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2026-09-25 · Covariate encoders and spatial sharing with reporting gaps

Best models by season

Top three configurations by the reported combined score (all configurations if fewer than three). Season columns are seed means. Lower is better; 1 is the matched Hub ensemble.

Model 2023-2024 2024-2025 2025-2026 Combined
C1 1.0194 0.8784 1.2102 1.0360
C2 0.9559 0.9207 1.2710 1.0492
C3 0.9890 0.8754 1.3246 1.0630
Hub ensemble 1.0000 1.0000 1.0000 1.0000
B0 reference 1.0179 0.7485 0.9003 0.8889

C1–C3 refer to the full ranking below. B0 is the reproduced stage09 reference, averaged over these same seasons and its three seeds. B0 uses finalized target histories and a different training recipe and forecast sample count; this is a reference comparison, not a matched intervention or a claim of significance.

Protocol

189 runs, 63 configurations, seeds 42, 43, 44. Ranking ranking-e53fd92c4f32: US weight 0.2, admissions 1.0, ED 0.5. Lower WIS ratio is better; 1 = hub ensemble. Figures, table and appendix are regenerated by planner rank; C<k> labels are ranking positions, see the appendix.

Season splits

cv-layout-es3-16-4

cv-layout-es3-16-4

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Findings

Write-up

Completed 2026-09-25: all 189 runs, 63 configurations, three seeds and three held-out seasons. The best configuration is the independent-location pathogen MLP with compact summaries of the mixed covariate bundle. It improves on its no-covariate control in all three seeds, but does not beat the Hub ensemble overall. The main practical result is to keep simple covariate processing and avoid adding geographic attention by default.

Follow-up: removing artificial masking mostly hurt

All 96 follow-up runs completed: 32 selected formulations × three seeds. These were the top half of the original 63-formulation ranking. Every new run uses the same pinned model code, data hashes, seeds, scoring support and training settings as its counterpart, except mask_rate=0.5 becomes mask_rate=0. Wednesday reporting availability remains unchanged.

Removing artificial masking worsened the three-seed mean for 29 of 32 formulations. Only 18 of 96 paired seeds improved, and 16 formulations worsened in all three seeds. Across these selected formulations, the mean seed-paired relative WIS change was +6.0% (median across formulations +5.4%); positive means removing masking made the score worse.

Formulation With artificial masking Without Paired WIS change on removal Seeds improved by removal
Independent, mixed summaries 1.036 1.121 +8.2% 0/3
Independent, new flu sources smoothed 1.049 1.115 +6.3% 0/3
Independent, Kinsa summaries 1.063 1.208 +13.8% 0/3
Pooled, claims summaries 1.067 1.109 +4.1% 1/3
Independent, claims smoothed 1.071 1.096 +2.2% 1/3
Independent, no covariates 1.124 1.101 −1.8% 2/3
Attention, no covariates 1.119 1.127 +1.9% 1/3

The percentages are means of seedwise ratios, not ratios of the displayed means; this distinction matters when a control has large seed variation. Formulations are counted as improved when their mean WIS decreases. The three improved means are independent/no covariates, attention/claims summaries, and attention/new flu shared encoder. The latter's gain is approximately 0.1%, too small to treat as a compelling result from three seeds.

The original leader remains the model to keep

Mixed summaries without artificial masking get worse both for states/DC (+7.8%) and native US (+9.7%), with all three seeds worsening in each. Its three-seed mean worsens in every held-out season:

Season Masked mixed summaries No-mask mixed summaries
2023–24 1.019 1.082
2024–25 0.878 0.991
2025–26 1.210 1.289

The best no-mask mean is independent/smoothed claims at 1.096 ± 0.065 seed SD. It is only 0.5% better than the new no-covariate control in the paired comparison (two of three seeds improve), and it is worse than its own masked version, 1.071. None of the 32 no-mask configuration means beats the Hub ensemble. The masked mixed-summary model remains the overall leader at 1.036.

Removing masking also worsened the leading models' interval coverage. Under the same location/target/season weights, nominal 95% coverage changed:

  • Mixed summaries: 84.0% → 81.7%.
  • Smoothed new flu sources: 84.6% → 80.0%.
  • Kinsa summaries: 85.2% → 81.7%.

Thus the better coverage under masking is not just accompanied by an inferior WIS tradeoff: the masked versions are better on both measures for these leaders. All remain undercovered relative to 95%.

Paired fan plots, directly on this page

These compare the same mixed-summary formulation and seed 42, with and without artificial masking, against the Hub ensemble. The selected seed is fixed, not chosen for looking good. Bands are 50% and 90%; the coverage statistics above refer to separately scored 95% intervals. US and North Carolina illustrate behavior; the numerical conclusions use all scored locations and all three seeds.

What this changes in the interpretation

Keep artificial masking for the current leading covariate formulations. The result is consistent with masking acting as useful regularization or encouraging use of covariates when target histories are incomplete. This experiment cannot distinguish those mechanisms. Its effect is conditional: the no-covariate independent model improves slightly without masking.

Artificial masking is not the main explanation supported by this experiment for losing the old B0 performance. Removing it does not restore B0; even the unmasked no-covariate control scores 1.101. Full finalized target-history availability versus Wednesday masks, the changed panel, and exact B0 recipe reproduction remain separate unresolved comparisons. We should not switch back to blaming natural reporting gaps: the scored-date availability audit below already shows most latest targets are present.

Selection limits the conclusion. We deliberately reran the best half under masking, so this comparison favors formulations selected for doing well in that condition. It is not an unbiased estimate of masking's effect over all 63 models, and the 96 paired seeds are not 96 independent epidemiological datasets. The consistent deterioration of the three prior leaders supports retaining their current settings; a universal claim that masking always helps would be unjustified. No new training or calibration was launched for this analysis.

Evidence: 32 matched configuration comparisons, 96 paired seeds by geography, season comparisons, coverage, and comparison provenance. Ranking ranking-981191c4dc56 was generated in patron-node report job 2466709. Every matched seed was checked for identical frozen target/season/location/horizon support, and identical dataset/population/frozen-manifest hashes and evaluation member count. Early stopping is unchanged but may select different epochs when masking changes; that is part of the training-procedure comparison.

Reproduce status and ranking on Longleaf:

.venv/bin/python -m tapestry.experiment.planner status -e forecast-no-mask-top32-v3
.venv/bin/python -m tapestry.experiment.planner rank -e forecast-no-mask-top32-v3

B0 comparison and reporting availability

This is not a matched reproduction of B0. B0 had finalized target histories without the historical Wednesday publication mask and without the added 50% artificial masking. This screen masks targets as well as covariates and uses a different training recipe. That changes the forecasting task. We have not isolated the cause of the difference from B0's 0.883–0.895 results.

A scored-support audit found that most scored target histories contain the latest week: all admissions in 2025–26 and approximately 95–99% of ED cells. Broad full-calendar missingness does not establish the cause of the B0 score difference. The completed no-artificial-mask follow-up above isolates that change; it mostly worsened the selected models.

A previous Saturday's wastewater value absent from the Wednesday snapshot is unavailable even if final truth now exists. Smoothing can use older reports, never the withheld value. A separately trained nowcaster was not used here.

Leading results

Lower relative WIS is better; 1 is Hub ensemble parity. “Paired improvement” is the mean of 100 × (1 − model/control) over matched seeds, using the control with the same geography. It is not the percentage computed from the two displayed means. SD describes variation across three seeds, not a confidence interval.

Model Relative WIS, mean ± seed SD Paired improvement Seeds improved
Independent, no covariates 1.124 ± 0.062 — —
Independent, mixed summaries 1.036 ± 0.030 7.6% 3/3
Independent, new flu sources smoothed 1.049 ± 0.038 6.6% 3/3
Independent, Kinsa summaries 1.063 ± 0.025 5.3% 3/3
Pooled geography, claims summaries 1.067 ± 0.039 9.5% versus pooled control 3/3
Independent, claims smoothed 1.071 ± 0.035 4.4% 2/3

The pooled control is weaker (1.181), so its larger percentage improvement does not make it the better final model. The winning mean remains 3.6% worse than the Hub ensemble under this score; all three winning-model seeds exceed 1.

1. The original “covariates do not help” conclusion was too broad

For the independent-location model, the raw mixed bundle scores 1.125, essentially unchanged from the 1.124 control. Summarizing exactly that bundle gives 1.036. The mixed bundle contains claims, new ILINet/clinical-lab/FluSurv inputs, wastewater WVAL-like indices and Kinsa. Its parameter count falls from 152,259 to 114,243 across the three pathogen models—a 25% reduction. The control has 101,571.

This is consistent with the concern that a long raw covariate history is a poor representation for this dataset. It does not establish excess parameters as the cause: the summaries also change the statistics and transform the values. The learned bottleneck is not a general cure: mixed/shared scores 1.140 despite being compact. Smoothing the new flu bundle is excellent without reducing its parameter count. Useful inductive structure matters more here than compression alone.

Across the 15 geography/bundle pairs, smoothing and summaries each beat raw inputs in 9; the learned encoder does so in 7. None is uniformly superior. Claims summaries, for example, are poor without pooling even though mixed summaries win.

2. The new Delphi sources and national Kinsa are worth retaining

The three new flu sources with smoothing improve overall WIS by 6.6%, with improvement in every seed. They improve both states/DC (5.3%) and US (11.2%). These are bundle results; the experiment does not identify whether ILINet, clinical-lab positivity or FluSurv drives the gain.

Kinsa summaries improve overall WIS by 5.3%. Broadcasting the national series allows a 5.1% state/DC improvement, in all three seeds, despite the absence of learned spatial exchange. Its US improvement is 6.0%, but only two of three seeds improve there. Raw Kinsa alone (1.128) does not improve the independent control.

The winning mixed-summary model improves states/DC by 6.7% and US by 11.0%, with all three seeds improving in each geography. National gains are therefore not merely hiding worse state forecasts. We cannot attribute the mixed model's gain to any single source without leave-one-source-out comparisons.

Wastewater alone is less compelling: raw inputs score 1.191, summaries 1.100; the summary arm improves on the control in two seeds, but trails the other leaders. There is not enough evidence here to call wastewater useless or to credit it for the mixed model's improvement.

3. More geographic sharing usually made things worse

The no-covariate means are 1.124 (independent), 1.181 (pooled) and 1.119 (attention). Attention's tiny mean advantage comes with much larger seed SD: 0.146 versus 0.062 for the independent control.

Keeping bundle and representation matched, attention wins only 5/21 comparisons and pooling only 4/21. The best attention arm, raw Kinsa, scores 1.079; only one seed improves against its attention control. The mixed-summary winner deteriorates from 1.036 to 1.210 with attention. Pooling plus claims summaries is a useful exception, but does not surpass the best independent model.

This screen does not support the hypothesis that covariates generally need nationwide attention to become useful. It tests equal-state context pooling and all-location attention, not adjacency, distance-based structure, regional models or population-weighted pooling. Kinsa is a national input even in the independent architecture, so “independent” does not mean “without national information.”

4. There are remaining season and calibration weaknesses

Model 2023–24 2024–25 2025–26
Independent, no covariates 1.077 0.966 1.329
Mixed summaries 1.019 0.878 1.210
New flu sources smoothed 0.956 0.921 1.271
Kinsa summaries 0.989 0.875 1.325

Mixed summaries improve the mean in all three seasons, although not every seed-season pair improves. Kinsa contributes almost no mean improvement in 2025–26. The new flu bundle is particularly good in 2023–24, when the benchmark supports only flu admissions.

The seasons do not contain the same scored targets: 2023–24 has flu admissions; 2024–25 has flu and COVID admissions; 2025–26 has all six targets. Therefore the higher last-season score cannot be interpreted purely as a temporal failure. COVID ED is a conspicuous weakness: the mixed-summary model's relative WIS is 2.157 on that target. Its flu admissions score is 0.967, COVID admissions 1.100, RSV admissions 1.001, flu ED 1.187 and RSV ED 0.894. These target scores use their available seasons and should not be averaged to reconstruct the combined score.

The best model's nominal 95% intervals cover only 84.0% under the same location/target/season weighting; the control covers 85.0% and the ensemble 90.7%. Better WIS has not resolved undercoverage. Calibration and COVID ED diagnostics are more justified next steps than increasing geographic complexity.

What to take forward

  1. Use independent-location mixed summaries as the primary candidate and smoothed new flu sources as the simpler alternative.
  2. Keep Kinsa summaries as a compact national-signal comparator.
  3. Confirm these shortlisted models on a genuinely new evaluation period before declaring a winner. Three seeds measure optimization variability, not three independent epidemiological replications; selecting among 63 configurations on these same folds introduces selection optimism.
  4. Examine COVID ED errors and interval calibration. Any calibration parameters must be fitted outside the final evaluation data.
  5. If further source attribution is needed, drop one group at a time from the winning mixed representation. These runs were not a factorial source-ablation study and cannot separate individual source effects.

No further training or calibration was launched for this report.

Ensemble-support audit

A direct audit of the original leading model (seed 42) verified 56,662 scored forecast cells across nine target/season cases. Every scored cell has both a model forecast and the named official Hub ensemble forecast, matched on reference date, target-end date, location and horizon within its target/season. There are zero missing ensemble rows, zero missing model rows, zero duplicate ensemble keys and zero truth mismatches. Both forecasts use the same frozen observed value and 23-quantile grid. The model's extra predictions outside ensemble support are excluded. No ensemble forecast is imputed. Horizon 0 ends on the reference Saturday; the model's context ends one week before that Saturday.

This audit checks the saved benchmark, not every historical upstream submission. Within each saved case, frozen units exactly equal the available ensemble rows. The shared scorer applies the same matching requirements to every fitted run and raises on missing or duplicate forecast tasks. Earlier ranking checks also verified identical support across all runs. This rules out scoring model-only weeks as an explanation for the current comparison; it does not by itself prove equivalence to the old B0 training/data protocol. Both forecasts are scored against frozen benchmark truth, which need not equal the most recently rebuilt training panel.

Per-case support counts · Audit record. The shared scorer verifies frozen support for each ranking.

Reproduction

Use planner status -e forecast-geography-v2 to inspect completed runs and planner rank -e forecast-geography-v2 for canonical scoring, matched comparisons, plots and report regeneration. Saved evidence accompanies this report. See Workflow for methods and commands.

Forecast fans

Fan plots: the three leading models

Shown directly below: the Hub ensemble, mixed covariate summaries, smoothed new flu covariates, and Kinsa summaries. The models were selected by three-seed mean WIS; all fans use seed 42, not the best seed. Black curves are final truth; fans show medians and 50%/90% intervals at four-week reference intervals. The native US and North Carolina are shown; these are illustrative locations, not substitutes for all-location scores. Hub fans appear only where benchmark support exists.

US admissions

US ED proportions

North Carolina admissions

North Carolina ED proportions

fans-US-hosp

fans-US-hosp

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fans-US-ed

fans-US-ed

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fans-NC-hosp

fans-NC-hosp

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fans-NC-ed

fans-NC-ed

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US admissions: Hub ensemble and three leading models

US admissions: Hub ensemble and three leading models

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US ED proportions: Hub ensemble and three leading models

US ED proportions: Hub ensemble and three leading models

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North Carolina admissions: Hub ensemble and three leading models

North Carolina admissions: Hub ensemble and three leading models

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North Carolina ED proportions: Hub ensemble and three leading models

North Carolina ED proportions: Hub ensemble and three leading models

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Score diagnostics

dotplot

dotplot

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heatmap-C1

heatmap-C1

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Paired artificial-masking comparison for all 32 formulations

Paired artificial-masking comparison for all 32 formulations

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US admissions: original leader with and without artificial masking

US admissions: original leader with and without artificial masking

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US ED: original leader with and without artificial masking

US ED: original leader with and without artificial masking

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North Carolina admissions: original leader with and without artificial masking

North Carolina admissions: original leader with and without artificial masking

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North Carolina ED: original leader with and without artificial masking

North Carolina ED: original leader with and without artificial masking

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Leading models and individual seeds

Leading models and individual seeds

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Covariate effects against matched controls

Covariate effects against matched controls

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State and DC effects

State and DC effects

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US effects

US effects

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Leading models across seasons

Leading models across seasons

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Matched comparisons

No known result or figure.

Full ranking

Ranking

Label Configuration Seeds Combined States/DC US wk inc flu hosp wk inc covid hosp wk inc rsv hosp wk inc flu prop ed visits wk inc covid prop ed visits wk inc rsv prop ed visits
C1 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv,input_mode=finalized_available 3 1.036 ± 0.030 1.028 1.067 0.967 1.100 1.001 1.187 2.157 0.894
C2 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=ilinet+clinical_lab+flusurv,input_mode=finalized_available 3 1.049 ± 0.038 1.045 1.067 0.974 1.176 1.080 1.127 2.114 1.084
C3 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=kinsa,input_mode=finalized_available 3 1.063 ± 0.025 1.047 1.126 0.978 1.197 1.000 1.161 2.728 0.854
C4 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=inpatient+outpatient,input_mode=finalized_available 3 1.067 ± 0.039 1.051 1.128 0.979 1.151 1.116 1.262 2.139 1.274
C5 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=inpatient+outpatient,input_mode=finalized_available 3 1.071 ± 0.035 1.063 1.105 1.000 1.142 1.242 1.202 1.959 0.938
C6 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=ilinet+clinical_lab+flusurv,input_mode=finalized_available 3 1.076 ± 0.028 1.068 1.107 0.990 1.095 1.228 1.323 1.498 1.211
C7 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv,input_mode=finalized_available 3 1.076 ± 0.041 1.067 1.113 1.024 1.128 1.258 1.284 2.093 0.967
C8 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=kinsa,input_mode=finalized_available 3 1.079 ± 0.031 1.062 1.149 0.964 1.173 1.082 1.229 2.675 1.071
C9 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=ilinet+clinical_lab+flusurv,input_mode=finalized_available 3 1.080 ± 0.049 1.071 1.118 1.021 1.155 1.153 1.189 1.911 0.935
C10 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=kinsa,input_mode=finalized_available 3 1.084 ± 0.028 1.070 1.141 1.012 1.121 0.912 1.249 2.229 0.952
C11 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=ww_wval_like,input_mode=finalized_available 3 1.093 ± 0.036 1.081 1.142 0.978 1.164 1.263 1.232 2.492 1.428
C12 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=kinsa,input_mode=finalized_available 3 1.095 ± 0.018 1.081 1.153 1.027 1.168 1.057 1.228 2.591 0.972
C13 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=ilinet+clinical_lab+flusurv,input_mode=finalized_available 3 1.100 ± 0.045 1.090 1.140 0.976 1.254 1.295 1.223 2.141 1.291
C14 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=ww_wval_like,input_mode=finalized_available 3 1.100 ± 0.038 1.085 1.158 1.033 1.165 1.029 1.315 2.185 1.023
C15 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=inpatient+outpatient,input_mode=finalized_available 3 1.107 ± 0.060 1.095 1.158 1.026 1.155 1.180 1.264 2.079 1.102
C16 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=ilinet+clinical_lab+flusurv,input_mode=finalized_available 3 1.110 ± 0.050 1.097 1.163 1.074 1.095 1.061 1.368 1.714 0.913
C17 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=ilinet+clinical_lab+flusurv,input_mode=finalized_available 3 1.112 ± 0.061 1.101 1.155 1.036 1.087 1.432 1.266 1.670 1.329
C18 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=ww_wval_like,input_mode=finalized_available 3 1.116 ± 0.079 1.104 1.162 1.031 1.209 1.241 1.189 2.354 1.142
C19 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=ilinet+clinical_lab+flusurv,input_mode=finalized_available 3 1.117 ± 0.066 1.103 1.175 1.056 1.179 1.231 1.299 1.613 1.360
C20 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,input_mode=finalized_available 3 1.119 ± 0.146 1.100 1.193 1.041 1.152 1.015 1.321 2.234 0.854
C21 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv,input_mode=finalized_available 3 1.121 ± 0.043 1.110 1.163 1.055 1.190 1.131 1.284 1.784 0.998
C22 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,input_mode=finalized_available 3 1.124 ± 0.062 1.104 1.204 0.982 1.251 1.216 1.180 2.450 1.022
C23 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=ww_wval_like,input_mode=finalized_available 3 1.125 ± 0.091 1.092 1.256 1.043 1.145 1.177 1.296 1.831 1.214
C24 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv,input_mode=finalized_available 3 1.125 ± 0.060 1.121 1.140 1.071 1.140 1.228 1.271 2.032 1.037
C25 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=ww_wval_like,input_mode=finalized_available 3 1.127 ± 0.059 1.113 1.182 1.033 1.140 1.229 1.187 2.278 1.404
C26 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=kinsa,input_mode=finalized_available 3 1.128 ± 0.014 1.111 1.196 1.008 1.267 1.287 1.267 2.719 1.062
C27 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=kinsa,input_mode=finalized_available 3 1.128 ± 0.049 1.102 1.234 1.000 1.216 1.185 1.256 2.645 1.177
C28 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=ilinet+clinical_lab+flusurv,input_mode=finalized_available 3 1.129 ± 0.061 1.131 1.123 1.024 1.230 1.412 1.131 2.297 1.269
C29 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=inpatient+outpatient,input_mode=finalized_available 3 1.132 ± 0.040 1.108 1.227 1.023 1.197 1.262 1.127 2.354 1.149
C30 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=ilinet+clinical_lab+flusurv,input_mode=finalized_available 3 1.134 ± 0.045 1.126 1.165 1.079 1.139 1.173 1.334 1.781 1.009
C31 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=inpatient+outpatient,input_mode=finalized_available 3 1.134 ± 0.048 1.107 1.240 1.034 1.178 1.110 1.234 2.216 0.973
C32 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=kinsa,input_mode=finalized_available 3 1.134 ± 0.017 1.114 1.213 1.020 1.266 1.287 1.267 2.719 1.062
C33 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv,input_mode=finalized_available 3 1.140 ± 0.060 1.120 1.223 1.053 1.151 1.230 1.185 2.238 1.336
C34 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=inpatient+outpatient,input_mode=finalized_available 3 1.142 ± 0.063 1.123 1.217 1.063 1.229 0.974 1.266 2.622 0.804
C35 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=ww_wval_like,input_mode=finalized_available 3 1.144 ± 0.026 1.123 1.227 1.031 1.204 1.286 1.250 2.852 1.086
C36 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=kinsa,input_mode=finalized_available 3 1.151 ± 0.062 1.125 1.257 1.085 1.162 1.186 1.325 1.790 1.216
C37 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv,input_mode=finalized_available 3 1.154 ± 0.021 1.136 1.227 1.050 1.159 1.256 1.331 2.241 1.287
C38 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=kinsa,input_mode=finalized_available 3 1.154 ± 0.039 1.125 1.272 1.091 1.140 1.107 1.296 1.879 0.997
C39 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv,input_mode=finalized_available 3 1.156 ± 0.031 1.139 1.223 1.069 1.217 1.286 1.286 1.760 1.309
C40 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=kinsa,input_mode=finalized_available 3 1.161 ± 0.107 1.131 1.283 1.011 1.284 1.120 1.210 2.904 1.062
C41 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=ilinet+clinical_lab+flusurv,input_mode=finalized_available 3 1.162 ± 0.037 1.144 1.234 1.090 1.106 1.172 1.345 2.207 1.143
C42 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=ww_wval_like,input_mode=finalized_available 3 1.164 ± 0.114 1.123 1.329 1.086 1.136 1.178 1.367 1.834 1.140
C43 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv,input_mode=finalized_available 3 1.166 ± 0.064 1.149 1.234 1.103 1.152 1.161 1.416 1.904 1.207
C44 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=inpatient+outpatient,input_mode=finalized_available 3 1.178 ± 0.073 1.157 1.260 1.063 1.162 1.304 1.346 1.900 1.224
C45 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=ww_wval_like,input_mode=finalized_available 3 1.180 ± 0.141 1.159 1.260 1.102 1.131 1.106 1.213 2.214 1.087
C46 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,input_mode=finalized_available 3 1.181 ± 0.046 1.151 1.298 1.104 1.106 1.286 1.258 1.776 1.034
C47 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=ilinet+clinical_lab+flusurv,input_mode=finalized_available 3 1.181 ± 0.101 1.158 1.272 1.099 1.131 1.048 1.128 1.993 0.842
C48 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv,input_mode=finalized_available 3 1.184 ± 0.160 1.155 1.300 1.117 1.086 1.231 1.278 1.896 1.027
C49 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=inpatient+outpatient,input_mode=finalized_available 3 1.184 ± 0.118 1.183 1.190 1.111 1.164 1.271 1.398 1.671 1.155
C50 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=ww_wval_like,input_mode=finalized_available 3 1.191 ± 0.064 1.161 1.311 1.093 1.191 1.333 1.253 2.865 1.135
C51 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv,input_mode=finalized_available 3 1.196 ± 0.134 1.178 1.265 1.129 1.147 1.150 1.254 1.818 0.945
C52 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=kinsa,input_mode=finalized_available 3 1.208 ± 0.004 1.171 1.355 1.154 1.161 1.125 1.292 1.792 1.169
C53 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv,input_mode=finalized_available 3 1.210 ± 0.096 1.186 1.309 1.134 1.138 1.058 1.154 2.169 0.985
C54 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=inpatient+outpatient,input_mode=finalized_available 3 1.219 ± 0.154 1.203 1.283 1.162 1.128 1.311 1.370 1.813 1.088
C55 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=ww_wval_like,input_mode=finalized_available 3 1.228 ± 0.091 1.193 1.369 1.182 1.138 1.122 1.317 1.644 1.096
C56 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=ww_wval_like,input_mode=finalized_available 3 1.229 ± 0.103 1.172 1.454 1.164 1.153 1.145 1.286 1.582 1.100
C57 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=inpatient+outpatient,input_mode=finalized_available 3 1.235 ± 0.178 1.212 1.327 1.113 1.162 1.355 1.209 1.814 1.372
C58 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=kinsa,input_mode=finalized_available 3 1.253 ± 0.139 1.199 1.471 1.173 1.121 1.257 1.315 1.594 1.161
C59 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv,input_mode=finalized_available 3 1.263 ± 0.213 1.247 1.327 1.177 1.121 1.279 1.233 1.558 1.361
C60 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=inpatient+outpatient,input_mode=finalized_available 3 1.286 ± 0.352 1.281 1.306 1.125 1.207 1.386 1.266 2.182 1.355
C61 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=ilinet+clinical_lab+flusurv,input_mode=finalized_available 3 1.287 ± 0.120 1.265 1.372 1.219 1.159 1.280 1.153 1.560 1.031
C62 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=ww_wval_like,input_mode=finalized_available 3 1.291 ± 0.315 1.267 1.389 1.201 1.143 1.171 1.131 1.948 1.195
C63 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=inpatient+outpatient,input_mode=finalized_available 3 1.364 ± 0.153 1.345 1.442 1.256 1.164 1.309 1.141 1.778 1.182

Appendix

Appendix: scenarios run

Every configuration in this ranking. Field meanings, defaults and allowed values: scenario field key. "hub ensemble" in the figures is the frozen hub ensemble on the same tasks (WIS ratio 1).

Label Scenario string Run id Seeds Non-default fields
C1 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv,input_mode=finalized_available mlp-pathogen-finalized_available-bec467b68bb5 42, 43, 44 ed_transform = 'logit' (default 'linear'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'summary' (default 'raw'); covariate_set = 'inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv' (default ''); input_mode = 'finalized_available' (default 'finalized')
C2 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=ilinet+clinical_lab+flusurv,input_mode=finalized_available mlp-pathogen-finalized_available-0d16b9ff40e5 42, 43, 44 ed_transform = 'logit' (default 'linear'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'smooth' (default 'raw'); covariate_set = 'ilinet+clinical_lab+flusurv' (default ''); input_mode = 'finalized_available' (default 'finalized')
C3 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=kinsa,input_mode=finalized_available mlp-pathogen-finalized_available-1d2e1696f810 42, 43, 44 ed_transform = 'logit' (default 'linear'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'summary' (default 'raw'); covariate_set = 'kinsa' (default ''); input_mode = 'finalized_available' (default 'finalized')
C4 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=inpatient+outpatient,input_mode=finalized_available mlp-pathogen-finalized_available-eacdc07765c8 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'pooled' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'summary' (default 'raw'); covariate_set = 'inpatient+outpatient' (default ''); input_mode = 'finalized_available' (default 'finalized')
C5 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=inpatient+outpatient,input_mode=finalized_available mlp-pathogen-finalized_available-e11da6e3f679 42, 43, 44 ed_transform = 'logit' (default 'linear'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'smooth' (default 'raw'); covariate_set = 'inpatient+outpatient' (default ''); input_mode = 'finalized_available' (default 'finalized')
C6 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=ilinet+clinical_lab+flusurv,input_mode=finalized_available mlp-pathogen-finalized_available-5d9898213437 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'pooled' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'summary' (default 'raw'); covariate_set = 'ilinet+clinical_lab+flusurv' (default ''); input_mode = 'finalized_available' (default 'finalized')
C7 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv,input_mode=finalized_available mlp-pathogen-finalized_available-56474f8f5bec 42, 43, 44 ed_transform = 'logit' (default 'linear'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'smooth' (default 'raw'); covariate_set = 'inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv' (default ''); input_mode = 'finalized_available' (default 'finalized')
C8 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=kinsa,input_mode=finalized_available mlp-pathogen-finalized_available-72e8c6c0bdeb 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'attention' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_set = 'kinsa' (default ''); input_mode = 'finalized_available' (default 'finalized')
C9 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=ilinet+clinical_lab+flusurv,input_mode=finalized_available mlp-pathogen-finalized_available-1e679958a875 42, 43, 44 ed_transform = 'logit' (default 'linear'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'summary' (default 'raw'); covariate_set = 'ilinet+clinical_lab+flusurv' (default ''); input_mode = 'finalized_available' (default 'finalized')
C10 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=kinsa,input_mode=finalized_available mlp-pathogen-finalized_available-6580a821dc82 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'attention' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'summary' (default 'raw'); covariate_set = 'kinsa' (default ''); input_mode = 'finalized_available' (default 'finalized')
C11 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=ww_wval_like,input_mode=finalized_available mlp-pathogen-finalized_available-cdc2d5b4fb4d 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'attention' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'smooth' (default 'raw'); covariate_set = 'ww_wval_like' (default ''); input_mode = 'finalized_available' (default 'finalized')
C12 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=kinsa,input_mode=finalized_available mlp-pathogen-finalized_available-f18c91dd9dca 42, 43, 44 ed_transform = 'logit' (default 'linear'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'shared' (default 'raw'); covariate_set = 'kinsa' (default ''); input_mode = 'finalized_available' (default 'finalized')
C13 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=ilinet+clinical_lab+flusurv,input_mode=finalized_available mlp-pathogen-finalized_available-9c29e2e6938b 42, 43, 44 ed_transform = 'logit' (default 'linear'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'shared' (default 'raw'); covariate_set = 'ilinet+clinical_lab+flusurv' (default ''); input_mode = 'finalized_available' (default 'finalized')
C14 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=ww_wval_like,input_mode=finalized_available mlp-pathogen-finalized_available-29e2caa9a9b0 42, 43, 44 ed_transform = 'logit' (default 'linear'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'summary' (default 'raw'); covariate_set = 'ww_wval_like' (default ''); input_mode = 'finalized_available' (default 'finalized')
C15 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=inpatient+outpatient,input_mode=finalized_available mlp-pathogen-finalized_available-86e39e7246c5 42, 43, 44 ed_transform = 'logit' (default 'linear'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_set = 'inpatient+outpatient' (default ''); input_mode = 'finalized_available' (default 'finalized')
C16 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=ilinet+clinical_lab+flusurv,input_mode=finalized_available mlp-pathogen-finalized_available-230e50c1877d 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'pooled' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'shared' (default 'raw'); covariate_set = 'ilinet+clinical_lab+flusurv' (default ''); input_mode = 'finalized_available' (default 'finalized')
C17 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=ilinet+clinical_lab+flusurv,input_mode=finalized_available mlp-pathogen-finalized_available-d19c8a0518bb 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'pooled' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_set = 'ilinet+clinical_lab+flusurv' (default ''); input_mode = 'finalized_available' (default 'finalized')
C18 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=ww_wval_like,input_mode=finalized_available mlp-pathogen-finalized_available-1aee701fe3ed 42, 43, 44 ed_transform = 'logit' (default 'linear'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'shared' (default 'raw'); covariate_set = 'ww_wval_like' (default ''); input_mode = 'finalized_available' (default 'finalized')
C19 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=ilinet+clinical_lab+flusurv,input_mode=finalized_available mlp-pathogen-finalized_available-ea35fc14d031 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'attention' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'smooth' (default 'raw'); covariate_set = 'ilinet+clinical_lab+flusurv' (default ''); input_mode = 'finalized_available' (default 'finalized')
C20 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,input_mode=finalized_available mlp-pathogen-finalized_available-a04749387e03 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'attention' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); input_mode = 'finalized_available' (default 'finalized')
C21 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv,input_mode=finalized_available mlp-pathogen-finalized_available-c9f842f913d5 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'pooled' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'smooth' (default 'raw'); covariate_set = 'inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv' (default ''); input_mode = 'finalized_available' (default 'finalized')
C22 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,input_mode=finalized_available mlp-pathogen-finalized_available-c27efb4751dd 42, 43, 44 ed_transform = 'logit' (default 'linear'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); input_mode = 'finalized_available' (default 'finalized')
C23 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=ww_wval_like,input_mode=finalized_available mlp-pathogen-finalized_available-4dda3b8a15af 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'pooled' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_set = 'ww_wval_like' (default ''); input_mode = 'finalized_available' (default 'finalized')
C24 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv,input_mode=finalized_available mlp-pathogen-finalized_available-4cb5ecd2b98c 42, 43, 44 ed_transform = 'logit' (default 'linear'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_set = 'inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv' (default ''); input_mode = 'finalized_available' (default 'finalized')
C25 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=ww_wval_like,input_mode=finalized_available mlp-pathogen-finalized_available-54e7a63ef510 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'attention' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_set = 'ww_wval_like' (default ''); input_mode = 'finalized_available' (default 'finalized')
C26 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=kinsa,input_mode=finalized_available mlp-pathogen-finalized_available-6d1441bf8dd6 42, 43, 44 ed_transform = 'logit' (default 'linear'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_set = 'kinsa' (default ''); input_mode = 'finalized_available' (default 'finalized')
C27 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=kinsa,input_mode=finalized_available mlp-pathogen-finalized_available-2f546c782e98 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'attention' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'shared' (default 'raw'); covariate_set = 'kinsa' (default ''); input_mode = 'finalized_available' (default 'finalized')
C28 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=ilinet+clinical_lab+flusurv,input_mode=finalized_available mlp-pathogen-finalized_available-a0dfcf6a7d86 42, 43, 44 ed_transform = 'logit' (default 'linear'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_set = 'ilinet+clinical_lab+flusurv' (default ''); input_mode = 'finalized_available' (default 'finalized')
C29 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=inpatient+outpatient,input_mode=finalized_available mlp-pathogen-finalized_available-815c74b96e2d 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'attention' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'summary' (default 'raw'); covariate_set = 'inpatient+outpatient' (default ''); input_mode = 'finalized_available' (default 'finalized')
C30 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=ilinet+clinical_lab+flusurv,input_mode=finalized_available mlp-pathogen-finalized_available-8968b9664df2 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'attention' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'shared' (default 'raw'); covariate_set = 'ilinet+clinical_lab+flusurv' (default ''); input_mode = 'finalized_available' (default 'finalized')
C31 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=inpatient+outpatient,input_mode=finalized_available mlp-pathogen-finalized_available-fdbda2d34599 42, 43, 44 ed_transform = 'logit' (default 'linear'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'shared' (default 'raw'); covariate_set = 'inpatient+outpatient' (default ''); input_mode = 'finalized_available' (default 'finalized')
C32 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=kinsa,input_mode=finalized_available mlp-pathogen-finalized_available-487e1b200653 42, 43, 44 ed_transform = 'logit' (default 'linear'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'smooth' (default 'raw'); covariate_set = 'kinsa' (default ''); input_mode = 'finalized_available' (default 'finalized')
C33 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv,input_mode=finalized_available mlp-pathogen-finalized_available-d0081c367bb4 42, 43, 44 ed_transform = 'logit' (default 'linear'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'shared' (default 'raw'); covariate_set = 'inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv' (default ''); input_mode = 'finalized_available' (default 'finalized')
C34 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=inpatient+outpatient,input_mode=finalized_available mlp-pathogen-finalized_available-30729ef827c1 42, 43, 44 ed_transform = 'logit' (default 'linear'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'summary' (default 'raw'); covariate_set = 'inpatient+outpatient' (default ''); input_mode = 'finalized_available' (default 'finalized')
C35 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=ww_wval_like,input_mode=finalized_available mlp-pathogen-finalized_available-f895fa55950d 42, 43, 44 ed_transform = 'logit' (default 'linear'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'smooth' (default 'raw'); covariate_set = 'ww_wval_like' (default ''); input_mode = 'finalized_available' (default 'finalized')
C36 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=kinsa,input_mode=finalized_available mlp-pathogen-finalized_available-075921ec79ee 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'pooled' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_set = 'kinsa' (default ''); input_mode = 'finalized_available' (default 'finalized')
C37 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv,input_mode=finalized_available mlp-pathogen-finalized_available-b700ee858f70 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'attention' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'shared' (default 'raw'); covariate_set = 'inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv' (default ''); input_mode = 'finalized_available' (default 'finalized')
C38 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=kinsa,input_mode=finalized_available mlp-pathogen-finalized_available-953b8ee1349e 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'pooled' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'shared' (default 'raw'); covariate_set = 'kinsa' (default ''); input_mode = 'finalized_available' (default 'finalized')
C39 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv,input_mode=finalized_available mlp-pathogen-finalized_available-41e4c0209010 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'pooled' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_set = 'inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv' (default ''); input_mode = 'finalized_available' (default 'finalized')
C40 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=kinsa,input_mode=finalized_available mlp-pathogen-finalized_available-3e339924cfa1 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'attention' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'smooth' (default 'raw'); covariate_set = 'kinsa' (default ''); input_mode = 'finalized_available' (default 'finalized')
C41 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=ilinet+clinical_lab+flusurv,input_mode=finalized_available mlp-pathogen-finalized_available-ae7c3c6307d0 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'pooled' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'smooth' (default 'raw'); covariate_set = 'ilinet+clinical_lab+flusurv' (default ''); input_mode = 'finalized_available' (default 'finalized')
C42 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=ww_wval_like,input_mode=finalized_available mlp-pathogen-finalized_available-85708c1e4f3d 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'pooled' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'smooth' (default 'raw'); covariate_set = 'ww_wval_like' (default ''); input_mode = 'finalized_available' (default 'finalized')
C43 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv,input_mode=finalized_available mlp-pathogen-finalized_available-e44e6f5f7119 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'pooled' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'shared' (default 'raw'); covariate_set = 'inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv' (default ''); input_mode = 'finalized_available' (default 'finalized')
C44 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=inpatient+outpatient,input_mode=finalized_available mlp-pathogen-finalized_available-55c3e0b95f11 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'pooled' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'shared' (default 'raw'); covariate_set = 'inpatient+outpatient' (default ''); input_mode = 'finalized_available' (default 'finalized')
C45 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=ww_wval_like,input_mode=finalized_available mlp-pathogen-finalized_available-613b1bb7934d 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'attention' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'summary' (default 'raw'); covariate_set = 'ww_wval_like' (default ''); input_mode = 'finalized_available' (default 'finalized')
C46 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,input_mode=finalized_available mlp-pathogen-finalized_available-093949a65945 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'pooled' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); input_mode = 'finalized_available' (default 'finalized')
C47 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=ilinet+clinical_lab+flusurv,input_mode=finalized_available mlp-pathogen-finalized_available-22493e94d1ff 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'attention' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'summary' (default 'raw'); covariate_set = 'ilinet+clinical_lab+flusurv' (default ''); input_mode = 'finalized_available' (default 'finalized')
C48 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv,input_mode=finalized_available mlp-pathogen-finalized_available-e7d2cde1cc00 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'pooled' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'summary' (default 'raw'); covariate_set = 'inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv' (default ''); input_mode = 'finalized_available' (default 'finalized')
C49 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=inpatient+outpatient,input_mode=finalized_available mlp-pathogen-finalized_available-0f13b1bee859 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'pooled' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'smooth' (default 'raw'); covariate_set = 'inpatient+outpatient' (default ''); input_mode = 'finalized_available' (default 'finalized')
C50 ed_transform=logit,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=ww_wval_like,input_mode=finalized_available mlp-pathogen-finalized_available-e4945b191401 42, 43, 44 ed_transform = 'logit' (default 'linear'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_set = 'ww_wval_like' (default ''); input_mode = 'finalized_available' (default 'finalized')
C51 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv,input_mode=finalized_available mlp-pathogen-finalized_available-285d73868760 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'attention' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'smooth' (default 'raw'); covariate_set = 'inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv' (default ''); input_mode = 'finalized_available' (default 'finalized')
C52 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=kinsa,input_mode=finalized_available mlp-pathogen-finalized_available-6016e7a183b7 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'pooled' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'smooth' (default 'raw'); covariate_set = 'kinsa' (default ''); input_mode = 'finalized_available' (default 'finalized')
C53 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv,input_mode=finalized_available mlp-pathogen-finalized_available-1458a525fa1c 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'attention' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'summary' (default 'raw'); covariate_set = 'inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv' (default ''); input_mode = 'finalized_available' (default 'finalized')
C54 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=inpatient+outpatient,input_mode=finalized_available mlp-pathogen-finalized_available-954ce09ec13e 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'pooled' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_set = 'inpatient+outpatient' (default ''); input_mode = 'finalized_available' (default 'finalized')
C55 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=ww_wval_like,input_mode=finalized_available mlp-pathogen-finalized_available-0087e2c05f91 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'pooled' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'shared' (default 'raw'); covariate_set = 'ww_wval_like' (default ''); input_mode = 'finalized_available' (default 'finalized')
C56 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=ww_wval_like,input_mode=finalized_available mlp-pathogen-finalized_available-599123a3ff5b 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'pooled' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'summary' (default 'raw'); covariate_set = 'ww_wval_like' (default ''); input_mode = 'finalized_available' (default 'finalized')
C57 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=inpatient+outpatient,input_mode=finalized_available mlp-pathogen-finalized_available-d7226685b720 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'attention' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_set = 'inpatient+outpatient' (default ''); input_mode = 'finalized_available' (default 'finalized')
C58 ed_transform=logit,spatial=pooled,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=summary,covariate_set=kinsa,input_mode=finalized_available mlp-pathogen-finalized_available-d34b3d51b4a1 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'pooled' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'summary' (default 'raw'); covariate_set = 'kinsa' (default ''); input_mode = 'finalized_available' (default 'finalized')
C59 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv,input_mode=finalized_available mlp-pathogen-finalized_available-a3b9a08d9939 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'attention' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_set = 'inpatient+outpatient+ww_wval_like+kinsa+ilinet+clinical_lab+flusurv' (default ''); input_mode = 'finalized_available' (default 'finalized')
C60 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=inpatient+outpatient,input_mode=finalized_available mlp-pathogen-finalized_available-f612476105c2 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'attention' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'shared' (default 'raw'); covariate_set = 'inpatient+outpatient' (default ''); input_mode = 'finalized_available' (default 'finalized')
C61 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_set=ilinet+clinical_lab+flusurv,input_mode=finalized_available mlp-pathogen-finalized_available-7a4edb0362c6 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'attention' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_set = 'ilinet+clinical_lab+flusurv' (default ''); input_mode = 'finalized_available' (default 'finalized')
C62 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=shared,covariate_set=ww_wval_like,input_mode=finalized_available mlp-pathogen-finalized_available-ba6df0ad9bef 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'attention' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'shared' (default 'raw'); covariate_set = 'ww_wval_like' (default ''); input_mode = 'finalized_available' (default 'finalized')
C63 ed_transform=logit,spatial=attention,epochs=300,patience=30,fit_partition=pathogen,supplied_final=1,mask_rate=0.5,covariate_encoder=smooth,covariate_set=inpatient+outpatient,input_mode=finalized_available mlp-pathogen-finalized_available-0d84c8ad3f02 42, 43, 44 ed_transform = 'logit' (default 'linear'); spatial = 'attention' (default 'none'); epochs = 300 (default 50); patience = 30 (default 0); fit_partition = 'pathogen' (default 'all'); supplied_final = True (default False); mask_rate = 0.5 (default 0.0); covariate_encoder = 'smooth' (default 'raw'); covariate_set = 'inpatient+outpatient' (default ''); input_mode = 'finalized_available' (default 'finalized')