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COPYRIGHT
=========
Copyright (c) 2021-2023 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
documentation before you download and/or use this software and associated
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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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provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice, this
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* In academic research publications and other publications where full and
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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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OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
From Scikit-Learn
-----------------
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Copyright (c) 2007-2020 The scikit-learn developers.
All rights reserved.
Redistribution and use in source and binary forms, with or without
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this list of conditions and the following disclaimer in the documentation
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* Neither the name of the copyright holder nor the names of its
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From Joblib
-----------
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Redistribution and use in source and binary forms, with or without
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this list of conditions and the following disclaimer in the documentation
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* Neither the name of the copyright holder nor the names of its
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this software without specific prior written permission.
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FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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From Scipy
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From Cython
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