libocas
0.96Efficient training of SVM classifiers
libocas implements an Optimized Cutting Plane Algorithm (OCAS) for training linear SVM classifiers from large-scale data. The computational effort of OCAS scales with O(m log m) where m is the sample size. In an extensive empirical evaluation, OCAS significantly outperforms current state-of-the-art SVM solvers. libocas also implements the COFFIN framework for efficient training of translation invariant image classifiers from virtual examples.
Origin: math/libocas
Category: math
Size: 218KiB
License: GPLv3
Maintainer: ports@FreeBSD.org
Dependencies: 0 packages
Required by: 0 packages
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pkg install libocasMore in math
py311-numpy1.26.4_11,1
The New Numeric Extension to PythonR4.5.2
Language for statistical computing and graphicsgmp6.3.0
Free library for arbitrary precision arithmeticopenblas0.3.30,2
Optimized BLAS library based on GotoBLAS2fftw33.3.10_5
Fast C routines to compute the Discrete Fourier Transformpy311-matplotlib3.8.0_2
Plotting library uses a syntax familiar to MATLAB userspy311-pandas2.3.3,1
Flexible, high-performance data analysis in Pythonmpfr4.2.2,1
Library for multiple-precision floating-point computationsoctave10.3.0_2
High-level interactive language for numerical computationsoctave-forge-base1.9_1
Octave-forge baseport for all packages