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The implementation of the paper 'Multi-label learning by exploiting label dependency' in KDD 2010, an algorithm for multi-label by exploiting label dependency through bayesian network(DAG)

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Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
.idea		.idea
dataset		dataset
sk-model		sk-model
tf_model		tf_model
Learning_error.py		Learning_error.py
README.md		README.md
bayesian_network.py		bayesian_network.py
lead.py		lead.py

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LEAD

Dataset

http://mulan.sourceforge.net/datasets-mlc.html

yeast

name	domain	instances	nominal	numeric	labels	cardinality	density	distinct
yeast	biology	2417	0	103	14	4.237	0.303	198

Requrements

Python 3.6
numpy 1.13.3
pgmpy 0.1.6
pandas 0.19.1
tensorflow 1.10.0
networkx 1.11

Reference

Zhang, M.-L., & Zhang, K. (2010). Multi-label learning by exploiting label dependency. In KDD’10: proceedings of the 16th ACM SIGKDD international conference on knowledge discovery and data mining (pp. 999–1008). New York: ACM.

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The implementation of the paper 'Multi-label learning by exploiting label dependency' in KDD 2010, an algorithm for multi-label by exploiting label dependency through bayesian network(DAG)

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