semvec/pypi-packages huggingface dataset:
neptune-fastai 1.1.1
Neptune.ai fast.ai integration library
License: Apache-2.0
Requires Python: >=3.7,<4.0
Keywords: MLOps,ML Experiment Tracking,ML Model Registry,ML Model Store,ML Metadata Store

# Neptune + fastai integration

Experiment tracking, model registry, data versioning, and live model monitoring for fastai trained models.

## What will you get with this integration?

* Log, display, organize, and compare ML experiments in a single place
* Version, store, manage, and query trained models, and model building metadata
* Record and monitor model training, evaluation, or production runs live

## What will be logged to Neptune?

* Hyperparameters
* Losses and metrics
* Training code (Python scripts or Jupyter notebooks) and Git information
* Dataset version
* Model configuration, architecture, and weights
* [Other metadata](https://docs.neptune.ai/logging/what_you_can_log)

![image](https://user-images.githubusercontent.com/97611089/160639808-bd381089-66c8-4ed5-a895-0c018b378e0a.png)
*Example dashboard with train-valid metrics and selected parameters*


## Resources

* [Documentation](https://docs.neptune.ai/integrations/fastai)
* [Code example on GitHub](https://github.com/neptune-ai/examples/tree/main/integrations-and-supported-tools/fastai/scripts)
* [Example dashboard in the Neptune app](https://app.neptune.ai/o/common/org/fastai-integration/runs/details?viewId=standard-view&detailsTab=dashboard&dashboardId=fastai-dashboard-1f456716-f509-4432-b8b3-a7f5242703b6&shortId=FAS-1895&type=run)
* [Run example in Google Colab](https://colab.research.google.com/github/neptune-ai/examples/blob/main/integrations-and-supported-tools/fastai/notebooks/Neptune_fastai.ipynb)

## Example

On the command line:

```
pip install neptune-fastai
```

In Python:

```python
import neptune

# Start a run
run = neptune.init_run(
    project="common/fastai-integration",
    api_token=neptune.ANONYMOUS_API_TOKEN,
)

# Log a single training phase
learn = learner(...)
learn.fit(..., cbs = NeptuneCallback(run=run))

# Log all training phases of the learner
learn = cnn_learner(..., cbs=NeptuneCallback(run=run))
learn.fit(...)
learn.fit(...)

# Stop the run
run.stop()
```

## Support

If you got stuck or simply want to talk to us, here are your options:

* Check our [FAQ page](https://docs.neptune.ai/getting_help)
* You can submit bug reports, feature requests, or contributions directly to the repository.
* Chat! When in the Neptune application click on the blue message icon in the bottom-right corner and send a message. A real person will talk to you ASAP (typically very ASAP),
* You can just shoot us an email at support@neptune.ai