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pyBKTR

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0.2.0 pyBKTR-0.2.0-py3-none-any.whl

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Project: pyBKTR
Version: 0.2.0
Filename: pyBKTR-0.2.0-py3-none-any.whl
Download: [link]
Size: 221924
MD5: 4cbc89502a1972a65ef5dbd7310adc51
SHA256: 2ae02e7f5e84be0ee180b1c366402d563ef340bf2831845cedaf75bf020e46c0
Uploaded: 2024-08-21 02:57:41 +0000

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METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: pyBKTR
Version: 0.2.0
Summary: Python implementation of the Scalable Spatiotemporally Varying Coefficient Modelling with Bayesian Kernelized Tensor Regression
Author: Mengying Lei, Aurelie Labbe, Lijun Sun
Author-Email: Julien Lanthier <julien.lanthier[at]hec.ca>
Project-Url: Homepage, https://github.com/julien-hec/pyBKTR
Project-Url: Bug Tracker, https://github.com/julien-hec/pyBKTR/issues
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Requires-Python: <4,>=3.10
Requires-Dist: torch (>=1.12.1)
Requires-Dist: numpy (>=1.22.3)
Requires-Dist: pandas (>=1.4.2)
Requires-Dist: plotly (>=5.10.0)
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Requires-Dist: pre-commit (==2.20.0); extra == "dev"
Requires-Dist: Sphinx (==6.1.3); extra == "dev"
Requires-Dist: sphinx-rtd-theme (==1.2.0); extra == "dev"
Requires-Dist: nbsphinx (==0.8.12); extra == "dev"
Requires-Dist: kaleido (==0.2.1); extra == "dev"
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 5660 characters]

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top_level.txt

pyBKTR