Activation Probar

Exports per-layer activation statistics (histogram, mean, std, min, max, kurtosis) and compares two snapshots to detect regressions. Regression criteria: mean shift > 0.1, std change > 20%, or histogram KL divergence > 0.5.

CLI Equivalent

apr probar model.apr --layers all --compare baseline.json

Key Concepts

  • Per-layer activation histogram and statistical snapshots
  • KL divergence for distribution comparison
  • Regression detection between model versions

Run

cargo run --example analysis_probar

Source

examples/analysis/analysis_probar/main.rs