Palmetto | Palmetto is a quality measuring tool for topics | Topic Modeling library

by dice-group Java Version: v0.1.3 License: AGPL-3.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | Palmetto Summary

Palmetto is a Java library typically used in Artificial Intelligence, Topic Modeling applications. Palmetto has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However Palmetto build file is not available. You can download it from GitHub.

Palmetto is a quality measuring tool for topics. This is the implementation of coherence calculations for evaluating the quality of topics. If you want to learn more about coherence calculations and their meaning for topic evaluation, take a look at the project homepage - especially at the publications. Palmetto from DICE is licensed under a AGPL v3.0 License. Please take a look at the the wikipage to read how Palmetto can be used. If you would like to use a different index than the one we are providing, you can create your own index. If you are using Palmetto for an experiment or something similar that leads to a publication, please cite the paper "Exploring the Space of Topic Coherence Measures" that you can find on the project website. A link to the project website is welcome as well :).

Support

Quality

Security

License

Reuse

Support

Palmetto has a low active ecosystem.

It has 168 star(s) with 35 fork(s). There are 19 watchers for this library.

It had no major release in the last 12 months.

There are 9 open issues and 51 have been closed. On average issues are closed in 112 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Palmetto is v0.1.3

Quality

Palmetto has 0 bugs and 0 code smells.

Security

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

Palmetto code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Palmetto is licensed under the AGPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

Palmetto releases are available to install and integrate.

Palmetto 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.

Palmetto saves you 3786 person hours of effort in developing the same functionality from scratch.

It has 10507 lines of code, 588 functions and 192 files.

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

Top functions reviewed by kandi - BETA

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

Main method for testing
Returns an array with random ids
Reads a set of words from a file
Runs a set of coherences
Request document data for a given word
Calculate the confirmation values
Creates a vector with the given id
Request document length
Add counts from position to the document
Adds counts from small documents
Request document frequency
Returns a subset definition
Reads the Coherences from the command line
Returns the name of the model
Determines if there are enough words inside a single window
Determines counts for each word
Determines the counts for the specified words
Returns a subset definition that can be used to restrict the given words
Calculates the rank correlation coefficient
Main method for testing purposes
Add counts from the position to the document
Creates a Lucene index
Calculates the confirmation values
Calculate the confirmation values
Calculate the values of the confirmation probabilities
Calculates the values of the confirmation probabilities

Get all kandi verified functions for this library.

Palmetto Key Features

No Key Features are available at this moment for Palmetto.

Palmetto Examples and Code Snippets

No Code Snippets are available at this moment for Palmetto.

Community Discussions

Trending Discussions on Palmetto

Not same columns in train-est split for machine learning model Python

QUESTION

Not same columns in train-est split for machine learning model Python

Asked 2020-Apr-11 at 12:39

I am training a machine learning model in order to predict building price.

One of the columns is in what city the building is located. I have a lot of cities

...

ANSWER

Answered 2020-Apr-11 at 12:39

For these cases, when you're OneHot encoding the categorical variable, you want to set handle_unknown='ignore', so that unseen instances in the test set are ignored, and the output matrix has the same shape.

Here's a simple example:

Source https://stackoverflow.com/questions/61156724

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

Vulnerabilities

No vulnerabilities reported

Install Palmetto

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