Metadata-Version: 2.1
Name: twoblock
Version: 0.0.1
Summary: A Scikit-Learn Compatible Library for Simultaneous Two-Block Sufficient Dimension Reduction Methods
Home-page: https://github.com/SvenSerneels/twoblock
Author: Sven Serneels
Author-email: svenserneels@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.22.0
Requires-Dist: scipy>=1.8.0
Requires-Dist: scikit-learn>=1.3.0
Requires-Dist: pandas>=1.4.0

# twoblock
Two-block simultaneous dimension reduction 

A scikitlearn compatible implementation of simultaneous two-block dimension reduction as proposed in [1]. 

References
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[1] Cook, R. Dennis, Liliana Forzani, and Lan Liu.
    "Partial least squares for simultaneous reduction of response and predictor
    vectors in regression." Journal of Multivariate Analysis 196 (2023): 105163.
