rated-ranking-evaluator | Search Quality Evaluation Tool for Apache Solr

by SeaseLtd Java Version: 1.1 License: Apache-2.0

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

kandi X-RAY | rated-ranking-evaluator Summary

rated-ranking-evaluator is a Java library. rated-ranking-evaluator has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

The Rated Ranking Evaluator (RRE) is a search quality evaluation tool which, as the name suggests, evaluates the quality of results coming from a search infrastructure. At the moment Apache Solr and Elasticsearch are supported (see the documentation for supported versions).

Support

Quality

Security

License

Reuse

Support

rated-ranking-evaluator has a low active ecosystem.

It has 146 star(s) with 32 fork(s). There are 12 watchers for this library.

It had no major release in the last 12 months.

There are 15 open issues and 51 have been closed. On average issues are closed in 110 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of rated-ranking-evaluator is 1.1

Quality

rated-ranking-evaluator has 0 bugs and 0 code smells.

Security

rated-ranking-evaluator has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

rated-ranking-evaluator code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

rated-ranking-evaluator is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

rated-ranking-evaluator releases are available to install and integrate.

Build file is available. You can build the component from source.

rated-ranking-evaluator saves you 5242 person hours of effort in developing the same functionality from scratch.

It has 11009 lines of code, 744 functions and 202 files.

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

Top functions reviewed by kandi - BETA

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

Creates the engine
Execute the engine
Emit the search platform
Execute the search
Main execution method
Performs index creation
Adds namespaces to a node
Evaluate a single ratings set
Unzip a corpora file
Writes the report
Creates an index
Write metrics
Configure the Elasticsearch index
Returns value factories
Create a value factory for this instance
Returns a value factory for all relevant documents
Create the relevant documents
Initialize node config
Performs the actual load process
Executes a query
Create the header of the versions sheet
This method returns a value factory that can be used to deal with decisions
Converts a Query to a List of QueryVersionItems
Add the topology header
Execute the given query
Create the metrics header

Get all kandi verified functions for this library.

rated-ranking-evaluator Key Features

No Key Features are available at this moment for rated-ranking-evaluator.

rated-ranking-evaluator Examples and Code Snippets

No Code Snippets are available at this moment for rated-ranking-evaluator.

Community Discussions

No Community Discussions are available at this moment for rated-ranking-evaluator.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install rated-ranking-evaluator

You can download it from GitHub.
You can use rated-ranking-evaluator 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 rated-ranking-evaluator 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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