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COPYRIGHT
=========
Copyright (c) 2021 LAMDA (http://www.lamda.nju.edu.cn), Nanjing University, China
All rights reserved.
LICENSE
=======
Please read carefully the following terms and conditions and any accompanying
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The copyright holder hereby grants you a non-exclusive, non-transferable, free
of charge right to copy, modify, merge, publish, distribute, and sublicense
the Software for the sole purpose of performing non-commercial scientific
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* Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
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this list of conditions and the following disclaimer in the documentation
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includes software developed by the LAMDA, Nanjing University, China.
* In academic research publications and other publications where full and
partial implementations of the code or binary distribution are used,
presented, compared evaluated etc., a description or citation to the relevant
articles ''Z.-H. Zhou and J. Feng, Deep Forest, National Science Review,
vol. 6, no. 1, pp. 74-86, 2018'' and ''Z.-H. Zhou and J. Feng, Deep Forest:
Towards an alternative to deep neural networks, in IJCAI, 2017'' should be
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From Scikit-Learn
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