Regret-Balanced Adaptive Context / results.json

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 1{
 2  "math": {
 3    "objective_marginal_max_error": 6.661338147750939e-16,
 4    "tail_energy": 0.740303008401197,
 5    "empirical_logistic_KL_over_tail_energy": 0.1247584669317129,
 6    "math_check_pass": true
 7  },
 8  "experiment": {
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10      "cum_logloss": 5135.921434587852,
11      "first_half_logloss": 2549.617172820619,
12      "second_half_logloss": 2586.3042617672336,
13      "mean_active_h": 24.0,
14      "second_half_active_h": 24.0,
15      "inference_ops_relative": 1.0,
16      "wall_seconds": 0.45549295598175377
17    },
18    "fixed_short": {
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20      "first_half_logloss": 2375.1477084936805,
21      "second_half_logloss": 2439.141452716268,
22      "mean_active_h": 4.0,
23      "second_half_active_h": 4.0,
24      "inference_ops_relative": 0.16666666666666666,
25      "wall_seconds": 0.45230394598911516
26    },
27    "adaptive": {
28      "cum_logloss": 5138.303753375891,
29      "first_half_logloss": 2552.0221099763303,
30      "second_half_logloss": 2586.2816433995613,
31      "mean_active_h": 23.651,
32      "second_half_active_h": 23.99142857142857,
33      "inference_ops_relative": 0.9854583333333333,
34      "wall_seconds": 0.6080508150043897
35    }
36  },
37  "settings": {
38    "T": 7000,
39    "H_max": 24,
40    "lambda": 0.012,
41    "confidence_k": 0.08,
42    "seed": 19,
43    "data": "short exponential -> long polynomial abrupt switch"
44  }
45}