Benchmark profiles, CLI entrypoints, gaming detectors, and the benchmark runner surface.

Package source: tabnetics.benchmarks

Package overview

Benchmark runner and profile surface backing tabnetics-benchmark / python -m tabnetics.benchmarks.cli, exposing the profile registry for systematic paired comparisons and the runner that enforces the validation-catalog data policy: evidence-bearing runs use the HuggingFace mirror of public upstream sources and do not silently fall back to synthetic proxies.

Stable exports

  • FS_METHOD_SETS (constant) - Source. Module-level constant exported by the package surface.
  • tabnetics.benchmarks.cli - Source. Installed benchmark CLI entrypoint backing tabnetics-benchmark / python -m tabnetics.benchmarks.cli; the packaged surface defaults to df_stage_position="after_fs" and enforces the validation-catalog data policy: the HuggingFace bundle is the operational mirror of public upstream sources for evidence-bearing runs, and synthetic fallback is forbidden there.
  • tabnetics.benchmarks.gaming_detectors - Source. Read-only anti-gaming diagnostics for benchmark result analysis.
  • tabnetics.benchmarks.profiles - Source. Benchmark method-set profiles.
  • tabnetics.benchmarks.runner - Source. Run integrated DF+FS benchmarking with SOTA comparison and ablations.

Module details

tabnetics.benchmarks.__init__

Source file

Benchmark runner and profile surface backing tabnetics-benchmark / python -m tabnetics.benchmarks.cli, exposing the profile registry for systematic paired comparisons and the runner that enforces the validation-catalog data policy: evidence-bearing runs use the HuggingFace mirror of public upstream sources and do not silently fall back to synthetic proxies.

No top-level public symbols are exported directly from this module.

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