frauddetection | Machine learning Fraud Detection with SPARK and OCTAVE | Machine Learning library

by klevis Java Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | frauddetection Summary

frauddetection is a Java library typically used in Artificial Intelligence, Machine Learning, Spark applications. frauddetection has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Machine learning Fraud Detection with SPARK and OCTAVE

Support

Quality

Security

License

Reuse

Support

frauddetection has a low active ecosystem.

It has 19 star(s) with 14 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 13 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of frauddetection is current.

Quality

frauddetection has 0 bugs and 0 code smells.

Security

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

frauddetection code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

frauddetection 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

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

Build file is available. You can build the component from source.

frauddetection saves you 456 person hours of effort in developing the same functionality from scratch.

It has 1076 lines of code, 156 functions and 12 files.

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

Top functions reviewed by kandi - BETA

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

Runs the fraud detection algorithm
Get the algorithm configuration from properties
Get the iFraud detection algorithm
Set the Hadoop home environment variable
Load data from a file
Returns true if all features are more gaussian
Gets the file name
Find the best epsilon distribution
Calculates the F1 probability of a data point
Set the size of the training data
Sets the cross data sizes
Sets the test data sizes
Filter the anomaly data
This method filters out the anomaly data
Filter regular data
Filters regular data based on the regular DataRDD
Filter the list of labeled points
Set the cross data size
Runs the test algorithm with the given data
Selects the best epsilon for a single distribution
Random random data
Randomly generates random data
Loads data from a file
Main method for testing
Gets the F1 prediction
Sets the size of the train data

Get all kandi verified functions for this library.

frauddetection Key Features

No Key Features are available at this moment for frauddetection.

frauddetection Examples and Code Snippets

No Code Snippets are available at this moment for frauddetection.

Community Discussions

Trending Discussions on frauddetection

Unable to debug Flink example in Visual Studio due to absence of mainClass

Spring boot post rest call "Required request body is missing"

How To Use Laravel Factory For Objects ( Not Models )

QUESTION

Unable to debug Flink example in Visual Studio due to absence of mainClass

Asked 2020-Jun-09 at 13:09

My aim is to debug this code to see it live as suggested in the tutorial.

My IDE is Visual Studio Code and the language of this example is Java. I am running a Flink Datastream API tutorial.

When I put a breakpoint at any of the line, I get the following error:

...

ANSWER

Answered 2020-Jun-09 at 13:09

I believe you are not able to compile and run the application. In your pom.xml, this is causing the issue

Source https://stackoverflow.com/questions/62269936

QUESTION

Spring boot post rest call "Required request body is missing"

Asked 2019-Dec-30 at 14:57

I have a simple angular school project with a spring boot backend. Whenever I try to send something from the front to the backend via a rest call I'm getting a "Required request body is missing"

Front-end code

...

ANSWER

Answered 2019-Dec-30 at 14:57

Solved:

Module was missing a WebConfig to verify cors. Added it to the project and works as expected.

Source https://stackoverflow.com/questions/59532494

QUESTION

How To Use Laravel Factory For Objects ( Not Models )

Asked 2019-Dec-02 at 12:39

I have a Class Like This :

...

ANSWER

Answered 2019-Dec-02 at 12:39

After Searching a while, I Found This Solution

for Using Laravel Factory for Normal Objects ( Like My Ip Class Which is not extends Model ) you should copy Below codes to your Object ( in my example Ip class )

Source https://stackoverflow.com/questions/59135161

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

Vulnerabilities

No vulnerabilities reported

Install frauddetection

You can download it from GitHub.
You can use frauddetection 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 frauddetection 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: