elasticsearch-vector-scoring | Score documents with pure dot product | Machine Learning library

 by   MLnick Java Version: v5.4.0 License: Apache-2.0

kandi X-RAY | elasticsearch-vector-scoring Summary

kandi X-RAY | elasticsearch-vector-scoring Summary

elasticsearch-vector-scoring is a Java library typically used in Artificial Intelligence, Machine Learning, Tensorflow, Bert applications. elasticsearch-vector-scoring 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 aim of this plugin is to enable real-time scoring of vector-based models, in particular factor-based recommendation models. In this case, user and item factor vectors are indexed using the Delimited Payload Token Filter, e.g. the vector [1.2, 0.1, 0.4, -0.2, 0.3] is indexed as a string: 0|1.2 1|0.1 2|0.4 3|-0.2 4|0.3. This stores the vector indices as "terms" and the vector values as "payloads".
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            kandi-support Support

              elasticsearch-vector-scoring has a low active ecosystem.
              It has 237 star(s) with 55 fork(s). There are 18 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 15 have been closed. On average issues are closed in 352 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of elasticsearch-vector-scoring is v5.4.0

            kandi-Quality Quality

              elasticsearch-vector-scoring has 0 bugs and 0 code smells.

            kandi-Security Security

              elasticsearch-vector-scoring has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              elasticsearch-vector-scoring code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              elasticsearch-vector-scoring 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.

            kandi-Reuse Reuse

              elasticsearch-vector-scoring releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              elasticsearch-vector-scoring saves you 82 person hours of effort in developing the same functionality from scratch.
              It has 212 lines of code, 6 functions and 4 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed elasticsearch-vector-scoring and discovered the below as its top functions. This is intended to give you an instant insight into elasticsearch-vector-scoring implemented functionality, and help decide if they suit your requirements.
            • Performs the score query
            • The native script factory
            Get all kandi verified functions for this library.

            elasticsearch-vector-scoring Key Features

            No Key Features are available at this moment for elasticsearch-vector-scoring.

            elasticsearch-vector-scoring Examples and Code Snippets

            No Code Snippets are available at this moment for elasticsearch-vector-scoring.

            Community Discussions

            Trending Discussions on elasticsearch-vector-scoring

            QUESTION

            How can I do this in painless script Elasticsearch 5.3
            Asked 2017-May-09 at 18:29

            We're trying to replicate this ES plugin https://github.com/MLnick/elasticsearch-vector-scoring. The reason is AWS ES doesn't allow any custom plugin to be installed. The plugin is just doing dot product and cosine similarity so I'm guessing it should be really simple to replicate that in painless script. It looks like groovy scripting is deprecated in 5.0.

            Here's the source code of the plugin.

            ...

            ANSWER

            Answered 2017-May-09 at 18:29

            Option 1

            Due to the fact that @model_factor is a text field, in painless scripting, it would be possible to access it, setting fielddata=true in the mapping. So the mapping should be:

            Source https://stackoverflow.com/questions/43783051

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

            Vulnerabilities

            No vulnerabilities reported

            Install elasticsearch-vector-scoring

            Targets Elasticsearch 5.4.0 and Java 1.8.
            Start Elasticsearch: ELASTIC_HOME/bin/elasticsearch. You should see the plugin registered at Elasticsearch startup:.
            Build: mvn package
            Install plugin in Elasticsearch: ELASTIC_HOME/bin/elasticsearch-plugin install file:///PROJECT_HOME/target/releases/elasticsearch-vector-scoring-5.4.0.zip (stop ES first).

            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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          • HTTPS

            https://github.com/MLnick/elasticsearch-vector-scoring.git

          • CLI

            gh repo clone MLnick/elasticsearch-vector-scoring

          • sshUrl

            git@github.com:MLnick/elasticsearch-vector-scoring.git

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