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  1. workspace/runs/ctt_base_context_obs_nonlinear_dominance_chart_sourcecompat_obs_utility_envclip_k16_train_to_test/command.txt +1 -0
  2. workspace/runs/ctt_base_context_obs_nonlinear_dominance_chart_sourcecompat_obs_utility_envclip_k16_train_to_test/config.yaml +15 -0
  3. workspace/runs/ctt_base_context_obs_nonlinear_dominance_chart_sourcecompat_obs_utility_envclip_k16_train_to_test/data_hash.txt +7 -0
  4. workspace/runs/ctt_base_context_obs_nonlinear_dominance_chart_sourcecompat_obs_utility_envclip_k16_train_to_test/eval.log +3 -0
  5. workspace/runs/ctt_base_context_obs_nonlinear_dominance_chart_sourcecompat_obs_utility_envclip_k16_train_to_test/git_hash.txt +1 -0
  6. workspace/runs/ctt_base_context_obs_nonlinear_dominance_chart_sourcecompat_obs_utility_envclip_k16_train_to_test/metrics.json +0 -0
  7. workspace/runs/ctt_base_context_obs_nonlinear_dominance_chart_sourcecompat_obs_utility_envclip_k16_train_to_test/metrics_by_seed.json +2762 -0
  8. workspace/runs/ctt_base_context_obs_nonlinear_dominance_chart_sourcecompat_obs_utility_envclip_k16_train_to_test/metrics_by_task.json +117 -0
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  15. workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_positive_envclip_k16_train_to_test/data_hash.txt +7 -0
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  17. workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_positive_envclip_k16_train_to_test/git_hash.txt +1 -0
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workspace/runs/ctt_base_context_obs_nonlinear_dominance_chart_sourcecompat_obs_utility_envclip_k16_train_to_test/command.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ python scripts/eval_nonlinear_dominance_selector.py --calibration-input runs/ctt_base_context_obs_train_cal_envclip_k16_rollout_comparison/combined_measured_candidates.json --calibration-target-index data/cil_charts_rgb_refs/train/index.json --eval-input runs/ctt_base_context_obs_test_envclip_k16_rollout_comparison/combined_measured_candidates.json --eval-target-index data/cil_charts_rgb_refs/test/index.json --source-index data/cil_charts_rgb_refs/train/index.json --checkpoint-template runs/ctt_residual_base_context_obs_seed{seed}/model.pt --out-dir runs/ctt_base_context_obs_nonlinear_dominance_chart_sourcecompat_obs_utility_envclip_k16_train_to_test --feature-set chart_source_compat --selector-chart-feature-mode base_context_obs --target utility_margin --k 16 --bootstrap-samples 1000
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chart_sourcecompat_obs_utility_envclip_k16_train_to_test/config.yaml ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ bootstrap_samples: 1000
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+ calibration_input: runs/ctt_base_context_obs_train_cal_envclip_k16_rollout_comparison/combined_measured_candidates.json
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+ calibration_target_index: data/cil_charts_rgb_refs/train/index.json
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+ checkpoint_template: runs/ctt_residual_base_context_obs_seed{seed}/model.pt
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+ eval_input: runs/ctt_base_context_obs_test_envclip_k16_rollout_comparison/combined_measured_candidates.json
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+ eval_target_index: data/cil_charts_rgb_refs/test/index.json
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+ feature_set: chart_source_compat
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+ k: 16
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+ model_types: hgb_classifier,hgb_regressor,rf_regressor
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+ out_dir: runs/ctt_base_context_obs_nonlinear_dominance_chart_sourcecompat_obs_utility_envclip_k16_train_to_test
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+ seed: 0
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+ selection_frac: 0.35
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+ selector_chart_feature_mode: base_context_obs
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+ source_index: data/cil_charts_rgb_refs/train/index.json
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+ target: utility_margin
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chart_sourcecompat_obs_utility_envclip_k16_train_to_test/data_hash.txt ADDED
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+ {
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+ "calibration_input": "d79e275b896eb98caa128470d4614b76960cab12407faa157c583224be7abe80",
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+ "calibration_target_index": "67973c50072aa87a3b97533b6292b08a8b4d88a95571dc22e91b6e8fd19e0d85",
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workspace/runs/ctt_base_context_obs_nonlinear_dominance_chart_sourcecompat_obs_utility_envclip_k16_train_to_test/eval.log ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ selected model/tau on held-out calibration-selection rows; evaluated on held-out measured rollout rows
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+ eval_input=runs/ctt_base_context_obs_test_envclip_k16_rollout_comparison/combined_measured_candidates.json
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+ num_eval_rows=144
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chart_sourcecompat_obs_utility_envclip_k16_train_to_test/git_hash.txt ADDED
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+ 14e81292e2004925f81e0bb4810f6f144bfd87b7
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chart_sourcecompat_obs_utility_envclip_k16_train_to_test/metrics.json ADDED
The diff for this file is too large to render. See raw diff
 
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chart_sourcecompat_obs_utility_envclip_k16_train_to_test/metrics_by_seed.json ADDED
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+ }
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+ }
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chart_sourcecompat_obs_utility_envclip_k16_train_to_test/metrics_by_task.json ADDED
@@ -0,0 +1,117 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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workspace/runs/ctt_base_context_obs_nonlinear_dominance_chart_sourcecompat_obs_utility_envclip_k16_train_to_test/report.md ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Nonlinear Train-Calibrated CTT Selector
2
+
3
+ Calibration rows: `432`
4
+ Fit rows: `277`
5
+ Selection rows: `155`
6
+ Eval rows: `144`
7
+ Selected model: `hgb_classifier`
8
+ Selected params: `{"l2_regularization": 0.01, "learning_rate": 0.05, "max_iter": 80, "max_leaf_nodes": 15, "random_state": 0}`
9
+ Tau: `0.290311`
10
+ Feature set: `chart_source_compat`
11
+ Target: `utility_margin`
12
+
13
+ The model is fit on calibration-fit rows, and model/tau are selected on held-out calibration-selection rows only. Eval outcomes are used only for reporting.
14
+
15
+ | Split | Coverage | Fallback | Base success | Selected success | Proposal oracle | OutcomePTR | Success support gap | Success selector gap |
16
+ | --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
17
+ | fit | 0.4982 | 0.5018 | 0.2780 | 0.4657 | 0.5343 | 0.5343 | 0.1733 | 0.1191 |
18
+ | selection | 0.6129 | 0.3871 | 0.2774 | 0.4065 | 0.5419 | 0.5677 | 0.1806 | 0.1677 |
19
+ | eval | 0.5278 | 0.4722 | 0.2917 | 0.2639 | 0.5694 | 0.5486 | 0.2014 | 0.3264 |
20
+
21
+ This is a train-calibrated selector diagnostic over already measured candidates, not a new rollout.
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chart_sourcecompat_obs_utility_envclip_k16_train_to_test/split_hash.txt ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "calibration_target_index": {
3
+ "content_hash": "67f7b4a692f7c7e71da24378dc71e3399c5d35afc14c494869eba6087b765c42",
4
+ "retrieval_index_allowed": true,
5
+ "split": "train",
6
+ "split_hash": "867a94a1c67686c082765671a7bf8d74a9d633085e1b2619c83197c60bf58372"
7
+ },
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+ "eval_target_index": {
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+ "content_hash": "0c38d73dc9bc4ab756e12006671b5d12f1a23358b281e54b3f6a9ae3cbf6e9af",
10
+ "retrieval_index_allowed": false,
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+ "split": "test",
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+ "split_hash": "84151df9e88c219b76751677558cc5bbbc19082bf358cea7330158e9e403e25f"
13
+ },
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+ "source_index": {
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+ "content_hash": "67f7b4a692f7c7e71da24378dc71e3399c5d35afc14c494869eba6087b765c42",
16
+ "retrieval_index_allowed": true,
17
+ "split": "train",
18
+ "split_hash": "867a94a1c67686c082765671a7bf8d74a9d633085e1b2619c83197c60bf58372"
19
+ }
20
+ }
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chart_sourcecompat_obs_utility_envclip_k16_train_to_test/table.tex ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ % Auto-generated by scripts/eval_nonlinear_dominance_selector.py
2
+ \begin{tabular}{lrrrrrrrr}
3
+ \toprule
4
+ Rows & Coverage & Fallback & Base succ. & Selected succ. & Oracle succ. & OutcomePTR & Succ. support gap & Succ. selector gap \\
5
+ \midrule
6
+ 144 & 0.5278 & 0.4722 & 0.2917 & 0.2639 & 0.5694 & 0.5486 & 0.2014 & 0.3264 \\
7
+ \bottomrule
8
+ \end{tabular}
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chart_sourcecompat_obs_utility_envclip_k16_train_to_test/train.log ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ trained nonlinear dominance selector on calibration-fit rows only
2
+ selected_model_type=hgb_classifier
3
+ selected_model_params={"l2_regularization": 0.01, "learning_rate": 0.05, "max_iter": 80, "max_leaf_nodes": 15, "random_state": 0}
4
+ tau=0.290311
5
+ calibration_input=runs/ctt_base_context_obs_train_cal_envclip_k16_rollout_comparison/combined_measured_candidates.json
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_positive_envclip_k16_train_to_test/command.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ python scripts/eval_nonlinear_dominance_selector.py --calibration-input runs/ctt_base_context_obs_train_cal_envclip_k16_rollout_comparison/combined_measured_candidates.json --calibration-target-index data/cil_charts_rgb_refs/train/index.json --eval-input runs/ctt_base_context_obs_test_envclip_k16_rollout_comparison/combined_measured_candidates.json --eval-target-index data/cil_charts_rgb_refs/test/index.json --source-index data/cil_charts_rgb_refs/train/index.json --checkpoint-template runs/ctt_residual_base_context_obs_seed{seed}/model.pt --out-dir runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_positive_envclip_k16_train_to_test --feature-set chart_compat --selector-chart-feature-mode base_context_obs --target positive_margin --k 16 --bootstrap-samples 1000
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_positive_envclip_k16_train_to_test/config.yaml ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ bootstrap_samples: 1000
2
+ calibration_input: runs/ctt_base_context_obs_train_cal_envclip_k16_rollout_comparison/combined_measured_candidates.json
3
+ calibration_target_index: data/cil_charts_rgb_refs/train/index.json
4
+ checkpoint_template: runs/ctt_residual_base_context_obs_seed{seed}/model.pt
5
+ eval_input: runs/ctt_base_context_obs_test_envclip_k16_rollout_comparison/combined_measured_candidates.json
6
+ eval_target_index: data/cil_charts_rgb_refs/test/index.json
7
+ feature_set: chart_compat
8
+ k: 16
9
+ model_types: hgb_classifier,hgb_regressor,rf_regressor
10
+ out_dir: runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_positive_envclip_k16_train_to_test
11
+ seed: 0
12
+ selection_frac: 0.35
13
+ selector_chart_feature_mode: base_context_obs
14
+ source_index: data/cil_charts_rgb_refs/train/index.json
15
+ target: positive_margin
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_positive_envclip_k16_train_to_test/data_hash.txt ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "calibration_input": "d79e275b896eb98caa128470d4614b76960cab12407faa157c583224be7abe80",
3
+ "calibration_target_index": "67973c50072aa87a3b97533b6292b08a8b4d88a95571dc22e91b6e8fd19e0d85",
4
+ "eval_input": "541d5a928da5f7ee04ca3dea570e04208830dffde431edfe5b5e38b692634045",
5
+ "eval_target_index": "dee1b5225485df6624747dd4c5074bcf514685b54017d05e698d2051638fbf36",
6
+ "source_index": "67973c50072aa87a3b97533b6292b08a8b4d88a95571dc22e91b6e8fd19e0d85"
7
+ }
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_positive_envclip_k16_train_to_test/eval.log ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ selected model/tau on held-out calibration-selection rows; evaluated on held-out measured rollout rows
2
+ eval_input=runs/ctt_base_context_obs_test_envclip_k16_rollout_comparison/combined_measured_candidates.json
3
+ num_eval_rows=144
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_positive_envclip_k16_train_to_test/git_hash.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ 14e81292e2004925f81e0bb4810f6f144bfd87b7
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_positive_envclip_k16_train_to_test/metrics.json ADDED
The diff for this file is too large to render. See raw diff
 
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workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_positive_envclip_k16_train_to_test/report.md ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Nonlinear Train-Calibrated CTT Selector
2
+
3
+ Calibration rows: `432`
4
+ Fit rows: `277`
5
+ Selection rows: `155`
6
+ Eval rows: `144`
7
+ Selected model: `hgb_classifier`
8
+ Selected params: `{"l2_regularization": 0.01, "learning_rate": 0.05, "max_iter": 80, "max_leaf_nodes": 15, "random_state": 0}`
9
+ Tau: `0.347319`
10
+ Feature set: `chart_compat`
11
+ Target: `positive_margin`
12
+
13
+ The model is fit on calibration-fit rows, and model/tau are selected on held-out calibration-selection rows only. Eval outcomes are used only for reporting.
14
+
15
+ | Split | Coverage | Fallback | Base success | Selected success | Proposal oracle | OutcomePTR | Success support gap | Success selector gap |
16
+ | --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
17
+ | fit | 0.4549 | 0.5451 | 0.2780 | 0.4621 | 0.5343 | 0.5343 | 0.1733 | 0.1264 |
18
+ | selection | 0.4903 | 0.5097 | 0.2774 | 0.4452 | 0.5419 | 0.5677 | 0.1806 | 0.1419 |
19
+ | eval | 0.3542 | 0.6458 | 0.2917 | 0.2847 | 0.5694 | 0.5486 | 0.2014 | 0.2986 |
20
+
21
+ This is a train-calibrated selector diagnostic over already measured candidates, not a new rollout.
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+ "split_hash": "84151df9e88c219b76751677558cc5bbbc19082bf358cea7330158e9e403e25f"
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+ },
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+ "retrieval_index_allowed": true,
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+ "split": "train",
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+ "split_hash": "867a94a1c67686c082765671a7bf8d74a9d633085e1b2619c83197c60bf58372"
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+ }
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+ }
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_positive_envclip_k16_train_to_test/table.tex ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ % Auto-generated by scripts/eval_nonlinear_dominance_selector.py
2
+ \begin{tabular}{lrrrrrrrr}
3
+ \toprule
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+ Rows & Coverage & Fallback & Base succ. & Selected succ. & Oracle succ. & OutcomePTR & Succ. support gap & Succ. selector gap \\
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+ \midrule
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+ 144 & 0.3542 & 0.6458 & 0.2917 & 0.2847 & 0.5694 & 0.5486 & 0.2014 & 0.2986 \\
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+ \bottomrule
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+ \end{tabular}
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_positive_envclip_k16_train_to_test/train.log ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ trained nonlinear dominance selector on calibration-fit rows only
2
+ selected_model_type=hgb_classifier
3
+ selected_model_params={"l2_regularization": 0.01, "learning_rate": 0.05, "max_iter": 80, "max_leaf_nodes": 15, "random_state": 0}
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+ tau=0.347319
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+ calibration_input=runs/ctt_base_context_obs_train_cal_envclip_k16_rollout_comparison/combined_measured_candidates.json
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_envclip_k16_train_to_test/command.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ python scripts/eval_nonlinear_dominance_selector.py --calibration-input runs/ctt_base_context_obs_train_cal_envclip_k16_rollout_comparison/combined_measured_candidates.json --calibration-target-index data/cil_charts_rgb_refs/train/index.json --eval-input runs/ctt_base_context_obs_test_envclip_k16_rollout_comparison/combined_measured_candidates.json --eval-target-index data/cil_charts_rgb_refs/test/index.json --source-index data/cil_charts_rgb_refs/train/index.json --checkpoint-template runs/ctt_residual_base_context_obs_seed{seed}/model.pt --out-dir runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_envclip_k16_train_to_test --feature-set chart_compat --selector-chart-feature-mode base_context_obs --target success_weighted_margin --k 16 --bootstrap-samples 1000
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_envclip_k16_train_to_test/config.yaml ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ bootstrap_samples: 1000
2
+ calibration_input: runs/ctt_base_context_obs_train_cal_envclip_k16_rollout_comparison/combined_measured_candidates.json
3
+ calibration_target_index: data/cil_charts_rgb_refs/train/index.json
4
+ checkpoint_template: runs/ctt_residual_base_context_obs_seed{seed}/model.pt
5
+ eval_input: runs/ctt_base_context_obs_test_envclip_k16_rollout_comparison/combined_measured_candidates.json
6
+ eval_target_index: data/cil_charts_rgb_refs/test/index.json
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+ feature_set: chart_compat
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+ k: 16
9
+ model_types: hgb_classifier,hgb_regressor,rf_regressor
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+ out_dir: runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_envclip_k16_train_to_test
11
+ seed: 0
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+ selection_frac: 0.35
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+ selector_chart_feature_mode: base_context_obs
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+ source_index: data/cil_charts_rgb_refs/train/index.json
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+ target: success_weighted_margin
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_envclip_k16_train_to_test/data_hash.txt ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
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+ "calibration_input": "d79e275b896eb98caa128470d4614b76960cab12407faa157c583224be7abe80",
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+ "calibration_target_index": "67973c50072aa87a3b97533b6292b08a8b4d88a95571dc22e91b6e8fd19e0d85",
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+ "eval_input": "541d5a928da5f7ee04ca3dea570e04208830dffde431edfe5b5e38b692634045",
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+ "eval_target_index": "dee1b5225485df6624747dd4c5074bcf514685b54017d05e698d2051638fbf36",
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+ "source_index": "67973c50072aa87a3b97533b6292b08a8b4d88a95571dc22e91b6e8fd19e0d85"
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+ }
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_envclip_k16_train_to_test/eval.log ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ selected model/tau on held-out calibration-selection rows; evaluated on held-out measured rollout rows
2
+ eval_input=runs/ctt_base_context_obs_test_envclip_k16_rollout_comparison/combined_measured_candidates.json
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+ num_eval_rows=144
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_envclip_k16_train_to_test/git_hash.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ 14e81292e2004925f81e0bb4810f6f144bfd87b7
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_envclip_k16_train_to_test/metrics.json ADDED
The diff for this file is too large to render. See raw diff
 
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_envclip_k16_train_to_test/metrics_by_seed.json ADDED
@@ -0,0 +1,2762 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 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+ "proposal_oracle_utility": 1.1093241602430741,
60
+ "selected_candidate_index": 3.8533333333333335,
61
+ "selected_success": 0.30666666666666664,
62
+ "selected_success_gain_over_base": -0.05333333333333334,
63
+ "selected_utility": 0.666174189314867,
64
+ "selected_utility_gain_over_base": -0.10899627190859368,
65
+ "selector_regret": 0.49621246912516653,
66
+ "success_selector_gap": 0.25333333333333335,
67
+ "success_support_gap": 0.02666666666666667,
68
+ "support_gap": 0.1075624164690574,
69
+ "tau": 0.34731881885037885
70
+ },
71
+ "PushCube-v1": {
72
+ "base_success": 0.16666666666666666,
73
+ "base_utility": 0.3924041787783305,
74
+ "coverage": 0.7222222222222222,
75
+ "execute_generated": 0.7222222222222222,
76
+ "fallback_rate": 0.2777777777777778,
77
+ "hidden_chart_oracle_success": 0.8333333333333334,
78
+ "hidden_chart_oracle_utility": 1.7015800600250561,
79
+ "outcome_ptr": 0.8333333333333334,
80
+ "predicted_margin": 0.4544794286452365,
81
+ "proposal_oracle_success": 0.8888888888888888,
82
+ "proposal_oracle_utility": 1.7857814149724112,
83
+ "selected_candidate_index": 4.555555555555555,
84
+ "selected_success": 0.2777777777777778,
85
+ "selected_success_gain_over_base": 0.1111111111111111,
86
+ "selected_utility": 0.6184621560904715,
87
+ "selected_utility_gain_over_base": 0.226057977312141,
88
+ "selector_regret": 1.1673192588819399,
89
+ "success_selector_gap": 0.6111111111111112,
90
+ "success_support_gap": 0.1111111111111111,
91
+ "support_gap": 0.21421858502758873,
92
+ "tau": 0.3473188188503784
93
+ },
94
+ "StackCube-v1": {
95
+ "base_success": 0.2727272727272727,
96
+ "base_utility": 0.7763947045261209,
97
+ "coverage": 0.2727272727272727,
98
+ "execute_generated": 0.2727272727272727,
99
+ "fallback_rate": 0.7272727272727273,
100
+ "hidden_chart_oracle_success": 1.0,
101
+ "hidden_chart_oracle_utility": 2.0,
102
+ "outcome_ptr": 0.6363636363636364,
103
+ "predicted_margin": 0.2862752255853337,
104
+ "proposal_oracle_success": 0.5151515151515151,
105
+ "proposal_oracle_utility": 1.1567951707225856,
106
+ "selected_candidate_index": 6.303030303030303,
107
+ "selected_success": 0.30303030303030304,
108
+ "selected_success_gain_over_base": 0.030303030303030304,
109
+ "selected_utility": 0.7894506924080126,
110
+ "selected_utility_gain_over_base": 0.013055987881891655,
111
+ "selector_regret": 0.37093746346054657,
112
+ "success_selector_gap": 0.21212121212121213,
113
+ "success_support_gap": 0.48484848484848486,
114
+ "support_gap": 0.8432048292774142,
115
+ "tau": 0.3473188188503786
116
+ }
117
+ }
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_envclip_k16_train_to_test/report.md ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Nonlinear Train-Calibrated CTT Selector
2
+
3
+ Calibration rows: `432`
4
+ Fit rows: `277`
5
+ Selection rows: `155`
6
+ Eval rows: `144`
7
+ Selected model: `hgb_classifier`
8
+ Selected params: `{"l2_regularization": 0.01, "learning_rate": 0.05, "max_iter": 80, "max_leaf_nodes": 15, "random_state": 0}`
9
+ Tau: `0.347319`
10
+ Feature set: `chart_compat`
11
+ Target: `success_weighted_margin`
12
+
13
+ The model is fit on calibration-fit rows, and model/tau are selected on held-out calibration-selection rows only. Eval outcomes are used only for reporting.
14
+
15
+ | Split | Coverage | Fallback | Base success | Selected success | Proposal oracle | OutcomePTR | Success support gap | Success selector gap |
16
+ | --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
17
+ | fit | 0.4549 | 0.5451 | 0.2780 | 0.4621 | 0.5343 | 0.5343 | 0.1733 | 0.1264 |
18
+ | selection | 0.4903 | 0.5097 | 0.2774 | 0.4452 | 0.5419 | 0.5677 | 0.1806 | 0.1419 |
19
+ | eval | 0.3542 | 0.6458 | 0.2917 | 0.2847 | 0.5694 | 0.5486 | 0.2014 | 0.2986 |
20
+
21
+ This is a train-calibrated selector diagnostic over already measured candidates, not a new rollout.
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_envclip_k16_train_to_test/split_hash.txt ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "calibration_target_index": {
3
+ "content_hash": "67f7b4a692f7c7e71da24378dc71e3399c5d35afc14c494869eba6087b765c42",
4
+ "retrieval_index_allowed": true,
5
+ "split": "train",
6
+ "split_hash": "867a94a1c67686c082765671a7bf8d74a9d633085e1b2619c83197c60bf58372"
7
+ },
8
+ "eval_target_index": {
9
+ "content_hash": "0c38d73dc9bc4ab756e12006671b5d12f1a23358b281e54b3f6a9ae3cbf6e9af",
10
+ "retrieval_index_allowed": false,
11
+ "split": "test",
12
+ "split_hash": "84151df9e88c219b76751677558cc5bbbc19082bf358cea7330158e9e403e25f"
13
+ },
14
+ "source_index": {
15
+ "content_hash": "67f7b4a692f7c7e71da24378dc71e3399c5d35afc14c494869eba6087b765c42",
16
+ "retrieval_index_allowed": true,
17
+ "split": "train",
18
+ "split_hash": "867a94a1c67686c082765671a7bf8d74a9d633085e1b2619c83197c60bf58372"
19
+ }
20
+ }
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_envclip_k16_train_to_test/table.tex ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ % Auto-generated by scripts/eval_nonlinear_dominance_selector.py
2
+ \begin{tabular}{lrrrrrrrr}
3
+ \toprule
4
+ Rows & Coverage & Fallback & Base succ. & Selected succ. & Oracle succ. & OutcomePTR & Succ. support gap & Succ. selector gap \\
5
+ \midrule
6
+ 144 & 0.3542 & 0.6458 & 0.2917 & 0.2847 & 0.5694 & 0.5486 & 0.2014 & 0.2986 \\
7
+ \bottomrule
8
+ \end{tabular}
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_envclip_k16_train_to_test/train.log ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ trained nonlinear dominance selector on calibration-fit rows only
2
+ selected_model_type=hgb_classifier
3
+ selected_model_params={"l2_regularization": 0.01, "learning_rate": 0.05, "max_iter": 80, "max_leaf_nodes": 15, "random_state": 0}
4
+ tau=0.347319
5
+ calibration_input=runs/ctt_base_context_obs_train_cal_envclip_k16_rollout_comparison/combined_measured_candidates.json
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_reg_envclip_k16_train_to_test/command.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ python scripts/eval_nonlinear_dominance_selector.py --calibration-input runs/ctt_base_context_obs_train_cal_envclip_k16_rollout_comparison/combined_measured_candidates.json --calibration-target-index data/cil_charts_rgb_refs/train/index.json --eval-input runs/ctt_base_context_obs_test_envclip_k16_rollout_comparison/combined_measured_candidates.json --eval-target-index data/cil_charts_rgb_refs/test/index.json --source-index data/cil_charts_rgb_refs/train/index.json --checkpoint-template runs/ctt_residual_base_context_obs_seed{seed}/model.pt --out-dir runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_reg_envclip_k16_train_to_test --feature-set chart_compat --selector-chart-feature-mode base_context_obs --target success_weighted_margin --model-types hgb_regressor,rf_regressor --k 16 --bootstrap-samples 1000
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_reg_envclip_k16_train_to_test/config.yaml ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ bootstrap_samples: 1000
2
+ calibration_input: runs/ctt_base_context_obs_train_cal_envclip_k16_rollout_comparison/combined_measured_candidates.json
3
+ calibration_target_index: data/cil_charts_rgb_refs/train/index.json
4
+ checkpoint_template: runs/ctt_residual_base_context_obs_seed{seed}/model.pt
5
+ eval_input: runs/ctt_base_context_obs_test_envclip_k16_rollout_comparison/combined_measured_candidates.json
6
+ eval_target_index: data/cil_charts_rgb_refs/test/index.json
7
+ feature_set: chart_compat
8
+ k: 16
9
+ model_types: hgb_regressor,rf_regressor
10
+ out_dir: runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_reg_envclip_k16_train_to_test
11
+ seed: 0
12
+ selection_frac: 0.35
13
+ selector_chart_feature_mode: base_context_obs
14
+ source_index: data/cil_charts_rgb_refs/train/index.json
15
+ target: success_weighted_margin
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_reg_envclip_k16_train_to_test/data_hash.txt ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "calibration_input": "d79e275b896eb98caa128470d4614b76960cab12407faa157c583224be7abe80",
3
+ "calibration_target_index": "67973c50072aa87a3b97533b6292b08a8b4d88a95571dc22e91b6e8fd19e0d85",
4
+ "eval_input": "541d5a928da5f7ee04ca3dea570e04208830dffde431edfe5b5e38b692634045",
5
+ "eval_target_index": "dee1b5225485df6624747dd4c5074bcf514685b54017d05e698d2051638fbf36",
6
+ "source_index": "67973c50072aa87a3b97533b6292b08a8b4d88a95571dc22e91b6e8fd19e0d85"
7
+ }
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_reg_envclip_k16_train_to_test/eval.log ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ selected model/tau on held-out calibration-selection rows; evaluated on held-out measured rollout rows
2
+ eval_input=runs/ctt_base_context_obs_test_envclip_k16_rollout_comparison/combined_measured_candidates.json
3
+ num_eval_rows=144
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_reg_envclip_k16_train_to_test/git_hash.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ 14e81292e2004925f81e0bb4810f6f144bfd87b7
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_reg_envclip_k16_train_to_test/metrics.json ADDED
The diff for this file is too large to render. See raw diff
 
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_reg_envclip_k16_train_to_test/metrics_by_seed.json ADDED
@@ -0,0 +1,2762 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "1073161778/train0": {
3
+ "base_success": 1.0,
4
+ "base_utility": 2.0,
5
+ "coverage": 0.0,
6
+ "execute_generated": 0.0,
7
+ "fallback_rate": 1.0,
8
+ "hidden_chart_oracle_success": 1.0,
9
+ "hidden_chart_oracle_utility": 2.0,
10
+ "outcome_ptr": 0.0,
11
+ "predicted_margin": 0.06754539929905881,
12
+ "proposal_oracle_success": 1.0,
13
+ "proposal_oracle_utility": 2.0,
14
+ "selected_candidate_index": 9.0,
15
+ "selected_success": 1.0,
16
+ "selected_success_gain_over_base": 0.0,
17
+ "selected_utility": 2.0,
18
+ "selected_utility_gain_over_base": 0.0,
19
+ "selector_regret": 0.0,
20
+ "success_selector_gap": 0.0,
21
+ "success_support_gap": 0.0,
22
+ "support_gap": 0.0,
23
+ "tau": 0.461885278016425
24
+ },
25
+ "1073161778/train1": {
26
+ "base_success": 1.0,
27
+ "base_utility": 2.0,
28
+ "coverage": 0.0,
29
+ "execute_generated": 0.0,
30
+ "fallback_rate": 1.0,
31
+ "hidden_chart_oracle_success": 1.0,
32
+ "hidden_chart_oracle_utility": 2.0,
33
+ "outcome_ptr": 0.0,
34
+ "predicted_margin": 0.06754539929905881,
35
+ "proposal_oracle_success": 1.0,
36
+ "proposal_oracle_utility": 2.0,
37
+ "selected_candidate_index": 1.0,
38
+ "selected_success": 1.0,
39
+ "selected_success_gain_over_base": 0.0,
40
+ "selected_utility": 2.0,
41
+ "selected_utility_gain_over_base": 0.0,
42
+ "selector_regret": 0.0,
43
+ "success_selector_gap": 0.0,
44
+ "success_support_gap": 0.0,
45
+ "support_gap": 0.0,
46
+ "tau": 0.461885278016425
47
+ },
48
+ "1073161778/train2": {
49
+ "base_success": 1.0,
50
+ "base_utility": 2.0,
51
+ "coverage": 0.0,
52
+ "execute_generated": 0.0,
53
+ "fallback_rate": 1.0,
54
+ "hidden_chart_oracle_success": 1.0,
55
+ "hidden_chart_oracle_utility": 2.0,
56
+ "outcome_ptr": 0.0,
57
+ "predicted_margin": 0.06754539929905881,
58
+ "proposal_oracle_success": 1.0,
59
+ "proposal_oracle_utility": 2.0,
60
+ "selected_candidate_index": 4.0,
61
+ "selected_success": 1.0,
62
+ "selected_success_gain_over_base": 0.0,
63
+ "selected_utility": 2.0,
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+ "support_gap": 0.04088494274765253,
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+ }
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+ }
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_reg_envclip_k16_train_to_test/metrics_by_task.json ADDED
@@ -0,0 +1,117 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ }
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+ }
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_reg_envclip_k16_train_to_test/report.md ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Nonlinear Train-Calibrated CTT Selector
2
+
3
+ Calibration rows: `432`
4
+ Fit rows: `277`
5
+ Selection rows: `155`
6
+ Eval rows: `144`
7
+ Selected model: `hgb_regressor`
8
+ Selected params: `{"l2_regularization": 0.01, "learning_rate": 0.05, "max_iter": 40, "max_leaf_nodes": 15, "random_state": 0}`
9
+ Tau: `0.461885`
10
+ Feature set: `chart_compat`
11
+ Target: `success_weighted_margin`
12
+
13
+ The model is fit on calibration-fit rows, and model/tau are selected on held-out calibration-selection rows only. Eval outcomes are used only for reporting.
14
+
15
+ | Split | Coverage | Fallback | Base success | Selected success | Proposal oracle | OutcomePTR | Success support gap | Success selector gap |
16
+ | --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
17
+ | fit | 0.3357 | 0.6643 | 0.2780 | 0.4621 | 0.5343 | 0.5343 | 0.1733 | 0.1264 |
18
+ | selection | 0.3355 | 0.6645 | 0.2774 | 0.3742 | 0.5419 | 0.5677 | 0.1806 | 0.2065 |
19
+ | eval | 0.3403 | 0.6597 | 0.2917 | 0.3264 | 0.5694 | 0.5486 | 0.2014 | 0.2639 |
20
+
21
+ This is a train-calibrated selector diagnostic over already measured candidates, not a new rollout.
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_reg_envclip_k16_train_to_test/split_hash.txt ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "calibration_target_index": {
3
+ "content_hash": "67f7b4a692f7c7e71da24378dc71e3399c5d35afc14c494869eba6087b765c42",
4
+ "retrieval_index_allowed": true,
5
+ "split": "train",
6
+ "split_hash": "867a94a1c67686c082765671a7bf8d74a9d633085e1b2619c83197c60bf58372"
7
+ },
8
+ "eval_target_index": {
9
+ "content_hash": "0c38d73dc9bc4ab756e12006671b5d12f1a23358b281e54b3f6a9ae3cbf6e9af",
10
+ "retrieval_index_allowed": false,
11
+ "split": "test",
12
+ "split_hash": "84151df9e88c219b76751677558cc5bbbc19082bf358cea7330158e9e403e25f"
13
+ },
14
+ "source_index": {
15
+ "content_hash": "67f7b4a692f7c7e71da24378dc71e3399c5d35afc14c494869eba6087b765c42",
16
+ "retrieval_index_allowed": true,
17
+ "split": "train",
18
+ "split_hash": "867a94a1c67686c082765671a7bf8d74a9d633085e1b2619c83197c60bf58372"
19
+ }
20
+ }
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_reg_envclip_k16_train_to_test/table.tex ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ % Auto-generated by scripts/eval_nonlinear_dominance_selector.py
2
+ \begin{tabular}{lrrrrrrrr}
3
+ \toprule
4
+ Rows & Coverage & Fallback & Base succ. & Selected succ. & Oracle succ. & OutcomePTR & Succ. support gap & Succ. selector gap \\
5
+ \midrule
6
+ 144 & 0.3403 & 0.6597 & 0.2917 & 0.3264 & 0.5694 & 0.5486 & 0.2014 & 0.2639 \\
7
+ \bottomrule
8
+ \end{tabular}
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_success_weighted_reg_envclip_k16_train_to_test/train.log ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ trained nonlinear dominance selector on calibration-fit rows only
2
+ selected_model_type=hgb_regressor
3
+ selected_model_params={"l2_regularization": 0.01, "learning_rate": 0.05, "max_iter": 40, "max_leaf_nodes": 15, "random_state": 0}
4
+ tau=0.461885
5
+ calibration_input=runs/ctt_base_context_obs_train_cal_envclip_k16_rollout_comparison/combined_measured_candidates.json
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_utility_envclip_k16_train_to_test/command.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ python scripts/eval_nonlinear_dominance_selector.py --calibration-input runs/ctt_base_context_obs_train_cal_envclip_k16_rollout_comparison/combined_measured_candidates.json --calibration-target-index data/cil_charts_rgb_refs/train/index.json --eval-input runs/ctt_base_context_obs_test_envclip_k16_rollout_comparison/combined_measured_candidates.json --eval-target-index data/cil_charts_rgb_refs/test/index.json --source-index data/cil_charts_rgb_refs/train/index.json --checkpoint-template runs/ctt_residual_base_context_obs_seed{seed}/model.pt --out-dir runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_utility_envclip_k16_train_to_test --feature-set chart_compat --selector-chart-feature-mode base_context_obs --target utility_margin --k 16 --bootstrap-samples 1000
workspace/runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_utility_envclip_k16_train_to_test/config.yaml ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ bootstrap_samples: 1000
2
+ calibration_input: runs/ctt_base_context_obs_train_cal_envclip_k16_rollout_comparison/combined_measured_candidates.json
3
+ calibration_target_index: data/cil_charts_rgb_refs/train/index.json
4
+ checkpoint_template: runs/ctt_residual_base_context_obs_seed{seed}/model.pt
5
+ eval_input: runs/ctt_base_context_obs_test_envclip_k16_rollout_comparison/combined_measured_candidates.json
6
+ eval_target_index: data/cil_charts_rgb_refs/test/index.json
7
+ feature_set: chart_compat
8
+ k: 16
9
+ model_types: hgb_classifier,hgb_regressor,rf_regressor
10
+ out_dir: runs/ctt_base_context_obs_nonlinear_dominance_chartcompat_obs_utility_envclip_k16_train_to_test
11
+ seed: 0
12
+ selection_frac: 0.35
13
+ selector_chart_feature_mode: base_context_obs
14
+ source_index: data/cil_charts_rgb_refs/train/index.json
15
+ target: utility_margin