fraudar | A wrapper of FRAUDAR algorithm | Data Mining library

by rgmining Python Version: v0.7.0 License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | fraudar Summary

fraudar is a Python library typically used in Data Processing, Data Mining applications. fraudar has no vulnerabilities, it has a Strong Copyleft License and it has low support. However fraudar has 1 bugs and it build file is not available. You can install using 'pip install fraudar' or download it from GitHub, PyPI.

This package implements a wrapper of FRAUDAR algorithm to provide APIs defined in Review Graph Mining project.

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Quality

Security

License

Reuse

Support

fraudar has a low active ecosystem.

It has 55 star(s) with 13 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 111 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of fraudar is v0.7.0

Quality

fraudar has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 102 code smells.

Security

fraudar has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

fraudar code analysis shows 0 unresolved vulnerabilities.

There are 8 security hotspots that need review.

License

fraudar is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

fraudar releases are available to install and integrate.

Deployable package is available in PyPI.

fraudar has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

fraudar saves you 244 person hours of effort in developing the same functionality from scratch.

It has 594 lines of code, 48 functions and 14 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Given a list of blocks and a list of ReviewGraphs analyze the review graph
Runs greedy algorithm
Store the product matrix
Read data from file
Convert a list of edges to a sparse matrix
Load packages from a file
Computes the weight matrix for a given matrix M
Fast greedy elimination
Change the value at the given index
Get the minimum value of the branch
Change the value of the node at the given index
Compute square root of a matrix
Dump the tree
Calculate the FMeasure
Calculate the precision between two objects
Calculate the intersection of two sets
Calculate the row F measure
Read file contents

Get all kandi verified functions for this library.

fraudar Key Features

No Key Features are available at this moment for fraudar.

fraudar Examples and Code Snippets

No Code Snippets are available at this moment for fraudar.

Community Discussions

Trending Discussions on fraudar

Graph that connect between two groups

QUESTION

Graph that connect between two groups

Asked 2018-Nov-14 at 17:59

I created a program that accepts two groups of sentences as input and makes some comparison between them. Each sentence from group 'A' has one or more matching sentences in group 'B', and sentence from group 'B' can match more than one sentence in 'A'. Each relationship has a numeric value. I'm trying to create a graph describing these connections for the purpose of easy visualization of the connections. I thought to create a bipartite graph so that each arc has value, Somthing like the example image below (group A on the left and group B on the right) (from here).

I am looking for other ideas or maybe an library that I can use for it. Thank you.

...

ANSWER

Answered 2018-Oct-22 at 18:40

A bi-partite graph makes a lot of sense for this and if you use the networkX library you can easily create one. Assuming you have your elements in A and B and a list containing the edges

Source https://stackoverflow.com/questions/52935522

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

Vulnerabilities

No vulnerabilities reported

Install fraudar

Use pip to install this package.

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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