Similarity-based-hierarchical-SVM | class classifiers using similarity function and tree

by phizaz Python Version: Current License: No License

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kandi X-RAY | Similarity-based-hierarchical-SVM Summary

Similarity-based-hierarchical-SVM is a Python library. Similarity-based-hierarchical-SVM has no bugs, it has no vulnerabilities and it has low support. However Similarity-based-hierarchical-SVM build file is not available. You can download it from GitHub.

the implementation of multi-class classifiers using similarity function and tree techniques

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Similarity-based-hierarchical-SVM has a low active ecosystem.

It has 4 star(s) with 4 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

Similarity-based-hierarchical-SVM has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Similarity-based-hierarchical-SVM is current.

Quality

Similarity-based-hierarchical-SVM has no bugs reported.

Security

Similarity-based-hierarchical-SVM has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Similarity-based-hierarchical-SVM does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Similarity-based-hierarchical-SVM releases are not available. You will need to build from source code and install.

Similarity-based-hierarchical-SVM has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed Similarity-based-hierarchical-SVM and discovered the below as its top functions. This is intended to give you an instant insight into Similarity-based-hierarchical-SVM implemented functionality, and help decide if they suit your requirements.

Cross - validation
Constructs the MST graph
Find a member in the tree
Double link
Calculates the separation coefficient for each training class
Squared radius
Returns the union of the MST structure
Predict the value for the given sample
Return a list of nodes connected to this node
Remove the link between a and b
Returns a binary tree
Add a link to a node
Add links to the right node
Compute the Rbf matrix for the given vectors
Merges two nodes
Cross validation
Train the SVC
Runs prediction on the given classes
Measure the execution time

Get all kandi verified functions for this library.

Similarity-based-hierarchical-SVM Key Features

No Key Features are available at this moment for Similarity-based-hierarchical-SVM.

Similarity-based-hierarchical-SVM Examples and Code Snippets

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Community Discussions

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Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Similarity-based-hierarchical-SVM

You can download it from GitHub.
You can use Similarity-based-hierarchical-SVM like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

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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