for kolmogorov_smirnov
+ requires Octave 3.8 or later
+ histo2, histo3:
bug fix for case when whole column contains NaNs
+ 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


Stefan Brüns's avatar

StefanBruens accepted request

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