Conjugate Bayesian Latent Dynamics Head / results.json

✓✓ Beats tuned baseline

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  1{
  2  "identity": {
  3    "normal_equation_residual": 2.6645352591003757e-15,
  4    "df_error": 0
  5  },
  6  "leverage": {
  7    "h_near": 0.042913430089507064,
  8    "h_far": 1.5448834832222538,
  9    "predicted_scale_ratio": 2.4401675247425296,
 10    "observed_scale_ratio": 2.4401675247425296
 11  },
 12  "df_sweep": [
 13    [
 14      0,
 15      4,
 16      4
 17    ],
 18    [
 19      2,
 20      6,
 21      6
 22    ],
 23    [
 24      5,
 25      9,
 26      9
 27    ],
 28    [
 29      10,
 30      14,
 31      14
 32    ],
 33    [
 34      20,
 35      24,
 36      24
 37    ],
 38    [
 39      40,
 40      44,
 41      44
 42    ]
 43  ],
 44  "adaptation_rmse_sweep": [
 45    [
 46      1,
 47      0.0926644847958778,
 48      0.013747931755701524
 49    ],
 50    [
 51      2,
 52      0.0885785131670777,
 53      0.016979233505697622
 54    ],
 55    [
 56      5,
 57      0.06306808938211551,
 58      0.01875876014487601
 59    ],
 60    [
 61      10,
 62      0.041014066142435,
 63      0.011570790159773529
 64    ],
 65    [
 66      20,
 67      0.03241866822210989,
 68      0.007779566932841379
 69    ],
 70    [
 71      40,
 72      0.018900882791097556,
 73      0.0057686767810181915
 74    ],
 75    [
 76      80,
 77      0.013145033257511913,
 78      0.0028964357305620377
 79    ]
 80  ],
 81  "shifted_task_nll": [
 82    [
 83      2,
 84      -0.2349365073006741,
 85      75.10518575922715
 86    ],
 87    [
 88      5,
 89      -0.5263842529759978,
 90      4.4991054039809
 91    ],
 92    [
 93      10,
 94      -0.9656839693458696,
 95      0.15654088822686169
 96    ],
 97    [
 98      20,
 99      -1.1038895807539617,
100      -0.9662456866584017
101    ]
102  ],
103  "notes": "Scale ratio uses the same output covariance direction, so it isolates the exact 1+q'K^-1q mechanism. RMSE is posterior mean coefficient error."
104}