Metadata-Version: 1.1
Name: SNE_lab
Version: 0.1.5
Summary: Structured Neural Embedding model for research
Home-page: https://github.com/LplusKira/SNE_lab
Author: Po-Kai Chang
Author-email: pokaichangtwn@gmail.com
License: UNKNOWN
Description: This module aims to implement Structured Neural Embedding, a novel multi-task multi-label predictor, upon NumPy. It runs on MovieLens100K, MovieLens1M, Youtube, and Ego-net (Facebook)'s network datasets. The original purpose of it was to serve as one of the baseline models in the paper Deep Energy Factorization Model for Demographic Prediction (Chih-Te Lai, Po-Kai Chang, et al). Give SNE-lab a try if either you need a handy implementation or you want a quick overview on multi-task multi-label prediction!
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Other Environment
Classifier: Intended Audience :: Education
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX :: Linux
Classifier: Topic :: Education
Classifier: Topic :: Utilities
