Metadata-Version: 2.1
Name: gcrnet
Version: 1.0.0
Summary: A Python library for sparse-input neural networks using group concave regularization
Home-page: UNKNOWN
Author: Bin Luo
Author-email: bin.luo2@duke.edu
License: MIT
Description: # GCRNet: Sparse-Input Neural Networks with Group Concave Regularization
        
        GCRNet is a Python library that implements a novel framework for sparse-input neural networks using group concave regularization. Leveraging the power of concave penalties, specifically MCP and SCAD, GCRNet provides a comprehensive approach for simultaneous feature selection and non-linear function estimation. The proposed framework considers all outgoing connections from a single input neuron as a group and applies an appropriate concave penalty to the $l_2$ norm of weights within each group. By selectively shrinking the weights of certain groups to exact zeros, GCRNet constructs a neural network that utilizes only a small subset of variables, enhancing both the accuracy and interpretability of the feature selection process. GCRNet offers versatile functionality, supporting regression or classification tasks with continuous, binary, or time-to-event outcomes.
Platform: UNKNOWN
Description-Content-Type: text/markdown
