Revision history for Algorithm-Classifier-IsolationForest

0.3.0   2026-07-02/23:00
        - lots of POD fixes/cleanup
		- various further C optmizations
        - fit() can now handle training data with missing (undef) feature
          cells, selectable via the new `missing =>` constructor option:
            die    :: croak on undef in the training data (default)
            zero   :: treat a missing cell as the value 0
            impute :: fill with the per-feature mean/median (see `impute_with`)
            nan    :: range over present values and route missing rows to the
                      right child, consistently at fit and score time
        - new `impute_with => 'mean'|'median'` option for impute mode ...
          missing strategy + impute fill vector are persisted in saved models;
          models from older releases load as `zero` (the prior undef -> 0
          scoring behaviour)
        - the C build is now tunable via environment variables read at first
          module load: IF_ARCH=<value> adds -march=<value>, IF_NATIVE=1 is
          shorthand for IF_ARCH=native, IF_OPT overrides the default -O3,
          and IF_NO_C=1 skips building the C backend entirely; values are
          validated (bad ones warn and fall back to the defaults) and the
          flags actually used are exposed via $OPT_LEVEL
        - Benchmarking: bench-sklearn-scoring.pl now compares pure Perl, C,
          and C+OpenMP fit/score paths against sklearn side by side

0.2.1   2026-06-30/14:30
        - derp... actually update MANIFEST so a bunch of files from last release
          are actually included

0.2.0   2026-06-30/14:15
        - 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

0.1.0   2026-06-23/03:15
        - add csv2plot helper command for graphing

0.0.1   2026-06-21/21:45
        - initial release