Licensing Information User Manual MySQL HeatWave 9.4.0 Commercial
xgboost:
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A copy of the Section 3.1, “Apache License v2.0, January 2004” license can be found
in the 'Standard Licenses' section
4th party Dependencies
----------------------
numpy:
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---
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Copyright (c) 2018 Melissa E. O'Neill
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Name: PCG64
The MIT License
PCG Random Number Generation for C.
Copyright 2014 Melissa O'Neill oneill@pcg-random.org
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Name: MT19937
Copyright (c) 2003-2005, Jean-Sebastien Roy (js@jeannot.org)
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Copyright (C) 1997 - 2002, Makoto Matsumoto and Takuji
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Constants used in the rk_double implementation by Isaku Wada.
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Name: Random
NCSA Open Source License
Copyright (c) 2019 Kevin Sheppard. All rights reserved.
Developed by: Kevin Sheppard (kevin.sheppard@economics.ox.ac.uk,
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Name: numpy.core.ma
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---
scipy:
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Name: fast_matrix_market
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Files: scipy/io/_fast_matrix_market/src/pystreambuf.h
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Files: scipy/special/Faddeeva.*
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Files: scipy/special/cephes/dd_*.[ch]
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Name: ampgo
Files: benchmarks/benchmarks/go_benchmark_functions/*.py
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Name: HiGHS
Files: scipy/optimize/_highs/*
License: MIT
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Name: Boost
Files: scipy/_lib/boost_math/*
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Name: Biasedurn
Files: scipy/stats/biasedurn/*
License 3-Clause BSD
For details, see scipy/stats/biasedurn/license.txt
---------- Forwarded message ---------
From: Agner Fog <agner@agner.org>
Date: Wed, Jul 22, 2020 at 8:54 PM
Subject: Re: Add BiasedUrn to SciPy?
To: Matt Haberland <mhaberla@calpoly.edu>
Cc: Warren Weckesser <warren.weckesser@gmail.com>
Dear Matt The C++ code for these distributions without binding to the R project
are available here:
https://www.agner.org/random/stocc.zip
You have my permission to use it in SciPy under the new BSD license.
Best regards,
Agner Fog
On 22/07/2020 17.05, Matt Haberland wrote:
Hi Agner, I'm a maintainer of the Python scientific computing library SciPy,
and I'm working on improving the capabilities of our statistics subpackage
scipy.stats. We'd like to add both Fisher's and Wallenius' noncentral
hypergeometric distributions, but these look quite challenging to implement.
We found your BiasedUrn package, and we'd love to wrap it, but we can't
include GPL-3 licensed code under our BSD-new license. Would you consider
re-licensing BiasedUrn under a more permissive license, such as BSD-new or
MIT, so we can include it in SciPy?
Thank you for considering it!
Matt
--
Matt Haberland
Assistant Professor
BioResource and Agricultural Engineering
08A-3K, Cal Poly
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Files: scipy/_build_utils/tempita/*
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Name: NumPy
Files: scipy/stats/_rcont/[logfactorial.h,logfactorial.c]
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and scipy/stats/_rcont/logfactorial.c
====================================================================== ======================================================================