---
title: "mova-eel-native-trainer — Mova code model"
description: "Mova code model of tools/eel/src/trainer.rs: components with their labels, obernants and the model text."
url: "https://groupants.elamur.ai/free/en/mova/tools/eel/src/trainer.rs.groupant/"
---
Elamur: [Mova](https://md.mova.elamur.ai/free/en/) · [Dictionary](https://md.dictionary.elamur.ai/free/en/) · [Research](https://md.research.elamur.ai/free/en/) · **Groupants**

This page as HTML: <https://groupants.elamur.ai/free/en/mova/tools/eel/src/trainer.rs.groupant/>

# mova-eel-native-trainer

The groupant beside tools/eel/src/trainer.rs in the Mova repository: what the code computes, what it never does, how to go back from its outputs, its invariants, cost and checks.

## Facts

- **kind:** groupant
- **status:** partial source bound model
- **source:** [`tools/eel/src/trainer.rs`](https://github.com/ElamurAI/mova-free/blob/main/tools/eel/src/trainer.rs)
- **source SHA-256:** `cc4d7b6d4f7d17cd…`
- **repository folder:** [`tools/eel/src/trainer.rs.groupant`](https://github.com/ElamurAI/mova-free/tree/main/tools/eel/src/trainer.rs.groupant)
- **repository commit:** `48f2e6f74146`

> **Implementation material.** A Mova code model describes this code at one source revision: partial models, finite checks and their stated scope. It is not a reviewed general exposition, and its labels are shown as written, never raised.

## Components

| component | label | where |
|---|---|---|
| **approximant** | partial | [Forward approximant](#forward-approximant) |
| **ast** | partial | `syntax.json` |
| **composition** | partial | [Composition](#composition) |
| **cost** | partial | [Invariant and cost](#invariant-and-cost) |
| **descriptant** | present | [descriptant](#descriptant) |
| **invariant** | partial | [Invariant and cost](#invariant-and-cost) |
| **tests** | bounded or representation | [tests](#tests) |

## Obernants

The typed relations around the forward model: the behaviour complement (what the code never does), the reverse reconstruction (every input compatible with an output) and specialised views.

| id | type | label | where |
|---|---|---|---|
| `behavior_complement` | behavior_complement | partial source derived model | [behavior_complement](#behavior-complement) |
| `reverse_reconstruction` | reverse_reconstruction | partial source derived model | [reverse_reconstruction](#reverse-reconstruction) |
| `supervision_fibers` | reverse_reconstruction | partial source derived model | [supervision_fibers](#supervision-fibers) |
| `missing_witness_exclusion` | partial_exclusion | partial source derived model | [missing_witness_exclusion](#missing-witness-exclusion) |
| `terminal_quality_partition` | error_partition | partial source derived model | [terminal_quality_partition](#terminal-quality-partition) |
| `checkpoint_gate_partition` | error_partition | partial source derived model | [checkpoint_gate_partition](#checkpoint-gate-partition) |
| `absolute_anchor_exclusion` | partial_exclusion | partial source derived model | [absolute_anchor_exclusion](#absolute-anchor-exclusion) |
| `unrelated_child_exclusion` | partial_exclusion | partial source derived model | [unrelated_child_exclusion](#unrelated-child-exclusion) |
| `inherited_gpu_lease` | resource_state_preimage | partial source derived model | [inherited_gpu_lease](#inherited-gpu-lease) |
| `priority_lane_admission` | error_partition | partial source derived finite checks | [priority_lane_admission](#priority-lane-admission) |
| `polling_export_reverse_fiber` | reverse_reconstruction | partial source derived finite checks | [polling_export_reverse_fiber](#polling-export-reverse-fiber) |
| `priority_terminal_identity_fiber` | partial_exclusion | partial source derived finite checks | [priority_terminal_identity_fiber](#priority-terminal-identity-fiber) |

## Model text

The model text names local infrastructure and is not shown here; read it in the [open repository](https://github.com/ElamurAI/mova-free/blob/main/tools/eel/src/trainer.rs.groupant/model.md).