CHO state forecasting: full
Base revision: 29ec3766d36d6f73f0696f85560a422f50e8498c. Method: full. Seed: 42. Exported checkpoint step: 350. Training budget: 500; final deployment is Full step 350. LoRA weights are merged before export. No additional fitting for zero_shot. 24h forecast on 6h grid: VCD, viability, glucose, lactate, ammonium.
Source and license
Uhlendorff et al. (2026), Dataset Based on Chinese Hamster Ovary (CHO) Cultivations including Turbidity, Permittivity, O2 and CO2 Measurements, v1. https://doi.org/10.5281/zenodo.20829178 . Source data: CC-BY-4.0. Changes: causal right-edge binning; limited past-only fill for inline covariates. Original data is not bundled. Code/model and source-data licenses are separate.
Test results
| method | scope | target | n | n_experiments | mae | rmse | persistence_mae | normalized_mae | coverage_80 | mean_interval_width | zero_shot_mae | improvement_vs_zero_shot_pct |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| full | fed-batch | ammonium_mm | 22 | 1 | 1.5485 | 1.7582 | 1.1627 | 1.3318 | 0.3636 | 2.7823 | 1.4943 | -3.6275 |
| full | fed-batch | glucose_g_l | 22 | 1 | 0.7150 | 1.0134 | 0.5638 | 1.2682 | 0.3636 | 1.8207 | 0.8950 | 20.1092 |
| full | fed-batch | lactate_g_l | 22 | 1 | 0.9537 | 1.2401 | 0.9221 | 1.0343 | 0.5455 | 2.1864 | 1.4429 | 33.9062 |
| full | fed-batch | vcd_cells_ml | 22 | 1 | 877675.4773 | 1294423.8394 | 1293787.8788 | 0.6784 | 0.7273 | 2654968.2898 | 1840893.6894 | 52.3234 |
| full | fed-batch | viability_pct | 22 | 1 | 3.5968 | 4.7217 | 8.1898 | 0.4392 | 0.9091 | 13.3540 | 5.2619 | 31.6445 |
Limitations
Single-seed, small experiment-group holdout. Paired reactors stay in one split. No Keytruda production data and no validated transfer to 2000L. No titer, HCP, DNA or product-quality labels. No optimal harvest-day prediction. Deviation flags are not contamination diagnoses. Harvest review threshold is illustrative. Not validated for manufacturing control or batch release.
Reproduce and infer
See preprocessing.json, split.json, requirements.txt, environment-lock.txt and cho_model.py.
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amazon/chronos-2