spark

by WebDataScience Java Version: Current License: No License

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

kandi X-RAY | spark Summary

spark is a Java library. spark has no bugs and it has low support. However spark has 3 vulnerabilities and it build file is not available. You can download it from GitHub.

Set up the code as a Java project in eclipse. Export the project from above step as a jar file. Open ProximityGraph.java in eclipse. Open the Run Configurations window for ProximityGraph.java and give the following arguments in the arguments tab If spark is being run in local mode then the first argument is local Path to the spark installation should be the second argument eg. /opt/spark/spark-0.9 Path to the input file should be the third argument eg. /opt/spark/data/test/test.csv.

Support

Quality

Security

License

Reuse

Support

spark has a low active ecosystem.

It has 1 star(s) with 2 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

spark has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of spark is current.

Quality

spark has no bugs reported.

Security

spark has 3 vulnerability issues reported (1 critical, 1 high, 1 medium, 0 low).

License

spark 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

spark releases are not available. You will need to build from source code and install.

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

The main entry point
Converts a read line into an array of double values
Get a parallel iteration
Get the result
Read the parameters from a file
Perform the upper and lower approximation of the upper and lower approximation
Calculate the similarity between two rows
Get distance
Parse a line from a comma - separated list of values
The main function
Converts a dataset into a matrix
Adds the two matrices
Package private for testing
Calculate the sum of two doubles
Returns the maximum value of each attribute in the dataset
Returns the minimum value of each attribute in the dataset
Invokes the method on the stack
Test 2
The main loop

Get all kandi verified functions for this library.

spark Key Features

No Key Features are available at this moment for spark.

spark Examples and Code Snippets

No Code Snippets are available at this moment for spark.

Community Discussions

No Community Discussions are available at this moment for spark.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install spark

You can download it from GitHub.
You can use spark 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 spark 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 .

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