Metadata-Version: 1.2
Name: wehd
Version: 0.1.0
Summary: WEHD, A Weighted Euclidean-Hamming Distance Metric for Heterogeneous Feature Vectors.
Home-page: http://github.com/lantunes/wehd
Author: Luis M. Antunes
Author-email: lantunes@gmail.com
License: Apache License 2.0
Description: WEHD is a heterogeneous distance function for use in scientific Python environments. The weights for an optimal metric for a dataset can be discovered using gradient-free optimizers, such as Evolution Strategies, in unsupervised settings, as demonstrated in this project.
Keywords: machine learning,distance metric,metric learning,unsupervised metric learning
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3.6
