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Copyright and Trademark Notices
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© 2025 NV5 Geospatial Solutions, Inc.
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ENVI® Machine Learning Software Components
Inno Setup
© 1997-2023 Jordan Russell. All rights reserved. Portions Copyright © 2000-2023 Martijn Laan. All rights reserved.
See About IDL > Legal and Copyright Notices in IDL Help for Inno Setup license details.
python
© 2001-2023 Python Software Foundation. All rights reserved. © 2000 BeOpen.com. All rights reserved. © 1995-2000 Corporation for National Research Initiatives. All rights reserved. © 1991-1995 Stichting Mathematisch Centrum. All rights reserved.
See About IDL > Legal and Copyright Notices in IDL Help for python license details.
scipy
© 2008-2023, SciPy Developers.
BSD-3-Clause
© 2001-2002 Enthought, Inc. 2003, SciPy Developers. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS 'AS IS' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE 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 CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, 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.
scikit-learn
2007-2022 The scikit-learn developers.
Scikit-learn (Sklearn) is the most useful and robust library for machine learning in Python. It provides a selection of efficient tools for machine learning and statistical modeling including classification, regression, clustering and dimensionality reduction via a consistence interface in Python. This library, which is largely written in Python, is built upon NumPy, SciPy and Matplotlib.