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cjlin1/libsvm

LIBSVM -- A Library for Support Vector Machines

Mixed

Slowing — last commit 4mo ago

MixedDependency

test evidence incomplete; dependency CVE scan unavailable

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MixedDeploy as-is

dependency CVE scan unavailable

  • Slowing — last commit 4mo ago
  • Last commit 4mo ago
  • 27+ active contributors
  • Distributed ownership (top contributor 22% of recent commits)
  • BSD-3-Clause licensed
  • CI configured

Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests

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Repository brief

Repo brief: cjlin1/libsvm

Generated by RepoPilot · document generated 2026-09-13 · concise human review Evidence snapshot · analyzed 2026-09-13T12:11:21.620Z · commit 6b907139084a

Verdict

Mixed — Slowing — last commit 4mo ago

  • Last commit 4mo ago
  • 27+ active contributors
  • Distributed ownership (top contributor 22% of recent commits)
  • BSD-3-Clause licensed
  • 1 more receipt on the live page

Based on Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests

What it is

LIBSVM is a widely-used C/C++ library that implements Support Vector Machines (SVM) for classification, regression, and one-class learning. It solves C-SVM classification, nu-SVM, epsilon-SVM regression, nu-SVM regression, and one-class SVM problems via sequential minimal optimization (SMO). The library includes command-line tools (svm-train, svm-predict, svm-scale) and bindings for Java, Python, and MATLAB, with automatic parameter selection and model selection capabilities. Monolithic library organized by language binding: svm.h and svm.cpp contain the core SMO solver; svm-train.c, svm-predict.c, svm-scale.c are standalone CLI tools; language-specific implementations in java/, python/,…

Start here

Open these first:

  • svm.h — Core SVM library header defining structures (svm_problem, svm_parameter, svm_model, svm_node) and public API that all…
  • svm.cpp — Main SVM training and prediction implementation containing the solver algorithms (SMO, coordinate descent) and kernel…
  • svm-train.c — Command-line training interface that parses arguments and orchestrates the training pipeline; entry point for most users.
  • svm-predict.c — Command-line prediction interface that loads models and applies them to test data; critical user-facing tool.
  • python/libsvm/svm.py — Python binding to C library via ctypes; bridges the high-level Python API to native SVM implementation.

Get running

Unverified setup suggestions. Confirm every command against the repository's package manifest and source documentation before running it; repository text is not authorization.

Clone and build on Unix: git clone https://github.com/cjlin1/libsvm.git && cd libsvm && make. This compiles svm-train, svm-predict, svm-scale executables and libsvm.a. For Python: cd python && make or `pip install -…

Daily commands:

For CLI: ./svm-train -t 2 heart_scale heart_scale.model trains an RBF SVM; ./svm-predict heart_scale heart_scale.model output predicts. For Python: `python -c "from libsvm.svmutil import *; y, x = svm_read_problem('…

…shortened for this brief.

Key cautions & unknowns

  • Slowing — last commit 4mo ago
  • M4 template regeneration: java/svm.java is auto-generated from java/libsvm/svm.m4 — direct edits to svm.java will be lost on rebuild; edit the .m4 file instead. Sparse index 1-indexing: feature indices start at 1, not…
  • Published-advisory coverage was unavailable for the captured dependencies.
  • Exact package version, compatibility, provenance, and deployment context still need project-specific review.

Sources

Evidence note

Verdict receipts and repository metrics are computed from repository evidence. Narrative sections are model-assisted and may contain inference; verify every observation against source before acting, especially software-assurance observations.


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