largelda | Topic Modeling using Latent Dirichlet Allocation algorithm

by sameeraxiomine Java Version: Current License: Non-SPDX

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

kandi X-RAY | largelda Summary

largelda is a Java library. largelda has no bugs, it has no vulnerabilities, it has build file available and it has low support. However largelda has a Non-SPDX License. You can download it from GitHub.

An implementation of Topic Modeling using Latent Dirichlet Allocation algorithm which uses Memory Mapped Files to overcome the Heap Memory Limitations. This implementation will allow you to scale LDA to millions of documents on a single machine. Currently updating this Library to use the LargeCollections library I have developed. The Wiki is still work in progress. Please send me an email to sameer@axiomne.com if you need any support to run this library. I will be happy to help out with respect to user documentation.

Support

Quality

Security

License

Reuse

Support

largelda has a low active ecosystem.

It has 2 star(s) with 0 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of largelda is current.

Quality

largelda has no bugs reported.

Security

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

License

largelda has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

largelda 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.

Top functions reviewed by kandi - BETA

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

Returns the indices of each feature vector in the given vocabulary
Returns the full name of the feature table
Get the index of each feature in the dictionary in the given dictionary
Returns the indices of the indices that are indices of the given feature vectors
Returns the full name of the feature table
Get the index of each feature in the dictionary in the given dictionary
Main method
Get the working directory
Computes the dot product of this vector
Computes the dot product of this vector with another vector
Sort indices
Remove duplicates
Create a string representation of topic phrase
Set the rank order
Create a BigEntries 2
Initialize the generator
This method will reclaim the chronicle
Checks for equality
Empty and store the indexes
Prepare an array of runnables
Get the next instance
Testing
Custom serialization
Deserialization
Infer topics from the provided instances
Output the feature vectors to a text file
Reads data from a state file
Calculate this vector and return the result

Get all kandi verified functions for this library.

largelda Key Features

No Key Features are available at this moment for largelda.

largelda Examples and Code Snippets

No Code Snippets are available at this moment for largelda.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install largelda

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