1 lightning.cli

lightning.cli

Provide installed CLI entry points for Lightning experiments and W&B exports.

This module owns command-line/TOML precedence, run-mode convenience wrappers, and local export dispatch while leaving runtime construction to AriaNBVExperimentConfig. The importable entry points are registered in pyproject.toml; they do not duplicate datamodule, scorer, loss, or trainer logic.

1.1 Functions

Name	Description
fit_binner_main	Convenience entry point that forces `--fit-binner-only`.
main	Run training/eval/binner fitting for the configured experiment.
optuna_main	Convenience entry point that forces `--run-mode optuna`.
summarize_main	Convenience entry point that forces `--run-mode summarize-vin`.
train_main	Convenience entry point that forces `--run-mode train`.
wandb_main	Export W&B summaries, histories, dynamics, and local figure manifests.

1.1.1 fit_binner_main

lightning.cli.fit_binner_main()

Convenience entry point that forces --fit-binner-only.

1.1.2 main

lightning.cli.main(argv=None)

Run training/eval/binner fitting for the configured experiment.

1.1.3 optuna_main

lightning.cli.optuna_main()

Convenience entry point that forces --run-mode optuna.

1.1.4 summarize_main

lightning.cli.summarize_main()

Convenience entry point that forces --run-mode summarize-vin.

1.1.5 train_main

lightning.cli.train_main()

Convenience entry point that forces --run-mode train.

1.1.6 wandb_main

lightning.cli.wandb_main(argv=None)

Export W&B summaries, histories, dynamics, and local figure manifests.

# lightning.cli { #aria_nbv.lightning.cli }

`lightning.cli`

Provide installed CLI entry points for Lightning experiments and W&B exports.

This module owns command-line/TOML precedence, run-mode convenience wrappers,
and local export dispatch while leaving runtime construction to
:class:`AriaNBVExperimentConfig`. The importable entry points are registered in
``pyproject.toml``; they do not duplicate datamodule, scorer, loss, or trainer
logic.

## Functions

| Name | Description |
| --- | --- |
| [fit_binner_main](#aria_nbv.lightning.cli.fit_binner_main) | Convenience entry point that forces `--fit-binner-only`. |
| [main](#aria_nbv.lightning.cli.main) | Run training/eval/binner fitting for the configured experiment. |
| [optuna_main](#aria_nbv.lightning.cli.optuna_main) | Convenience entry point that forces `--run-mode optuna`. |
| [summarize_main](#aria_nbv.lightning.cli.summarize_main) | Convenience entry point that forces `--run-mode summarize-vin`. |
| [train_main](#aria_nbv.lightning.cli.train_main) | Convenience entry point that forces `--run-mode train`. |
| [wandb_main](#aria_nbv.lightning.cli.wandb_main) | Export W&B summaries, histories, dynamics, and local figure manifests. |

### fit_binner_main { #aria_nbv.lightning.cli.fit_binner_main }

```python
lightning.cli.fit_binner_main()
```

Convenience entry point that forces `--fit-binner-only`.

### main { #aria_nbv.lightning.cli.main }

```python
lightning.cli.main(argv=None)
```

Run training/eval/binner fitting for the configured experiment.

### optuna_main { #aria_nbv.lightning.cli.optuna_main }

```python
lightning.cli.optuna_main()
```

Convenience entry point that forces `--run-mode optuna`.

### summarize_main { #aria_nbv.lightning.cli.summarize_main }

```python
lightning.cli.summarize_main()
```

Convenience entry point that forces `--run-mode summarize-vin`.

### train_main { #aria_nbv.lightning.cli.train_main }

```python
lightning.cli.train_main()
```

Convenience entry point that forces `--run-mode train`.

### wandb_main { #aria_nbv.lightning.cli.wandb_main }

```python
lightning.cli.wandb_main(argv=None)
```

Export W&B summaries, histories, dynamics, and local figure manifests.