Metadata-Version: 2.1
Name: maml
Version: 0.0.2
Summary: maml is a machine learning library for materials science.
Home-page: http://www.materialsvirtuallab.org
Author: Materials Virtual Lab
Author-email: ongsp@eng.ucsd.edu
Maintainer: Shyue Ping Ong
Maintainer-email: ongsp@eng.ucsd.edu
License: BSD
Keywords: materials,science,deep,learning
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: monty
Requires-Dist: scikit-learn
Requires-Dist: pandas
Requires-Dist: pymatgen
Requires-Dist: tqdm

Maml, acronym for MAterials Machine Learning and pronounced mammal, is a machine learning 
    library for materials science. It builds on top of pymatgen (Python Materials Genomics) materials analysis library
and well-known machine learning/deep learning libraries like scikit-learn, Keras and Tensorflow. The aim is to link the power of both kinds of 
libraries for rapid experimentation and learning of materials data.

