Metadata-Version: 2.1
Name: quicknn
Version: 1.0.0
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: 
        # QuickDNN
        
        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 quickdnn import QuickDNN
        
        # load X_train, X_test, y_train, y_test
        
        qdnn = QuickDNN(list_neurons=[100, 100, 1]) # two hidden layers with 100 neurons each and 1 output neuron. 
        qdnn.fit(X_train, y_train) # training phase
        y_pred = qdnn.predict(X_test) # predicting phase
        ```
        
        ## Installing
        
        ```bash
        $ pip install quickdnn
        ```
        
        ## 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
