CVS log for pkgsrc/math/libsvm/distinfo

Up to [cvs.NetBSD.org] / pkgsrc / math / libsvm

Request diff between arbitrary revisions

Keyword substitution: kv
Default branch: MAIN

math: Replace RMD160 checksums with BLAKE2s checksums

All checksums have been double-checked against existing RMD160 and
SHA512 hashes

math: Remove SHA1 hashes for distfiles

libsvm: Update to 3.24

3.24: 2019/9/11
      fix compiling issues in matlab/Makefile: use mex only rather than build some .o files separately
      python interface:
            use array for reading data in python/commonutil.py to lower the memory usage
            fix a bug in python/commonutil.py for reading pre-computed kernel
      minor improvements and bug fixes

3.23: 2018/7/15
      add more digits of predicted file, model file, scaled data and data from matlab libsvmwrite: to %.17g
      revise svm-scale.c so features in test data that do not appear in training data are scaled to zero.
      remove unnecessary tab or space in all files
      python interface:
            add Scipy support
	    add scaling (csr_find_scale_param and csr_scale functions)
	    put some utility functions identical in LIBLINEAR to commonutil.py.
	    functions for scaling are put in commonutil.py.
	    sort column indices of csr matrix before training as feature indices must be ascending
      convert Qt version of svm-toy from Qt4 to Qt5
      remove gtk svm-toy because we stop maintaining this tool
      minor improvement of descriptions in README

3.22: 2016/12/22
      probability output:
             if 2 classes, directly output the predited probabilities
	     rather than run the iterative algorithms for multi-class situations

3.21: 2015/12/14
      pre-built windows exe files changed from 32 to 64 bit
      matlab interface:
             now use #include "../svm.h"
             fix some minor issues in make.m of matlab interface

Add SHA512 digests for distfiles for math category

Problems found locating distfiles:
	Package dfftpack: missing distfile dfftpack-20001209.tar.gz
	Package eispack: missing distfile eispack-20001130.tar.gz
	Package fftpack: missing distfile fftpack-20001130.tar.gz
	Package linpack: missing distfile linpack-20010510.tar.gz
	Package minpack: missing distfile minpack-20001130.tar.gz
	Package odepack: missing distfile odepack-20001130.tar.gz
	Package py-networkx: missing distfile networkx-1.10.tar.gz
	Package py-sympy: missing distfile sympy-0.7.6.1.tar.gz
	Package quadpack: missing distfile quadpack-20001130.tar.gz

Otherwise, existing SHA1 digests verified and found to be the same on
the machine holding the existing distfiles (morden).  All existing
SHA1 digests retained for now as an audit trail.

Needs gmake to process Makefile correctly. Likely fixes build on Darwin.
Light cleanup of pkgsrc Makefile.

From website:
Version 3.20 released on November 15, 2014. It conducts some minor fixes.

Import libsvm-3.18 as math/libsvm.

LIBSVM is an integrated software for support vector classification, (C-SVC, nu-
SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class
SVM). It supports multi-class classification.