LDA_SCVB | Latent Dirichlet Allocation with Stochastic

by mtbarta Java Version: Current License: No License

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

kandi X-RAY | LDA_SCVB Summary

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

Latent Dirichlet Allocation with Stochastic Collapsed Variational Bayes

Support

Quality

Security

License

Reuse

Support

LDA_SCVB has a low active ecosystem.

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

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of LDA_SCVB is current.

Quality

LDA_SCVB has no bugs reported.

Security

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

License

LDA_SCVB 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

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

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

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Train the SCV object
Run the LDA algorithm
Reads all documents in the given directory and returns them as a list of documents
Run the algorithm
Trains the LDA model
Run the LDA algorithm
Reads all documents in the given directory and returns them as a list of documents
Run the algorithm
The main method
Main training method
Returns a list of terms for each topic
Read the NPS data set
Returns an array of probabilities for each document topic
Gets the alpha value
Get the n - thta for a document and topic
Returns the probability of a document topic
Perform the processing
Call queue
Updates the contents of the given document
Utility method to print docTopics

Get all kandi verified functions for this library.

LDA_SCVB Key Features

No Key Features are available at this moment for LDA_SCVB.

LDA_SCVB Examples and Code Snippets

No Code Snippets are available at this moment for LDA_SCVB.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install LDA_SCVB

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