elasticsearch-learning-to-rank | integrate Learning to Rank ( aka machine learning | Plugin library

by o19s Java Version: 1.5.8-es8.5.3 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | elasticsearch-learning-to-rank Summary

elasticsearch-learning-to-rank is a Java library typically used in Plugin applications. elasticsearch-learning-to-rank has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub, Maven.

The Elasticsearch Learning to Rank plugin uses machine learning to improve search relevance ranking. It's powering search at places like Wikimedia Foundation and Snagajob!.

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Quality

Security

License

Reuse

Support

elasticsearch-learning-to-rank has a medium active ecosystem.

It has 1430 star(s) with 359 fork(s). There are 82 watchers for this library.

It had no major release in the last 12 months.

There are 32 open issues and 221 have been closed. On average issues are closed in 31 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of elasticsearch-learning-to-rank is 1.5.8-es8.5.3

Quality

elasticsearch-learning-to-rank has 0 bugs and 0 code smells.

Security

elasticsearch-learning-to-rank has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

elasticsearch-learning-to-rank code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

elasticsearch-learning-to-rank 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

elasticsearch-learning-to-rank releases are available to install and integrate.

Deployable package is available in Maven.

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

Installation instructions, examples and code snippets are available.

It has 16860 lines of code, 1551 functions and 156 files.

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

Top functions reviewed by kandi - BETA

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

Updates the statistics for the current search
Returns an aggregation value
Returns the score for the specified feature name
Bump stats
Returns the weight of the query
Returns the variance of the data
Returns the sum of all values
Create an XContent object
Create an XContentBuilder for this builder
Prepares a request for execution
Start the builder
Clears the cache operation
Returns a weight based on the index mode
This method is responsible for determining the presence of features
Performs the actual query
Transforms a multi search response into a response
Store a stored feature set
Rewrite query
Populate the REST request consumer
Generate the query
Converts this feature set to a lucene lucene query
Calculates the total score of the subscorer
Prepares the REST request
Extracts the values of the feature set
Overriding superclass method for subclasses
Performs a Ranker query on the server

Get all kandi verified functions for this library.

elasticsearch-learning-to-rank Key Features

No Key Features are available at this moment for elasticsearch-learning-to-rank.

elasticsearch-learning-to-rank Examples and Code Snippets

No Code Snippets are available at this moment for elasticsearch-learning-to-rank.

Community Discussions

Trending Discussions on elasticsearch-learning-to-rank

Write a dockerfile for elastic container

How can I implement pairwise query-dependent learning-to-rank in Azure Search?

no [query] registered for [query] error int ltr plugin of elasticsearch

QUESTION

Write a dockerfile for elastic container

Asked 2019-Nov-27 at 06:31

Is there any ready docker image available with this addon already installed?

https://github.com/o19s/elasticsearch-learning-to-rank#installing

If no, what are the steps to write a dockerfile for this?

...

ANSWER

Answered 2019-Nov-27 at 06:31

Just added these lines to standard elastic docerfile

Source https://stackoverflow.com/questions/59008489

QUESTION

How can I implement pairwise query-dependent learning-to-rank in Azure Search?

Asked 2019-Mar-23 at 20:00

The problem:

I am setting up a product that utilizes Azure Search, and one of the requirements is that the results of a search conduct multi-stage learning-to-rank where the final stage involves a pairwise query-dependent machine-learned model such as RankNet.

Is there any existing support in Azure Search for this? If not, where in the Azure Search pipeline would you recommend I start?

What I have tried:

I had been hoping to find something similar to the ElasticSearch LTR Plugin but have not been able to.

The only option I can currently think of is to set-up a server which forwards the query from the front-end to Azure Search, re-ranks the search results my pairwise LTR methods, reconstructs the re-ranked search results, and sends those to the front-end.

However, I am very apprehensive about the inefficiency of this option and it would be unnecessary if there is an existing way for me to do this.

Language / Libraries

If relevant: I am coding primarily in C# and would be using CNTK for machine-learning.

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ANSWER

Answered 2019-Mar-23 at 20:00

At this time, your suggestion is the way to go. Azure Search does not currently offer a way to inject a custom ranker within the search pipeline. You would need to config your query to return a large amount of results and then re-rank yourself. Sorry we do not have a better answer than this right now. If you have time, it would be great if you could cast your vote for this here as we are hearing this more often lately.

Source https://stackoverflow.com/questions/55309021

QUESTION

no [query] registered for [query] error int ltr plugin of elasticsearch

Asked 2017-Nov-11 at 08:43

I am using ltr plugin for elasticsearch and I am doing exactly what documentation said. here is my featureset:

...

ANSWER

Answered 2017-Nov-11 at 08:43

I found the answer. you should remove query keyword in template:

Source https://stackoverflow.com/questions/47119052

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

Vulnerabilities

No vulnerabilities reported

Install elasticsearch-learning-to-rank

Notes if you want to dig into the code or build for a version there's no build for, please feel free to run the build and installation process yourself:.