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OSL.txt
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open_source_licenses.txt
Resource-Efficient Supervised Anomaly Detection Classifier 1.0 Beta
======================================================================
The following copyright statements and licenses apply to various open
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==================== TABLE OF CONTENTS ====================
The following is a listing of the open source components detailed in
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SECTION 1: Apache License, V2.0
>>> xgboost-1.1.1
SECTION 2: BSD-STYLE, MIT-STYLE, OR SIMILAR STYLE LICENSES
>>> pandas-0.24.2
>>> numpy-1.18.5
>>> cmake-3.20.2
>>> scikit-learn-0.24.2
APPENDIX. Standard License Files
>>> Apache License, V2.0
>>>
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-------------------- SECTION 1: Apache License, V2.0 --------------------
>>> xgboost-1.1.1
Found in: xgboost-master/LICENSE
Copyright (c) 2019
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ADDITIONAL LICENSE INFORMATION
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xgboost-master/jvm-packages/scalastyle-config.xml
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> BSD-3
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> BSL1.0
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> MIT
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-------------------- SECTION 2: BSD-STYLE, MIT-STYLE, OR SIMILAR STYLE LICENSES --------------------
>>> pandas-0.24.2
BSD 3-Clause License
Copyright (c) 2008-2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
All rights reserved.
Redistribution and use in source and binary forms, with or without
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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ADDITIONAL LICENSE INFORMATION
> BSD-3
packers.py
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packers.pyc
Copyright (c) 2013, Lev Givon.
>>> numpy-1.18.5
Copyright (c) 2005-2019, NumPy Developers.
All rights reserved.
Redistribution and use in source and binary forms, with or without
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met:
* Redistributions of source code must retain the above copyright
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* Redistributions in binary form must reproduce the above
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* Neither the name of the NumPy Developers nor the names of any
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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> Apache2.0
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numpy-1.18.5/numpy/random/src/pcg64/pcg64.h
Copyright 2015 Robert Kern <[email protected]>
numpy-1.18.5/numpy/random/src/pcg64/pcg64.orig.h
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> BSD-2
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Copyright (c) 2011 Kevin Dunn, Surya K, Pauli Virtanen, the Sphinx team
numpy-1.18.5/doc/source/license.rst