Metadata-Version: 2.1
Name: quicknn
Version: 1.0.2
Summary: A package for quick&dirty DNN
Home-page: https://gitlab.com/deeplego/quicknn
Author: Lorenzo Palloni
Author-email: palloni.lorenzo@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown


# QuickNN

An implementation sklearn-like of FeedForward Neural Networks for quick applications. It can handle categorical
variables with one-hot-encoding(OHE) method batch-wise as well as continuous variables.

## Example

```python
from quicknn import QuickNN

# load X_train, X_test, y_train, y_test

qdnn = QuickNN(list_neurons=[100, 100, 1])
qnn.fit(X_train, y_train)
y_pred = qnn.predict(X_test)
```

## Installing

```bash
$ pip install quicknn
```

## License

This project is licensed under the MIT License - see the [LICENSE.md](License.md) file for details.


