HOMER | Hierarchical Partitioning of the Output Space

by ypapanik Java Version: Current License: No License

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

kandi X-RAY | HOMER Summary

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

Hierarchical Partitioning of the Output Space in Multi-label Data - code.

Support

Quality

Security

License

Reuse

Support

HOMER has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of HOMER is current.

Quality

HOMER has no bugs reported.

Security

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

License

HOMER 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

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

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

Adds NGrams to the given corpus
Reads a document containing nGrams from a list of strings
Gets the tokens as sentences
Gets the subgrams of this grammar
Evaluate the hypothesis
Read predictions from a file
Finds the index of the key in the map
Runs the program
Make prediction on a single node
Prunes all occurrences of the probabilities in a map
Calculates the cosine similarity between two documents
Runs the clustering algorithm
Prints the clustering results
Run the SUBCLU
Read truth map
Tokenize a sentence
Performs a SUBCLU algorithm
Demonstrates how to run the Clustering algorithm
Trains the model
Make a prediction on the model
Stop criterion
Vectorize the metalabels
Write probabilistic probabilene probabilities
Main entry point for testing purposes
Main method for testing
Convert a dataset from a command line to a dataset

Get all kandi verified functions for this library.

HOMER Key Features

No Key Features are available at this moment for HOMER.

HOMER Examples and Code Snippets

No Code Snippets are available at this moment for HOMER.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install HOMER

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