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kandi X-RAY | LIBSVM-with-intersection-kernel Summary
kandi X-RAY | LIBSVM-with-intersection-kernel Summary
LIBSVM-with-intersection-kernel is a HTML library. LIBSVM-with-intersection-kernel has no bugs, it has no vulnerabilities and it has low support. However LIBSVM-with-intersection-kernel has a Non-SPDX License. You can download it from GitHub.
Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic model selection tool for C-SVM classification. This document explains the use of libsvm. Libsvm is available at Please read the COPYRIGHT file before using libsvm.
Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic model selection tool for C-SVM classification. This document explains the use of libsvm. Libsvm is available at Please read the COPYRIGHT file before using libsvm.
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LIBSVM-with-intersection-kernel has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
LIBSVM-with-intersection-kernel has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of LIBSVM-with-intersection-kernel is current.
Quality
LIBSVM-with-intersection-kernel has no bugs reported.
Security
LIBSVM-with-intersection-kernel has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
LIBSVM-with-intersection-kernel has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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LIBSVM-with-intersection-kernel releases are not available. You will need to build from source code and install.
Installation instructions, examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of LIBSVM-with-intersection-kernel
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of LIBSVM-with-intersection-kernel
LIBSVM-with-intersection-kernel Key Features
No Key Features are available at this moment for LIBSVM-with-intersection-kernel.
LIBSVM-with-intersection-kernel Examples and Code Snippets
No Code Snippets are available at this moment for LIBSVM-with-intersection-kernel.
Community Discussions
No Community Discussions are available at this moment for LIBSVM-with-intersection-kernel.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install LIBSVM-with-intersection-kernel
If you are new to SVM and if the data is not large, please go to `tools' directory and use easy.py after installation. It does everything automatic — from data scaling to parameter selection. Usage: easy.py training_file [testing_file]. More information about parameter selection can be found in `tools/README.'.
On Unix systems, type `make' to build the `svm-train' and `svm-predict' programs. Run them without arguments to show the usages of them. On other systems, consult `Makefile' to build them (e.g., see 'Building Windows binaries' in this file) or use the pre-built binaries (Windows binaries are in the directory `windows').
On Unix systems, type `make' to build the `svm-train' and `svm-predict' programs. Run them without arguments to show the usages of them. On other systems, consult `Makefile' to build them (e.g., see 'Building Windows binaries' in this file) or use the pre-built binaries (Windows binaries are in the directory `windows').
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For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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