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Algorithm-Classifier-IsolationForest-0.2.0

Changes for version 0.2.0 - 2026-06-30

  • C acceleration via Inline::C for core fit and predict ops
  • OpenMP support for parallel multi-threaded fitting and predict ops
  • SIMD (AVX/SSE) acceleration where available
  • Data packing support for compact model storage (new `pack` CLI command)
  • Parallel fit capability
  • New `score_predict_split` method
  • New `accel` CLI command for querying available acceleration flags
  • New `bench` CLI command for running built-in benchmarks
  • New `info` CLI command with expanded model introspection
  • Benchmarking scripts covering fit, predict, scoring, and accel modes
  • Tests: accel flag detection, accel selection, undef column handling, data packing, parallel fit, sklearn comparison (including undef), and CLI
  • minor tweaks to `csv2plot` for a bit nicer rendering
  • minor POD fixes

Documentation

README.md

Modules

Algorithm::Classifier::IsolationForest
unsupervised anomaly detection via Isolation Forest or Extended Isolation Forest

Provides

Algorithm::Classifier::IsolationForest::App
in lib/Algorithm/Classifier/IsolationForest/App.pm
Algorithm::Classifier::IsolationForest::App::Command
in lib/Algorithm/Classifier/IsolationForest/App/Command.pm
Algorithm::Classifier::IsolationForest::App::Command::fit
in lib/Algorithm/Classifier/IsolationForest/App/Command/fit.pm
Algorithm::Classifier::IsolationForest::App::Command::gblob
in lib/Algorithm/Classifier/IsolationForest/App/Command/gblob.pm
Algorithm::Classifier::IsolationForest::App::Command::predict
in lib/Algorithm/Classifier/IsolationForest/App/Command/predict.pm
Algorithm::Classifier::IsolationForest::PackedData
in lib/Algorithm/Classifier/IsolationForest.pm

Examples

Other files