Patched diagnostics CLI and thesis benchmark outputs

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Patched diagnostics CLI and thesis benchmark outputs

  • Day: 2026-06-09
  • Time: 11:40 to 12:00
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: In Progress
  • Priority: HIGH
  • Assignee: Matías Nehuen Iglesias
  • Tags: Python, Diagnostics, Cli, Pytest, Bugfix, Thesis

Description

Session Goal

Align the diagnostics generation pipeline with the CLI and benchmark expectations for the HGB thesis run, while closing the remaining artifact gap around distribution-compression reporting.

Key Activities

  • Diagnosed a CLI-to-function signature mismatch in build_diagnostics, where the CLI was passing max_scatter_points but the function signature did not accept it.
  • Planned a patch to src/eph_income/diagnostics.py to restore compatibility and unblock diagnostics generation.
  • Identified additional missing guard parameters (min_distribution_rows, min_decile_points) and proposed adding them to the function signature as compatibility placeholders.
  • Reviewed the HGB benchmark diagnostics state and confirmed that plots and skip-reason logging were already in place.
  • Investigated the missing distribution_compression_summary.[[csv]] artifact and defined a schema/validation approach to generate it consistently from archived predictions.
  • Corrected a column-name mismatch in the income-decile diagnostics workflow, noting that the CSV uses mae and n rather than abs_error_mean and row_count.
  • Interpreted the benchmark behavior as stable overall, with systematic tail bias: underprediction at high incomes and overprediction at low incomes.

Achievements

  • Clarified the root cause of the diagnostics failure: interface drift between CLI arguments and the diagnostics builder function.
  • Established the exact compatibility patch needed to restore diagnostics execution without retraining.
  • Defined the remaining thesis-ready artifact to produce: distribution_compression_summary.[[csv]].
  • Reconciled schema expectations for the compressed-distribution summary and the income-decile diagnostics outputs.
  • Confirmed the benchmark’s qualitative diagnostic signal, including distributional compression and tail-error structure.

Pending Tasks

  • Apply the build_diagnostics() signature patch and validate with linting, compilation, and pytest.
  • Regenerate diagnostics on the benchmark run without retraining.
  • Implement and verify distribution_compression_summary.[[csv]] generation.
  • Run the post-hoc validation script and thesis diagnostics check to ensure registry/output alignment.

Evidence

  • source_file=2026-06-09.sessions.jsonl, line_number=6, event_count=0, session_id=3ce73b8ccd2aa58cb284fa6bc8301cacb1c1c864134662cc1d3723aab16a39f8
  • event_ids: []

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