Revert "Add calibration tolerance experiment app"

This reverts commit 8861432.

Author: anth-volk

modal_app/README.md

@@ -27,8 +27,6 @@ modal run modal_app/remote_calibration_runner.py --branch <branch> --epochs <n>
 | `--push-results` | `False` | Upload weights, blocks, and logs to HuggingFace |
 | `--trigger-publish` | `False` | Fire `repository_dispatch` to trigger the Publish workflow |
 | `--target-config` | (none) | Target configuration name |
-| `--target-policy` | (none) | Target tolerance policy YAML path |
-| `--target-tolerance-mode` | (none) | Final tolerance behavior: `enforce` or `evaluate` |
 | `--beta` | (none) | L0 relaxation parameter |
 | `--lambda-l0` | (none) | L0 penalty weight |
 | `--lambda-l2` | (none) | L2 penalty weight |
@@ -80,8 +78,6 @@ Every run produces these local files (whichever the calibration script emits):
 - **unified_diagnostics.csv** — Final per-target diagnostics
 - **calibration_log.csv** — Per-target metrics across epochs (requires `--log-freq`)
 - **unified_run_config.json** — Run configuration and summary stats
-- **calibration_target_policy.jsonl** — Resolved per-target tolerance policy
-- **calibration_target_policy_summary.json** — Target tolerance summary
 
 ## Artifact Upload to HuggingFace
 
@@ -94,36 +90,10 @@ atomic commit after writing them locally:
 | `calibration_log.csv` | `calibration/logs/calibration_log.csv` |
 | `unified_diagnostics.csv` | `calibration/logs/unified_diagnostics.csv` |
 | `unified_run_config.json` | `calibration/logs/unified_run_config.json` |
-| `calibration_target_policy.jsonl` | `calibration/logs/calibration_target_policy.jsonl` |
-| `calibration_target_policy_summary.json` | `calibration/logs/calibration_target_policy_summary.json` |
 
 Each upload overwrites the previous files. HF git history provides implicit
 versioning — browse past commits to see earlier runs.
 
-## Tolerance Experiment App
-
-`modal_app/calibration_tolerance_experiment.py` runs an isolated full regional
-calibration experiment from the current Modal volume inputs. It copies
-`policy_data.db` and `source_imputed_stratified_extended_cps.h5` into
-`/pipeline/epsilon_calibration_runs/{run_id}`, builds a run-scoped calibration
-package, fits weights with `--target-tolerance-mode evaluate`, and writes
-diagnostics, resolved target-policy artifacts, and `experiment_summary.json`.
-It does not upload Hugging Face artifacts or trigger H5 publication.
-
-Deploy the app when you want to launch repeat experiments from Modal rather
-than from a local CLI session:
-
-```bash
-modal deploy modal_app/calibration_tolerance_experiment.py
-```
-
-```bash
-modal run modal_app/calibration_tolerance_experiment.py::main \
-  --branch codex/epsilon-insensitive-calibration \
-  --run-id epsilon-smoke \
-  --epochs 1000
-```
-
 ## Triggering the Publish Workflow
 
 The `--trigger-publish` flag fires a `repository_dispatch` event