---
license: cc-by-4.0
library_name: onnx
tags:
  - ecology
  - vegetation
  - biodiversity
  - onnx
---

# RESOLVE model suites for the browser

The released [RESOLVE](https://github.com/gcol33/resolve) model suites as ONNX
graphs, read by the [RESOLVE plot predictor](https://github.com/gcol33/resolve-web).
From the species list of a European vegetation plot they predict its EUNIS
habitat (level 1), altitude, slope, plot area, survey year and location.

- `V_species_context/`: models that read the species with their cover, the
  plot's coordinates and its survey year and month (each target reads the
  inputs its `target.json` names).
- `V_minimal/`: models that read the species with their cover only.

Each target directory holds `target.json` (vocabularies, inputs, output heads,
the rule that combines the members) and five members, `seed_<k>.onnx`, trained
with different seeds. Species are World Flora Online names as matched in the
European Vegetation Archive. Every graph takes the assembled species ids,
genus and family ids, pool weights, a cover flag and the raw continuous block
(NaN where missing), and returns the target in its original units.

The graphs reproduce the engine's `SuitePredictor`: on 2,000 plots of the UK
National Plant Monitoring Scheme every EUNIS label agrees, probabilities
differ by less than 1e-6 and regressions by less than 5e-4 of their value.