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Author:
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Summary:
PyQAlloy is a tool for detection of abnormal data in alloy datasets (and other chemical spaces), allowing removal of hard-to-find erros in the data which often introduce systematic errors throwing off machine learning and researchers alike. Its development is a part of ULTERA Project carried under the DOE ARPA-E ULTIMATE program that aims to develop a new generation of materials for turbine blades and related applications.
Latest version:
0.3.9
Required dependencies:
dnspython
|
kaleido
|
montydb
|
natsort
|
numpy
|
plotly
|
pymatgen
|
pymongo
|
pysmartdl
|
scikit-learn
|
tqdm
|
xlsxwriter
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