Package: genif
Generalized Isolation ForestThis repository provides an Python implementation of the "Generalized Isolation Forest" (GIF) algorithm for unsupervised detection of outliers in data.
GIF has originally been proposed in:Buschjäger, S., Honysz, PJ. & Morik, K. Randomized outlier detection with trees. International Journal of Data Science and Analytics (2020).https://doi.org/10.1007/s41060-020-00238-wMore information on this package, including a quick start guide, examples and how to use this within C++, is givenhere.Install from the Python Package Index (PyPI, recommended)We provide Linux wheel packages for various Python versions, which can be installed like this:pip install genifWindows or macOS builds are currentlynotprovided. Please resort to installation from source, if you are either using Windows or macOS.Install from sourceRequirements:GCC >= 5.4.0 (older versions or other compilers such as Clang or ICC may work, but have not been tested yet.)CMake >= 3.5.1OpenMPBuild stepsRecursively clone this repository by issueinggit clone --recurse-submodules git@github.com:philippjh/genif.gitChange your working directory to the root of the repository. Runpip3 install .The Python package manager will now build and install the package.AcknowledgmentsPart of the work on this paper has been supported by Deutsche Forschungsgemeinschaft (DFG) within the Collaborative Research Center SFB 876 "Providing Information by
Resource-Constrained Analysis", project A1,http://sfb876.tu-dortmund.deand by the German Competence Center for Machine Learning Rhine Ruhr
(ML2R,https://www.ml2r.de, 01IS18038A), funded by the German Federal Ministry for Education and Research.Third Party LicensesThis open source project would not have been possible without other open source projects, which we want to acknowledge here.EigenThis library uses the MPL2-licensed features of Eigen, a C++ template library for linear algebra. A copy of the MPL2 license is available athttps://www.mozilla.org/en-US/MPL/2.0/.
The source code of the Eigen library can be obtained athttp://eigen.tuxfamily.org/orhttps://gitlab.com/libeigen/eigen.nanoflannSoftware License Agreement (BSD License)Copyright 2008-2009 Marius Muja (mariusm@cs.ubc.ca). All rights reserved. Copyright 2008-2009 David G. Lowe (lowe@cs.ubc.ca). All rights reserved. Copyright 2011 Jose L. Blanco (joseluisblancoc@gmail.com). All rights reserved.THE BSD LICENSERedistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.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
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(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.pybind11Copyright (c) 2016 Wenzel Jakobwenzel.jakob@epfl.ch, All rights reserved.Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:Redistributions of source code must retain the above copyright notice, this
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