hyperparameter-tuning

Lightning integrates seamlessly with popular hyperparameter tuning libraries.

Skills
AI research
1

What it does and how to use it

A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.

Install the skill (command above).
In Claude Code, describe what you need - the skill turns on by itself when the context fits.
No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/hyperparameter-tuning && curl -fsSL https://doutorai.pt/data/lib/skills__hyperparameter-tuning.md -o .claude/skills/hyperparameter-tuning/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Hyperparameter Tuning with PyTorch Lightning

## Integration with Tuning Frameworks

Lightning integrates seamlessly with popular hyperparameter tuning libraries.

### 1. Ray Tune Integration

**Installation**:
```bash
pip install ray[tune]
pip install lightning
```

**Basic Ray Tune example**:

```python
import lightning as L
from ray import tune
from ray.tune.integration.pytorch_lightning import TuneReportCallback

class LitModel(L.LightningModule):
    def __init__(self, lr, batch_size):
        super().__init__()
        self.lr = lr
        self.batch_size = batch_size
        self.mode

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