lyq-algorithms-lib | lyq算法库，涉及到相关数据挖掘，解压缩，模式匹配，图算法等多领域算法

by linyiqun Java Version: Current License: No License

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

kandi X-RAY | lyq-algorithms-lib Summary

lyq-algorithms-lib is a Java library. lyq-algorithms-lib has no vulnerabilities and it has low support. However lyq-algorithms-lib has 49 bugs and it build file is not available. You can download it from GitHub.

lyq算法库，涉及到相关数据挖掘，解压缩，模式匹配，图算法等多领域算法

Support

Quality

Security

License

Reuse

Support

lyq-algorithms-lib has a low active ecosystem.

It has 123 star(s) with 93 fork(s). There are 20 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 1097 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of lyq-algorithms-lib is current.

Quality

lyq-algorithms-lib has 49 bugs (25 blocker, 3 critical, 15 major, 6 minor) and 470 code smells.

Security

lyq-algorithms-lib has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

lyq-algorithms-lib code analysis shows 0 unresolved vulnerabilities.

There are 18 security hotspots that need review.

License

lyq-algorithms-lib 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

lyq-algorithms-lib releases are not available. You will need to build from source code and install.

lyq-algorithms-lib has no build file. You will be need to create the build yourself to build the component from source.

lyq-algorithms-lib saves you 2289 person hours of effort in developing the same functionality from scratch.

It has 5002 lines of code, 318 functions and 64 files.

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

Top functions reviewed by kandi - BETA

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

Sample filter
Entry point to the offline search tool
Split the cluster
Main method for testing
User scan
Main program
Main entry point
Test a random forest
Main method
Searches the input text
Main method to compare the images
Main method for testing
Display input tool
The main method
Start building the decision tree
Calculate SDBM hash
Read the query data file
Logistic regression
Calculate the DJB hash of a String
Reads data from a file
Produces the initial init sets
Read data file
Read maze data
Read the data file
Reads the source file and adds it to stdout
Search the strong connected graph
Read graph file
Read a graph from a file
Read the data from the file
Parse the newscontent
Reads the data from a file

Get all kandi verified functions for this library.

lyq-algorithms-lib Key Features

No Key Features are available at this moment for lyq-algorithms-lib.

lyq-algorithms-lib Examples and Code Snippets

No Code Snippets are available at this moment for lyq-algorithms-lib.

Community Discussions

No Community Discussions are available at this moment for lyq-algorithms-lib.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install lyq-algorithms-lib

You can download it from GitHub.
You can use lyq-algorithms-lib like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the lyq-algorithms-lib component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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 .

Find more information at: