# {py:mod}`evox.workflows.eval_monitor`

```{py:module} evox.workflows.eval_monitor
```

```{autodoc2-docstring} evox.workflows.eval_monitor
:allowtitles:
```

## Module Contents

### Classes

````{list-table}
:class: autosummary longtable
:align: left

* - {py:obj}`EvalMonitor <evox.workflows.eval_monitor.EvalMonitor>`
  - ```{autodoc2-docstring} evox.workflows.eval_monitor.EvalMonitor
    :summary:
    ```
````

### API

`````{py:class} EvalMonitor(multi_obj: bool = False, full_fit_history: bool = True, full_sol_history: bool = False, full_pop_history: bool = False, topk: int = 1, device: torch.device | None = None, history_device: torch.device | None = None)
:canonical: evox.workflows.eval_monitor.EvalMonitor

Bases: {py:obj}`evox.core.Monitor`

```{autodoc2-docstring} evox.workflows.eval_monitor.EvalMonitor
```

```{rubric} Initialization
```

```{autodoc2-docstring} evox.workflows.eval_monitor.EvalMonitor.__init__
```

````{py:property} fitness_history
:canonical: evox.workflows.eval_monitor.EvalMonitor.fitness_history
:type: typing.List[torch.Tensor]

```{autodoc2-docstring} evox.workflows.eval_monitor.EvalMonitor.fitness_history
```

````

````{py:property} fit_history
:canonical: evox.workflows.eval_monitor.EvalMonitor.fit_history
:type: typing.List[torch.Tensor]

```{autodoc2-docstring} evox.workflows.eval_monitor.EvalMonitor.fit_history
```

````

````{py:property} solution_history
:canonical: evox.workflows.eval_monitor.EvalMonitor.solution_history
:type: typing.List[torch.Tensor]

```{autodoc2-docstring} evox.workflows.eval_monitor.EvalMonitor.solution_history
```

````

````{py:property} sol_history
:canonical: evox.workflows.eval_monitor.EvalMonitor.sol_history
:type: typing.List[torch.Tensor]

```{autodoc2-docstring} evox.workflows.eval_monitor.EvalMonitor.sol_history
```

````

````{py:property} aux_history
:canonical: evox.workflows.eval_monitor.EvalMonitor.aux_history
:type: typing.Dict[str, typing.List[torch.Tensor]]

```{autodoc2-docstring} evox.workflows.eval_monitor.EvalMonitor.aux_history
```

````

````{py:property} auxiliary_history
:canonical: evox.workflows.eval_monitor.EvalMonitor.auxiliary_history
:type: typing.Dict[str, typing.List[torch.Tensor]]

```{autodoc2-docstring} evox.workflows.eval_monitor.EvalMonitor.auxiliary_history
```

````

````{py:method} set_config(**config)
:canonical: evox.workflows.eval_monitor.EvalMonitor.set_config

````

````{py:method} record_auxiliary(aux: typing.Dict[str, torch.Tensor])
:canonical: evox.workflows.eval_monitor.EvalMonitor.record_auxiliary

````

````{py:method} post_ask(candidate_solution: torch.Tensor)
:canonical: evox.workflows.eval_monitor.EvalMonitor.post_ask

````

````{py:method} pre_tell(fitness: torch.Tensor)
:canonical: evox.workflows.eval_monitor.EvalMonitor.pre_tell

````

````{py:method} record_history()
:canonical: evox.workflows.eval_monitor.EvalMonitor.record_history

```{autodoc2-docstring} evox.workflows.eval_monitor.EvalMonitor.record_history
```

````

````{py:method} get_latest_fitness() -> torch.Tensor
:canonical: evox.workflows.eval_monitor.EvalMonitor.get_latest_fitness

```{autodoc2-docstring} evox.workflows.eval_monitor.EvalMonitor.get_latest_fitness
```

````

````{py:method} get_latest_solution() -> torch.Tensor
:canonical: evox.workflows.eval_monitor.EvalMonitor.get_latest_solution

```{autodoc2-docstring} evox.workflows.eval_monitor.EvalMonitor.get_latest_solution
```

````

````{py:method} get_topk_fitness() -> torch.Tensor
:canonical: evox.workflows.eval_monitor.EvalMonitor.get_topk_fitness

```{autodoc2-docstring} evox.workflows.eval_monitor.EvalMonitor.get_topk_fitness
```

````

````{py:method} get_topk_solutions() -> torch.Tensor
:canonical: evox.workflows.eval_monitor.EvalMonitor.get_topk_solutions

```{autodoc2-docstring} evox.workflows.eval_monitor.EvalMonitor.get_topk_solutions
```

````

````{py:method} get_best_solution() -> torch.Tensor
:canonical: evox.workflows.eval_monitor.EvalMonitor.get_best_solution

```{autodoc2-docstring} evox.workflows.eval_monitor.EvalMonitor.get_best_solution
```

````

````{py:method} get_best_fitness() -> torch.Tensor
:canonical: evox.workflows.eval_monitor.EvalMonitor.get_best_fitness

```{autodoc2-docstring} evox.workflows.eval_monitor.EvalMonitor.get_best_fitness
```

````

````{py:method} get_pf_fitness(deduplicate=True) -> torch.Tensor
:canonical: evox.workflows.eval_monitor.EvalMonitor.get_pf_fitness

```{autodoc2-docstring} evox.workflows.eval_monitor.EvalMonitor.get_pf_fitness
```

````

````{py:method} get_pf_solutions(deduplicate=True) -> torch.Tensor
:canonical: evox.workflows.eval_monitor.EvalMonitor.get_pf_solutions

```{autodoc2-docstring} evox.workflows.eval_monitor.EvalMonitor.get_pf_solutions
```

````

````{py:method} get_pf(deduplicate=True) -> typing.Tuple[torch.Tensor, torch.Tensor]
:canonical: evox.workflows.eval_monitor.EvalMonitor.get_pf

```{autodoc2-docstring} evox.workflows.eval_monitor.EvalMonitor.get_pf
```

````

````{py:method} get_fitness_history() -> typing.List[torch.Tensor]
:canonical: evox.workflows.eval_monitor.EvalMonitor.get_fitness_history

```{autodoc2-docstring} evox.workflows.eval_monitor.EvalMonitor.get_fitness_history
```

````

````{py:method} get_solution_history() -> typing.List[torch.Tensor]
:canonical: evox.workflows.eval_monitor.EvalMonitor.get_solution_history

```{autodoc2-docstring} evox.workflows.eval_monitor.EvalMonitor.get_solution_history
```

````

````{py:method} plot(problem_pf=None, source='eval', **kwargs)
:canonical: evox.workflows.eval_monitor.EvalMonitor.plot

```{autodoc2-docstring} evox.workflows.eval_monitor.EvalMonitor.plot
```

````

`````