adpredictor-java | Java implementation of the Microsoft 's AdPredictor algorithm
kandi X-RAY | adpredictor-java Summary
kandi X-RAY | adpredictor-java Summary
adpredictor-java is a Java library. adpredictor-java has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
Java implementation of the Microsoft's AdPredictor algorithm
Java implementation of the Microsoft's AdPredictor algorithm
Support
Quality
Security
License
Reuse
Support
adpredictor-java has a low active ecosystem.
It has 17 star(s) with 5 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. On average issues are closed in 853 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of adpredictor-java is current.
Quality
adpredictor-java has 0 bugs and 0 code smells.
Security
adpredictor-java has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
adpredictor-java code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
adpredictor-java 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
adpredictor-java 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.
adpredictor-java saves you 145 person hours of effort in developing the same functionality from scratch.
It has 363 lines of code, 37 functions and 7 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed adpredictor-java and discovered the below as its top functions. This is intended to give you an instant insight into adpredictor-java implemented functionality, and help decide if they suit your requirements.
- Trains the model
- Set the weight for the feature
- Converts a label to a double
- CDF
- Returns a string representation of this feature
- Returns the global prior weight
- String representation of this Gaussian
- Get the weight for a given feature
- Calculates the PDF of a normal distribution function
- Computes the standard deviations of a Gaussian variable
- Adjusts the variance of a Gaussian
- Returns the active mean variance
- Returns the importance of the given feature
- Creates features for the specified number of features
- Predict the average mean variance
- Return a bias feature
- Computes the KL divergence between two random variables
- Creates a Gaussian weight for the bias of the model
- Returns the inverse normal normal function
- Compares this object to another
Get all kandi verified functions for this library.
adpredictor-java Key Features
No Key Features are available at this moment for adpredictor-java.
adpredictor-java Examples and Code Snippets
No Code Snippets are available at this moment for adpredictor-java.
Community Discussions
No Community Discussions are available at this moment for adpredictor-java.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install adpredictor-java
You can download it from GitHub.
You can use adpredictor-java 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 adpredictor-java 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 .
You can use adpredictor-java 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 adpredictor-java 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:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page