Metadata-Version: 2.1
Name: quicknn
Version: 1.0.6
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
Description: 
        # 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.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
