auto-sync 2026-07-04T00:30:01Z workspace (part 5)
Browse files- workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_source_envclip_k16_train_to_test/command.txt +1 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_source_envclip_k16_train_to_test/config.yaml +14 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_source_envclip_k16_train_to_test/data_hash.txt +7 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_source_envclip_k16_train_to_test/eval.log +3 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_source_envclip_k16_train_to_test/git_hash.txt +1 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_source_envclip_k16_train_to_test/metrics.json +0 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_source_envclip_k16_train_to_test/metrics_by_seed.json +2762 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_source_envclip_k16_train_to_test/metrics_by_task.json +117 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_source_envclip_k16_train_to_test/report.md +21 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_source_envclip_k16_train_to_test/split_hash.txt +14 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_source_envclip_k16_train_to_test/table.tex +8 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_source_envclip_k16_train_to_test/train.log +5 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_tangent_source_envclip_k16_train_to_test/command.txt +1 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_tangent_source_envclip_k16_train_to_test/config.yaml +14 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_tangent_source_envclip_k16_train_to_test/data_hash.txt +7 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_tangent_source_envclip_k16_train_to_test/eval.log +3 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_tangent_source_envclip_k16_train_to_test/git_hash.txt +1 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_tangent_source_envclip_k16_train_to_test/metrics.json +0 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_tangent_source_envclip_k16_train_to_test/metrics_by_seed.json +2762 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_tangent_source_envclip_k16_train_to_test/metrics_by_task.json +117 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_tangent_source_envclip_k16_train_to_test/report.md +21 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_tangent_source_envclip_k16_train_to_test/split_hash.txt +14 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_tangent_source_envclip_k16_train_to_test/table.tex +8 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_tangent_source_envclip_k16_train_to_test/train.log +5 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_source_envclip_k16_train_to_test/command.txt +1 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_source_envclip_k16_train_to_test/config.yaml +14 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_source_envclip_k16_train_to_test/data_hash.txt +7 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_source_envclip_k16_train_to_test/eval.log +3 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_source_envclip_k16_train_to_test/git_hash.txt +1 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_source_envclip_k16_train_to_test/metrics.json +0 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_source_envclip_k16_train_to_test/metrics_by_seed.json +2762 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_source_envclip_k16_train_to_test/metrics_by_task.json +117 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_source_envclip_k16_train_to_test/report.md +21 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_source_envclip_k16_train_to_test/split_hash.txt +14 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_source_envclip_k16_train_to_test/table.tex +8 -0
- workspace/runs/ctt_base_context_obs_nonlinear_dominance_source_envclip_k16_train_to_test/train.log +5 -0
workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_source_envclip_k16_train_to_test/command.txt
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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_context_source_envclip_k16_train_to_test --feature-set context_source_evidence --target positive_margin --k 16 --selection-frac 0.35 --seed 0 --bootstrap-samples 1000
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workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_source_envclip_k16_train_to_test/config.yaml
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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: context_source_evidence
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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_context_source_envclip_k16_train_to_test
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seed: 0
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selection_frac: 0.35
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source_index: data/cil_charts_rgb_refs/train/index.json
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target: positive_margin
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workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_source_envclip_k16_train_to_test/data_hash.txt
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{
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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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}
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workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_source_envclip_k16_train_to_test/eval.log
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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
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workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_source_envclip_k16_train_to_test/git_hash.txt
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14e81292e2004925f81e0bb4810f6f144bfd87b7
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workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_source_envclip_k16_train_to_test/metrics.json
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The diff for this file is too large to render.
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workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_source_envclip_k16_train_to_test/metrics_by_seed.json
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| 2734 |
+
"success_selector_gap": 0.25,
|
| 2735 |
+
"success_support_gap": 0.0,
|
| 2736 |
+
"support_gap": 0.045098946429789066,
|
| 2737 |
+
"tau": 0.40715585836176804
|
| 2738 |
+
},
|
| 2739 |
+
"767747424/train2": {
|
| 2740 |
+
"base_success": 0.25,
|
| 2741 |
+
"base_utility": 0.5731993420049548,
|
| 2742 |
+
"coverage": 0.5,
|
| 2743 |
+
"execute_generated": 0.5,
|
| 2744 |
+
"fallback_rate": 0.5,
|
| 2745 |
+
"hidden_chart_oracle_success": 0.25,
|
| 2746 |
+
"hidden_chart_oracle_utility": 0.6737305596470833,
|
| 2747 |
+
"outcome_ptr": 0.5,
|
| 2748 |
+
"predicted_margin": 0.4596545677799003,
|
| 2749 |
+
"proposal_oracle_success": 0.5,
|
| 2750 |
+
"proposal_oracle_utility": 1.0671670949086547,
|
| 2751 |
+
"selected_candidate_index": 5.5,
|
| 2752 |
+
"selected_success": 0.25,
|
| 2753 |
+
"selected_success_gain_over_base": 0.0,
|
| 2754 |
+
"selected_utility": 0.5758659457787871,
|
| 2755 |
+
"selected_utility_gain_over_base": 0.002666603773832321,
|
| 2756 |
+
"selector_regret": 0.49130114912986755,
|
| 2757 |
+
"success_selector_gap": 0.25,
|
| 2758 |
+
"success_support_gap": 0.0,
|
| 2759 |
+
"support_gap": 0.04088494274765253,
|
| 2760 |
+
"tau": 0.40715585836176804
|
| 2761 |
+
}
|
| 2762 |
+
}
|
workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_source_envclip_k16_train_to_test/metrics_by_task.json
ADDED
|
@@ -0,0 +1,117 @@
|
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|
|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"LiftPegUpright-v1": {
|
| 3 |
+
"base_success": 0.2,
|
| 4 |
+
"base_utility": 0.9498705387115478,
|
| 5 |
+
"coverage": 0.4,
|
| 6 |
+
"execute_generated": 0.4,
|
| 7 |
+
"fallback_rate": 0.6,
|
| 8 |
+
"hidden_chart_oracle_success": 1.0,
|
| 9 |
+
"hidden_chart_oracle_utility": 2.0,
|
| 10 |
+
"outcome_ptr": 0.5333333333333333,
|
| 11 |
+
"predicted_margin": 0.40425267594229874,
|
| 12 |
+
"proposal_oracle_success": 0.6,
|
| 13 |
+
"proposal_oracle_utility": 1.4122399787108104,
|
| 14 |
+
"selected_candidate_index": 9.333333333333334,
|
| 15 |
+
"selected_success": 0.2,
|
| 16 |
+
"selected_success_gain_over_base": 0.0,
|
| 17 |
+
"selected_utility": 0.8592480033636093,
|
| 18 |
+
"selected_utility_gain_over_base": -0.09062253534793854,
|
| 19 |
+
"selector_regret": 0.5539235760768254,
|
| 20 |
+
"success_selector_gap": 0.4,
|
| 21 |
+
"success_support_gap": 0.4,
|
| 22 |
+
"support_gap": 0.5877600212891897,
|
| 23 |
+
"tau": 0.4071558583617679
|
| 24 |
+
},
|
| 25 |
+
"PickCube-v1": {
|
| 26 |
+
"base_success": 0.0,
|
| 27 |
+
"base_utility": 0.5839591026306152,
|
| 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": 0.15764374471048398,
|
| 35 |
+
"proposal_oracle_success": 0.0,
|
| 36 |
+
"proposal_oracle_utility": 0.13425676027933756,
|
| 37 |
+
"selected_candidate_index": 7.0,
|
| 38 |
+
"selected_success": 0.0,
|
| 39 |
+
"selected_success_gain_over_base": 0.0,
|
| 40 |
+
"selected_utility": 0.5839591026306152,
|
| 41 |
+
"selected_utility_gain_over_base": 0.0,
|
| 42 |
+
"selector_regret": 0.0,
|
| 43 |
+
"success_selector_gap": 0.0,
|
| 44 |
+
"success_support_gap": 1.0,
|
| 45 |
+
"support_gap": 1.8657432397206624,
|
| 46 |
+
"tau": 0.40715585836176804
|
| 47 |
+
},
|
| 48 |
+
"PullCube-v1": {
|
| 49 |
+
"base_success": 0.36,
|
| 50 |
+
"base_utility": 0.7751704612234608,
|
| 51 |
+
"coverage": 0.52,
|
| 52 |
+
"execute_generated": 0.52,
|
| 53 |
+
"fallback_rate": 0.48,
|
| 54 |
+
"hidden_chart_oracle_success": 0.52,
|
| 55 |
+
"hidden_chart_oracle_utility": 1.1467878860235214,
|
| 56 |
+
"outcome_ptr": 0.4666666666666667,
|
| 57 |
+
"predicted_margin": 0.47058421183765486,
|
| 58 |
+
"proposal_oracle_success": 0.5333333333333333,
|
| 59 |
+
"proposal_oracle_utility": 1.1093241602430741,
|
| 60 |
+
"selected_candidate_index": 5.826666666666667,
|
| 61 |
+
"selected_success": 0.36,
|
| 62 |
+
"selected_success_gain_over_base": 0.0,
|
| 63 |
+
"selected_utility": 0.7658060344339659,
|
| 64 |
+
"selected_utility_gain_over_base": -0.009364426789494852,
|
| 65 |
+
"selector_regret": 0.4205954616734137,
|
| 66 |
+
"success_selector_gap": 0.21333333333333335,
|
| 67 |
+
"success_support_gap": 0.02666666666666667,
|
| 68 |
+
"support_gap": 0.1075624164690574,
|
| 69 |
+
"tau": 0.4071558583617685
|
| 70 |
+
},
|
| 71 |
+
"PushCube-v1": {
|
| 72 |
+
"base_success": 0.16666666666666666,
|
| 73 |
+
"base_utility": 0.3924041787783305,
|
| 74 |
+
"coverage": 0.6111111111111112,
|
| 75 |
+
"execute_generated": 0.6111111111111112,
|
| 76 |
+
"fallback_rate": 0.3888888888888889,
|
| 77 |
+
"hidden_chart_oracle_success": 0.8333333333333334,
|
| 78 |
+
"hidden_chart_oracle_utility": 1.7015800600250561,
|
| 79 |
+
"outcome_ptr": 0.8333333333333334,
|
| 80 |
+
"predicted_margin": 0.4770526627649928,
|
| 81 |
+
"proposal_oracle_success": 0.8888888888888888,
|
| 82 |
+
"proposal_oracle_utility": 1.7857814149724112,
|
| 83 |
+
"selected_candidate_index": 6.555555555555555,
|
| 84 |
+
"selected_success": 0.4444444444444444,
|
| 85 |
+
"selected_success_gain_over_base": 0.2777777777777778,
|
| 86 |
+
"selected_utility": 0.9267954412433836,
|
| 87 |
+
"selected_utility_gain_over_base": 0.5343912624650531,
|
| 88 |
+
"selector_regret": 0.8589859737290276,
|
| 89 |
+
"success_selector_gap": 0.4444444444444444,
|
| 90 |
+
"success_support_gap": 0.1111111111111111,
|
| 91 |
+
"support_gap": 0.21421858502758873,
|
| 92 |
+
"tau": 0.4071558583617679
|
| 93 |
+
},
|
| 94 |
+
"StackCube-v1": {
|
| 95 |
+
"base_success": 0.2727272727272727,
|
| 96 |
+
"base_utility": 0.7763947045261209,
|
| 97 |
+
"coverage": 0.09090909090909091,
|
| 98 |
+
"execute_generated": 0.09090909090909091,
|
| 99 |
+
"fallback_rate": 0.9090909090909091,
|
| 100 |
+
"hidden_chart_oracle_success": 1.0,
|
| 101 |
+
"hidden_chart_oracle_utility": 2.0,
|
| 102 |
+
"outcome_ptr": 0.6363636363636364,
|
| 103 |
+
"predicted_margin": 0.2526200167774281,
|
| 104 |
+
"proposal_oracle_success": 0.5151515151515151,
|
| 105 |
+
"proposal_oracle_utility": 1.1567951707225856,
|
| 106 |
+
"selected_candidate_index": 8.333333333333334,
|
| 107 |
+
"selected_success": 0.24242424242424243,
|
| 108 |
+
"selected_success_gain_over_base": -0.030303030303030304,
|
| 109 |
+
"selected_utility": 0.7215423769120014,
|
| 110 |
+
"selected_utility_gain_over_base": -0.05485232761411956,
|
| 111 |
+
"selector_regret": 0.43884577895655774,
|
| 112 |
+
"success_selector_gap": 0.2727272727272727,
|
| 113 |
+
"success_support_gap": 0.48484848484848486,
|
| 114 |
+
"support_gap": 0.8432048292774142,
|
| 115 |
+
"tau": 0.4071558583617682
|
| 116 |
+
}
|
| 117 |
+
}
|
workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_source_envclip_k16_train_to_test/report.md
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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: `0.407156`
|
| 10 |
+
Feature set: `context_source_evidence`
|
| 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 | 0.4838 | 0.5162 | 0.2780 | 0.4404 | 0.5343 | 0.5343 | 0.1733 | 0.1408 |
|
| 18 |
+
| selection | 0.5032 | 0.4968 | 0.2774 | 0.3806 | 0.5419 | 0.5677 | 0.1806 | 0.1935 |
|
| 19 |
+
| eval | 0.4097 | 0.5903 | 0.2917 | 0.3194 | 0.5694 | 0.5486 | 0.2014 | 0.2708 |
|
| 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_context_source_envclip_k16_train_to_test/split_hash.txt
ADDED
|
@@ -0,0 +1,14 @@
|
|
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|
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|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
}
|
workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_source_envclip_k16_train_to_test/table.tex
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
| 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 & 0.4097 & 0.5903 & 0.2917 & 0.3194 & 0.5694 & 0.5486 & 0.2014 & 0.2708 \\
|
| 7 |
+
\bottomrule
|
| 8 |
+
\end{tabular}
|
workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_source_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=0.407156
|
| 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_context_tangent_source_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_context_tangent_source_envclip_k16_train_to_test --feature-set context_tangent_source_evidence --target positive_margin --k 16 --selection-frac 0.35 --seed 0 --bootstrap-samples 1000
|
workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_tangent_source_envclip_k16_train_to_test/config.yaml
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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: context_tangent_source_evidence
|
| 8 |
+
k: 16
|
| 9 |
+
model_types: hgb_classifier,hgb_regressor,rf_regressor
|
| 10 |
+
out_dir: runs/ctt_base_context_obs_nonlinear_dominance_context_tangent_source_envclip_k16_train_to_test
|
| 11 |
+
seed: 0
|
| 12 |
+
selection_frac: 0.35
|
| 13 |
+
source_index: data/cil_charts_rgb_refs/train/index.json
|
| 14 |
+
target: positive_margin
|
workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_tangent_source_envclip_k16_train_to_test/data_hash.txt
ADDED
|
@@ -0,0 +1,7 @@
|
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|
| 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_context_tangent_source_envclip_k16_train_to_test/eval.log
ADDED
|
@@ -0,0 +1,3 @@
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| 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_context_tangent_source_envclip_k16_train_to_test/git_hash.txt
ADDED
|
@@ -0,0 +1 @@
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| 1 |
+
14e81292e2004925f81e0bb4810f6f144bfd87b7
|
workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_tangent_source_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_context_tangent_source_envclip_k16_train_to_test/metrics_by_seed.json
ADDED
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@@ -0,0 +1,2762 @@
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workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_tangent_source_envclip_k16_train_to_test/metrics_by_task.json
ADDED
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@@ -0,0 +1,117 @@
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| 31 |
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"hidden_chart_oracle_success": 1.0,
|
| 32 |
+
"hidden_chart_oracle_utility": 2.0,
|
| 33 |
+
"outcome_ptr": 0.0,
|
| 34 |
+
"predicted_margin": 0.15818628846788504,
|
| 35 |
+
"proposal_oracle_success": 0.0,
|
| 36 |
+
"proposal_oracle_utility": 0.13425676027933756,
|
| 37 |
+
"selected_candidate_index": 5.0,
|
| 38 |
+
"selected_success": 0.0,
|
| 39 |
+
"selected_success_gain_over_base": 0.0,
|
| 40 |
+
"selected_utility": 0.5839591026306152,
|
| 41 |
+
"selected_utility_gain_over_base": 0.0,
|
| 42 |
+
"selector_regret": 0.0,
|
| 43 |
+
"success_selector_gap": 0.0,
|
| 44 |
+
"success_support_gap": 1.0,
|
| 45 |
+
"support_gap": 1.8657432397206624,
|
| 46 |
+
"tau": 0.5485381536364881
|
| 47 |
+
},
|
| 48 |
+
"PullCube-v1": {
|
| 49 |
+
"base_success": 0.36,
|
| 50 |
+
"base_utility": 0.7751704612234608,
|
| 51 |
+
"coverage": 0.22666666666666666,
|
| 52 |
+
"execute_generated": 0.22666666666666666,
|
| 53 |
+
"fallback_rate": 0.7733333333333333,
|
| 54 |
+
"hidden_chart_oracle_success": 0.52,
|
| 55 |
+
"hidden_chart_oracle_utility": 1.1467878860235214,
|
| 56 |
+
"outcome_ptr": 0.4666666666666667,
|
| 57 |
+
"predicted_margin": 0.3899143170919493,
|
| 58 |
+
"proposal_oracle_success": 0.5333333333333333,
|
| 59 |
+
"proposal_oracle_utility": 1.1093241602430741,
|
| 60 |
+
"selected_candidate_index": 7.253333333333333,
|
| 61 |
+
"selected_success": 0.3333333333333333,
|
| 62 |
+
"selected_success_gain_over_base": -0.02666666666666667,
|
| 63 |
+
"selected_utility": 0.7274580267397687,
|
| 64 |
+
"selected_utility_gain_over_base": -0.04771243448369205,
|
| 65 |
+
"selector_regret": 0.4634352721692994,
|
| 66 |
+
"success_selector_gap": 0.24,
|
| 67 |
+
"success_support_gap": 0.02666666666666667,
|
| 68 |
+
"support_gap": 0.1075624164690574,
|
| 69 |
+
"tau": 0.5485381536364877
|
| 70 |
+
},
|
| 71 |
+
"PushCube-v1": {
|
| 72 |
+
"base_success": 0.16666666666666666,
|
| 73 |
+
"base_utility": 0.3924041787783305,
|
| 74 |
+
"coverage": 0.3333333333333333,
|
| 75 |
+
"execute_generated": 0.3333333333333333,
|
| 76 |
+
"fallback_rate": 0.6666666666666666,
|
| 77 |
+
"hidden_chart_oracle_success": 0.8333333333333334,
|
| 78 |
+
"hidden_chart_oracle_utility": 1.7015800600250561,
|
| 79 |
+
"outcome_ptr": 0.8333333333333334,
|
| 80 |
+
"predicted_margin": 0.49115740771529265,
|
| 81 |
+
"proposal_oracle_success": 0.8888888888888888,
|
| 82 |
+
"proposal_oracle_utility": 1.7857814149724112,
|
| 83 |
+
"selected_candidate_index": 5.222222222222222,
|
| 84 |
+
"selected_success": 0.2222222222222222,
|
| 85 |
+
"selected_success_gain_over_base": 0.05555555555555555,
|
| 86 |
+
"selected_utility": 0.5131806466314528,
|
| 87 |
+
"selected_utility_gain_over_base": 0.1207764678531223,
|
| 88 |
+
"selector_regret": 1.2726007683409586,
|
| 89 |
+
"success_selector_gap": 0.6666666666666666,
|
| 90 |
+
"success_support_gap": 0.1111111111111111,
|
| 91 |
+
"support_gap": 0.21421858502758873,
|
| 92 |
+
"tau": 0.548538153636488
|
| 93 |
+
},
|
| 94 |
+
"StackCube-v1": {
|
| 95 |
+
"base_success": 0.2727272727272727,
|
| 96 |
+
"base_utility": 0.7763947045261209,
|
| 97 |
+
"coverage": 0.0,
|
| 98 |
+
"execute_generated": 0.0,
|
| 99 |
+
"fallback_rate": 1.0,
|
| 100 |
+
"hidden_chart_oracle_success": 1.0,
|
| 101 |
+
"hidden_chart_oracle_utility": 2.0,
|
| 102 |
+
"outcome_ptr": 0.6363636363636364,
|
| 103 |
+
"predicted_margin": 0.29436319658773674,
|
| 104 |
+
"proposal_oracle_success": 0.5151515151515151,
|
| 105 |
+
"proposal_oracle_utility": 1.1567951707225856,
|
| 106 |
+
"selected_candidate_index": 7.9393939393939394,
|
| 107 |
+
"selected_success": 0.2727272727272727,
|
| 108 |
+
"selected_success_gain_over_base": 0.0,
|
| 109 |
+
"selected_utility": 0.7763947045261209,
|
| 110 |
+
"selected_utility_gain_over_base": 0.0,
|
| 111 |
+
"selector_regret": 0.38399345134243823,
|
| 112 |
+
"success_selector_gap": 0.24242424242424243,
|
| 113 |
+
"success_support_gap": 0.48484848484848486,
|
| 114 |
+
"support_gap": 0.8432048292774142,
|
| 115 |
+
"tau": 0.5485381536364878
|
| 116 |
+
}
|
| 117 |
+
}
|
workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_tangent_source_envclip_k16_train_to_test/report.md
ADDED
|
@@ -0,0 +1,21 @@
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|
| 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": 80, "max_leaf_nodes": 15, "random_state": 0}`
|
| 9 |
+
Tau: `0.548538`
|
| 10 |
+
Feature set: `context_tangent_source_evidence`
|
| 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 | 0.3430 | 0.6570 | 0.2780 | 0.4477 | 0.5343 | 0.5343 | 0.1733 | 0.1408 |
|
| 18 |
+
| selection | 0.2581 | 0.7419 | 0.2774 | 0.3548 | 0.5419 | 0.5677 | 0.1806 | 0.2258 |
|
| 19 |
+
| eval | 0.2083 | 0.7917 | 0.2917 | 0.2917 | 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_context_tangent_source_envclip_k16_train_to_test/split_hash.txt
ADDED
|
@@ -0,0 +1,14 @@
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|
|
|
| 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 |
+
}
|
workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_tangent_source_envclip_k16_train_to_test/table.tex
ADDED
|
@@ -0,0 +1,8 @@
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|
|
|
|
|
|
|
| 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 & 0.2083 & 0.7917 & 0.2917 & 0.2917 & 0.5694 & 0.5486 & 0.2014 & 0.2986 \\
|
| 7 |
+
\bottomrule
|
| 8 |
+
\end{tabular}
|
workspace/runs/ctt_base_context_obs_nonlinear_dominance_context_tangent_source_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": 80, "max_leaf_nodes": 15, "random_state": 0}
|
| 4 |
+
tau=0.548538
|
| 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_source_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_source_envclip_k16_train_to_test --feature-set source_evidence --target positive_margin --k 16 --selection-frac 0.35 --seed 0 --bootstrap-samples 1000
|
workspace/runs/ctt_base_context_obs_nonlinear_dominance_source_envclip_k16_train_to_test/config.yaml
ADDED
|
@@ -0,0 +1,14 @@
|
|
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|
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|
|
|
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|
|
|
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|
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|
|
|
|
| 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: source_evidence
|
| 8 |
+
k: 16
|
| 9 |
+
model_types: hgb_classifier,hgb_regressor,rf_regressor
|
| 10 |
+
out_dir: runs/ctt_base_context_obs_nonlinear_dominance_source_envclip_k16_train_to_test
|
| 11 |
+
seed: 0
|
| 12 |
+
selection_frac: 0.35
|
| 13 |
+
source_index: data/cil_charts_rgb_refs/train/index.json
|
| 14 |
+
target: positive_margin
|
workspace/runs/ctt_base_context_obs_nonlinear_dominance_source_envclip_k16_train_to_test/data_hash.txt
ADDED
|
@@ -0,0 +1,7 @@
|
|
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|
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|
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|
|
|
|
|
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|
|
|
|
|
|
| 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_source_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_source_envclip_k16_train_to_test/git_hash.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
14e81292e2004925f81e0bb4810f6f144bfd87b7
|
workspace/runs/ctt_base_context_obs_nonlinear_dominance_source_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_source_envclip_k16_train_to_test/metrics_by_seed.json
ADDED
|
@@ -0,0 +1,2762 @@
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|
| 1 |
+
{
|
| 2 |
+
"1073161778/train0": {
|
| 3 |
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"base_success": 1.0,
|
| 4 |
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| 5 |
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| 6 |
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|
| 7 |
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| 8 |
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| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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"selected_candidate_index": 14.0,
|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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"success_selector_gap": 0.0,
|
| 21 |
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"success_support_gap": 0.0,
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| 22 |
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"support_gap": 0.0,
|
| 23 |
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"tau": 0.4506157970058425
|
| 24 |
+
},
|
| 25 |
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"1073161778/train1": {
|
| 26 |
+
"base_success": 1.0,
|
| 27 |
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"base_utility": 2.0,
|
| 28 |
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"coverage": 1.0,
|
| 29 |
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|
| 30 |
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"fallback_rate": 0.0,
|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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"predicted_margin": 0.45104662844987187,
|
| 35 |
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|
| 36 |
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|
| 37 |
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"selected_candidate_index": 9.0,
|
| 38 |
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|
| 39 |
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"selected_success_gain_over_base": -1.0,
|
| 40 |
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"selected_utility": 0.5974581837654114,
|
| 41 |
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"selected_utility_gain_over_base": -1.4025418162345886,
|
| 42 |
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"selector_regret": 1.4025418162345886,
|
| 43 |
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"success_selector_gap": 1.0,
|
| 44 |
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|
| 45 |
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"support_gap": 0.0,
|
| 46 |
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"tau": 0.4506157970058425
|
| 47 |
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},
|
| 48 |
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"1073161778/train2": {
|
| 49 |
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"base_success": 1.0,
|
| 50 |
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"base_utility": 2.0,
|
| 51 |
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"coverage": 0.0,
|
| 52 |
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"execute_generated": 0.0,
|
| 53 |
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"fallback_rate": 1.0,
|
| 54 |
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"hidden_chart_oracle_success": 1.0,
|
| 55 |
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"hidden_chart_oracle_utility": 2.0,
|
| 56 |
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"outcome_ptr": 0.0,
|
| 57 |
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"predicted_margin": 0.3353629259474385,
|
| 58 |
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"proposal_oracle_success": 1.0,
|
| 59 |
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"proposal_oracle_utility": 2.0,
|
| 60 |
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"selected_candidate_index": 14.0,
|
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| 2739 |
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|
| 2740 |
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|
| 2741 |
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|
| 2750 |
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|
| 2751 |
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"selected_candidate_index": 3.5,
|
| 2752 |
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|
| 2753 |
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|
| 2754 |
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|
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"success_selector_gap": 0.25,
|
| 2758 |
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"success_support_gap": 0.0,
|
| 2759 |
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"support_gap": 0.04088494274765253,
|
| 2760 |
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"tau": 0.4506157970058425
|
| 2761 |
+
}
|
| 2762 |
+
}
|
workspace/runs/ctt_base_context_obs_nonlinear_dominance_source_envclip_k16_train_to_test/metrics_by_task.json
ADDED
|
@@ -0,0 +1,117 @@
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|
| 1 |
+
{
|
| 2 |
+
"LiftPegUpright-v1": {
|
| 3 |
+
"base_success": 0.2,
|
| 4 |
+
"base_utility": 0.9498705387115478,
|
| 5 |
+
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|
| 6 |
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|
| 7 |
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"fallback_rate": 0.6666666666666666,
|
| 8 |
+
"hidden_chart_oracle_success": 1.0,
|
| 9 |
+
"hidden_chart_oracle_utility": 2.0,
|
| 10 |
+
"outcome_ptr": 0.5333333333333333,
|
| 11 |
+
"predicted_margin": 0.37097867676062,
|
| 12 |
+
"proposal_oracle_success": 0.6,
|
| 13 |
+
"proposal_oracle_utility": 1.4122399787108104,
|
| 14 |
+
"selected_candidate_index": 11.466666666666667,
|
| 15 |
+
"selected_success": 0.13333333333333333,
|
| 16 |
+
"selected_success_gain_over_base": -0.06666666666666667,
|
| 17 |
+
"selected_utility": 0.7724274098873138,
|
| 18 |
+
"selected_utility_gain_over_base": -0.17744312882423402,
|
| 19 |
+
"selector_regret": 0.640744169553121,
|
| 20 |
+
"success_selector_gap": 0.4666666666666667,
|
| 21 |
+
"success_support_gap": 0.4,
|
| 22 |
+
"support_gap": 0.5877600212891897,
|
| 23 |
+
"tau": 0.4506157970058426
|
| 24 |
+
},
|
| 25 |
+
"PickCube-v1": {
|
| 26 |
+
"base_success": 0.0,
|
| 27 |
+
"base_utility": 0.5839591026306152,
|
| 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 |
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"predicted_margin": 0.13527603025071785,
|
| 35 |
+
"proposal_oracle_success": 0.0,
|
| 36 |
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"proposal_oracle_utility": 0.13425676027933756,
|
| 37 |
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"selected_candidate_index": 7.0,
|
| 38 |
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"selected_success": 0.0,
|
| 39 |
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"selected_success_gain_over_base": 0.0,
|
| 40 |
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"selected_utility": 0.5839591026306152,
|
| 41 |
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| 42 |
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|
| 44 |
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|
| 45 |
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"support_gap": 1.8657432397206624,
|
| 46 |
+
"tau": 0.4506157970058425
|
| 47 |
+
},
|
| 48 |
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"PullCube-v1": {
|
| 49 |
+
"base_success": 0.36,
|
| 50 |
+
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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"hidden_chart_oracle_success": 0.52,
|
| 55 |
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"hidden_chart_oracle_utility": 1.1467878860235214,
|
| 56 |
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"outcome_ptr": 0.4666666666666667,
|
| 57 |
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"predicted_margin": 0.46677946330261333,
|
| 58 |
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"proposal_oracle_success": 0.5333333333333333,
|
| 59 |
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"proposal_oracle_utility": 1.1093241602430741,
|
| 60 |
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"selected_candidate_index": 6.04,
|
| 61 |
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"selected_success": 0.3466666666666667,
|
| 62 |
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| 64 |
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| 66 |
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|
| 67 |
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|
| 68 |
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"support_gap": 0.1075624164690574,
|
| 69 |
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"tau": 0.4506157970058421
|
| 70 |
+
},
|
| 71 |
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"PushCube-v1": {
|
| 72 |
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|
| 73 |
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"base_utility": 0.3924041787783305,
|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
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|
| 84 |
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| 86 |
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|
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|
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"tau": 0.45061579700584253
|
| 93 |
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},
|
| 94 |
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|
| 95 |
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|
| 96 |
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|
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|
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
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|
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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"success_support_gap": 0.48484848484848486,
|
| 114 |
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"support_gap": 0.8432048292774142,
|
| 115 |
+
"tau": 0.4506157970058422
|
| 116 |
+
}
|
| 117 |
+
}
|
workspace/runs/ctt_base_context_obs_nonlinear_dominance_source_envclip_k16_train_to_test/report.md
ADDED
|
@@ -0,0 +1,21 @@
|
|
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|
| 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: `0.450616`
|
| 10 |
+
Feature set: `source_evidence`
|
| 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 | 0.4224 | 0.5776 | 0.2780 | 0.4477 | 0.5343 | 0.5343 | 0.1733 | 0.1372 |
|
| 18 |
+
| selection | 0.4387 | 0.5613 | 0.2774 | 0.3484 | 0.5419 | 0.5677 | 0.1806 | 0.2258 |
|
| 19 |
+
| eval | 0.3333 | 0.6667 | 0.2917 | 0.2917 | 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_source_envclip_k16_train_to_test/split_hash.txt
ADDED
|
@@ -0,0 +1,14 @@
|
|
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|
|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
}
|
workspace/runs/ctt_base_context_obs_nonlinear_dominance_source_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 & 0.3333 & 0.6667 & 0.2917 & 0.2917 & 0.5694 & 0.5486 & 0.2014 & 0.2986 \\
|
| 7 |
+
\bottomrule
|
| 8 |
+
\end{tabular}
|
workspace/runs/ctt_base_context_obs_nonlinear_dominance_source_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=0.450616
|
| 5 |
+
calibration_input=runs/ctt_base_context_obs_train_cal_envclip_k16_rollout_comparison/combined_measured_candidates.json
|