nur-dev's picture
Add decision-aware compression and frozen-model diagnostics (part 2)
2d436d4 verified
Raw History Blame Contribute Delete
44.3 kB
{
"status": "Descriptive frozen-checkpoint diagnostics, no refitting",
"normalization_checkpoints": 132,
"normalization": [
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20751",
"model": "additive_diag",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20751",
"model": "additive_full",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20751",
"model": "factorized_classifier",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20751",
"model": "factorized_kernel",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20751",
"model": "factorized_lda",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20751",
"model": "factorized_logistic",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20751",
"model": "factorized_nb",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20751",
"model": "factorized_neural",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20751",
"model": "factorized_ridge",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20751",
"model": "joint_gaussian",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20751",
"model": "joint_neural",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20752",
"model": "additive_diag",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20752",
"model": "additive_full",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20752",
"model": "factorized_classifier",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20752",
"model": "factorized_kernel",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20752",
"model": "factorized_lda",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20752",
"model": "factorized_logistic",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20752",
"model": "factorized_nb",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20752",
"model": "factorized_neural",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20752",
"model": "factorized_ridge",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20752",
"model": "joint_gaussian",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20752",
"model": "joint_neural",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20753",
"model": "additive_diag",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20753",
"model": "additive_full",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20753",
"model": "factorized_classifier",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20753",
"model": "factorized_kernel",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20753",
"model": "factorized_lda",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20753",
"model": "factorized_logistic",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20753",
"model": "factorized_nb",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20753",
"model": "factorized_neural",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20753",
"model": "factorized_ridge",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20753",
"model": "joint_gaussian",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 64,
"fit": "n64_s20753",
"model": "joint_neural",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20751",
"model": "additive_diag",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20751",
"model": "additive_full",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20751",
"model": "factorized_classifier",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20751",
"model": "factorized_kernel",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20751",
"model": "factorized_lda",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20751",
"model": "factorized_logistic",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20751",
"model": "factorized_nb",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20751",
"model": "factorized_neural",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20751",
"model": "factorized_ridge",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20751",
"model": "joint_gaussian",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20751",
"model": "joint_neural",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20752",
"model": "additive_diag",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20752",
"model": "additive_full",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20752",
"model": "factorized_classifier",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20752",
"model": "factorized_kernel",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20752",
"model": "factorized_lda",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20752",
"model": "factorized_logistic",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20752",
"model": "factorized_nb",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20752",
"model": "factorized_neural",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20752",
"model": "factorized_ridge",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20752",
"model": "joint_gaussian",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20752",
"model": "joint_neural",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20753",
"model": "additive_diag",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20753",
"model": "additive_full",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20753",
"model": "factorized_classifier",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20753",
"model": "factorized_kernel",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20753",
"model": "factorized_lda",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20753",
"model": "factorized_logistic",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20753",
"model": "factorized_nb",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20753",
"model": "factorized_neural",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20753",
"model": "factorized_ridge",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20753",
"model": "joint_gaussian",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "hydraulic",
"prefix": 128,
"fit": "n128_s20753",
"model": "joint_neural",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20851",
"model": "additive_diag",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20851",
"model": "additive_full",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20851",
"model": "factorized_classifier",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20851",
"model": "factorized_kernel",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20851",
"model": "factorized_lda",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20851",
"model": "factorized_logistic",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20851",
"model": "factorized_nb",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20851",
"model": "factorized_neural",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20851",
"model": "factorized_ridge",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20851",
"model": "joint_gaussian",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20851",
"model": "joint_neural",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20852",
"model": "additive_diag",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20852",
"model": "additive_full",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20852",
"model": "factorized_classifier",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20852",
"model": "factorized_kernel",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20852",
"model": "factorized_lda",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20852",
"model": "factorized_logistic",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20852",
"model": "factorized_nb",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20852",
"model": "factorized_neural",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20852",
"model": "factorized_ridge",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20852",
"model": "joint_gaussian",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20852",
"model": "joint_neural",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20853",
"model": "additive_diag",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20853",
"model": "additive_full",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20853",
"model": "factorized_classifier",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20853",
"model": "factorized_kernel",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20853",
"model": "factorized_lda",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20853",
"model": "factorized_logistic",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20853",
"model": "factorized_nb",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20853",
"model": "factorized_neural",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20853",
"model": "factorized_ridge",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20853",
"model": "joint_gaussian",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 64,
"fit": "n64_s20853",
"model": "joint_neural",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 64,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20851",
"model": "additive_diag",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20851",
"model": "additive_full",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20851",
"model": "factorized_classifier",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20851",
"model": "factorized_kernel",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20851",
"model": "factorized_lda",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20851",
"model": "factorized_logistic",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20851",
"model": "factorized_nb",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20851",
"model": "factorized_neural",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20851",
"model": "factorized_ridge",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20851",
"model": "joint_gaussian",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20851",
"model": "joint_neural",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20852",
"model": "additive_diag",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20852",
"model": "additive_full",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20852",
"model": "factorized_classifier",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20852",
"model": "factorized_kernel",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20852",
"model": "factorized_lda",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20852",
"model": "factorized_logistic",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20852",
"model": "factorized_nb",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20852",
"model": "factorized_neural",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20852",
"model": "factorized_ridge",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20852",
"model": "joint_gaussian",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20852",
"model": "joint_neural",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20853",
"model": "additive_diag",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20853",
"model": "additive_full",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20853",
"model": "factorized_classifier",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20853",
"model": "factorized_kernel",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20853",
"model": "factorized_lda",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20853",
"model": "factorized_logistic",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20853",
"model": "factorized_nb",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20853",
"model": "factorized_neural",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20853",
"model": "factorized_ridge",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20853",
"model": "joint_gaussian",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
},
{
"cohort": "temperature",
"prefix": 128,
"fit": "n128_s20853",
"model": "joint_neural",
"maximum_mean_error": 0.0,
"maximum_scale_error": 0.0,
"normalization_records": 128,
"additional_unlabeled_records": 0
}
],
"episode_accounting": {
"temperature": {
"retained": 1212,
"source": 680,
"target": 404,
"excluded_source_bindings": 128,
"per_day": [
{
"day": 0,
"retained": 101,
"source": 85,
"excluded_source_bindings": 16,
"target": 0
},
{
"day": 1,
"retained": 101,
"source": 85,
"excluded_source_bindings": 16,
"target": 0
},
{
"day": 3,
"retained": 101,
"source": 85,
"excluded_source_bindings": 16,
"target": 0
},
{
"day": 4,
"retained": 101,
"source": 85,
"excluded_source_bindings": 16,
"target": 0
},
{
"day": 5,
"retained": 101,
"source": 85,
"excluded_source_bindings": 16,
"target": 0
},
{
"day": 6,
"retained": 101,
"source": 85,
"excluded_source_bindings": 16,
"target": 0
},
{
"day": 7,
"retained": 101,
"source": 85,
"excluded_source_bindings": 16,
"target": 0
},
{
"day": 8,
"retained": 101,
"source": 85,
"excluded_source_bindings": 16,
"target": 0
},
{
"day": 9,
"retained": 101,
"source": 0,
"excluded_source_bindings": 0,
"target": 101
},
{
"day": 10,
"retained": 101,
"source": 0,
"excluded_source_bindings": 0,
"target": 101
},
{
"day": 11,
"retained": 101,
"source": 0,
"excluded_source_bindings": 0,
"target": 101
},
{
"day": 12,
"retained": 101,
"source": 0,
"excluded_source_bindings": 0,
"target": 101
}
]
}
},
"frozen_hydraulic_fits": [
{
"seed": 20751,
"labels": 64,
"nested_prefix": true,
"observed_bindings": 26,
"factor_level_counts": [
[
33,
13,
18
],
[
11,
4,
4,
45
],
[
47,
12,
5
],
[
21,
5,
9,
29
]
],
"training_mean_squared_error": 0.02367979117694251,
"unseen_true_mean_squared_error": 0.5997057278629763,
"covariance_trace": 17.43344901602776,
"covariance_minimum_eigenvalue": 0.05739901318798173,
"covariance_maximum_eigenvalue": 6.315551850176264,
"covariance_condition_number": 110.02892731784142
},
{
"seed": 20751,
"labels": 128,
"nested_prefix": true,
"observed_bindings": 42,
"factor_level_counts": [
[
55,
33,
40
],
[
18,
11,
10,
89
],
[
91,
21,
16
],
[
47,
12,
17,
52
]
],
"training_mean_squared_error": 0.053583764796448906,
"unseen_true_mean_squared_error": 0.6125039261936132,
"covariance_trace": 13.87289919001689,
"covariance_minimum_eigenvalue": 0.07162648481483318,
"covariance_maximum_eigenvalue": 3.1715181103770758,
"covariance_condition_number": 44.27856704926952
},
{
"seed": 20752,
"labels": 64,
"nested_prefix": true,
"observed_bindings": 25,
"factor_level_counts": [
[
21,
18,
25
],
[
14,
6,
4,
40
],
[
45,
7,
12
],
[
32,
8,
8,
16
]
],
"training_mean_squared_error": 0.03140128525676714,
"unseen_true_mean_squared_error": 0.4653002604726983,
"covariance_trace": 22.0346961059301,
"covariance_minimum_eigenvalue": 0.06696879056588788,
"covariance_maximum_eigenvalue": 7.762246737239112,
"covariance_condition_number": 115.90842049927946
},
{
"seed": 20752,
"labels": 128,
"nested_prefix": true,
"observed_bindings": 42,
"factor_level_counts": [
[
49,
39,
40
],
[
19,
14,
9,
86
],
[
88,
16,
24
],
[
58,
13,
15,
42
]
],
"training_mean_squared_error": 0.03783458443596282,
"unseen_true_mean_squared_error": 1.2600410920951945,
"covariance_trace": 17.8695845905968,
"covariance_minimum_eigenvalue": 0.06545482351970419,
"covariance_maximum_eigenvalue": 4.605087997769548,
"covariance_condition_number": 70.35521219277683
},
{
"seed": 20753,
"labels": 64,
"nested_prefix": true,
"observed_bindings": 28,
"factor_level_counts": [
[
30,
20,
14
],
[
8,
4,
10,
42
],
[
45,
14,
5
],
[
24,
2,
8,
30
]
],
"training_mean_squared_error": 0.012641552052452425,
"unseen_true_mean_squared_error": 0.7462177528139282,
"covariance_trace": 12.192642999184532,
"covariance_minimum_eigenvalue": 0.06543886036464297,
"covariance_maximum_eigenvalue": 3.559736913051131,
"covariance_condition_number": 54.39790505542605
},
{
"seed": 20753,
"labels": 128,
"nested_prefix": true,
"observed_bindings": 43,
"factor_level_counts": [
[
57,
36,
35
],
[
12,
13,
17,
86
],
[
89,
20,
19
],
[
47,
6,
16,
59
]
],
"training_mean_squared_error": 0.037225275322588916,
"unseen_true_mean_squared_error": 0.5737290331718247,
"covariance_trace": 8.71921822205605,
"covariance_minimum_eigenvalue": 0.06774689962892998,
"covariance_maximum_eigenvalue": 1.7037279035623134,
"covariance_condition_number": 25.148426169967045
}
],
"crossed_mean_covariance": [
{
"seed": 20751,
"mean_labels": 64,
"covariance_labels": 64,
"top3": 0.49671052631578944,
"hypothesis_log_loss": 4.78501190886201
},
{
"seed": 20751,
"mean_labels": 64,
"covariance_labels": 128,
"top3": 0.4276315789473684,
"hypothesis_log_loss": 7.845058010186592
},
{
"seed": 20751,
"mean_labels": 128,
"covariance_labels": 64,
"top3": 0.37502316530763524,
"hypothesis_log_loss": 24.282667911422838
},
{
"seed": 20751,
"mean_labels": 128,
"covariance_labels": 128,
"top3": 0.3881578947368421,
"hypothesis_log_loss": 9.464254879777195
},
{
"seed": 20752,
"mean_labels": 64,
"covariance_labels": 64,
"top3": 0.5361842105263157,
"hypothesis_log_loss": 3.1216157914391913
},
{
"seed": 20752,
"mean_labels": 64,
"covariance_labels": 128,
"top3": 0.3651315789473684,
"hypothesis_log_loss": 4.939060479838987
},
{
"seed": 20752,
"mean_labels": 128,
"covariance_labels": 64,
"top3": 0.187546006624954,
"hypothesis_log_loss": 20.269568238138664
},
{
"seed": 20752,
"mean_labels": 128,
"covariance_labels": 128,
"top3": 0.23684210526315788,
"hypothesis_log_loss": 11.53079470441884
},
{
"seed": 20753,
"mean_labels": 64,
"covariance_labels": 64,
"top3": 0.37171052631578944,
"hypothesis_log_loss": 7.472623251779949
},
{
"seed": 20753,
"mean_labels": 64,
"covariance_labels": 128,
"top3": 0.28618421052631576,
"hypothesis_log_loss": 15.002631533766795
},
{
"seed": 20753,
"mean_labels": 128,
"covariance_labels": 64,
"top3": 0.42105263157894735,
"hypothesis_log_loss": 8.067365894147112
},
{
"seed": 20753,
"mean_labels": 128,
"covariance_labels": 128,
"top3": 0.35526315789473684,
"hypothesis_log_loss": 13.183482361708712
}
]
}