wonpreprocessing | Preprocessing of input for won matching
kandi X-RAY | wonpreprocessing Summary
kandi X-RAY | wonpreprocessing Summary
wonpreprocessing is a Java library. wonpreprocessing 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.
Different tasks are called in this process (e.g. Java-based tasks, python-based tasks). The MailProcessing Java program calls a Gate application (in src/main/resources/) to annotate mail content. Needs are created from WANT and OFFER mails and connections between them can be specified in a connections file. Afterwards a 3-way-tensor object is created as input to evaluate different algorithms (e.g. RESCAL) in python (evaluate_link_prediction.py) that can be used to predict further connections between needs. Also detailed statistics about the matching of every single need can be written including a gexf graph which can be visualized with Gephi (for example.
Different tasks are called in this process (e.g. Java-based tasks, python-based tasks). The MailProcessing Java program calls a Gate application (in src/main/resources/) to annotate mail content. Needs are created from WANT and OFFER mails and connections between them can be specified in a connections file. Afterwards a 3-way-tensor object is created as input to evaluate different algorithms (e.g. RESCAL) in python (evaluate_link_prediction.py) that can be used to predict further connections between needs. Also detailed statistics about the matching of every single need can be written including a gexf graph which can be visualized with Gephi (for example.
Support
Quality
Security
License
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Support
wonpreprocessing has a low active ecosystem.
It has 1 star(s) with 2 fork(s). There are 20 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 14 have been closed. On average issues are closed in 26 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of wonpreprocessing is current.
Quality
wonpreprocessing has 0 bugs and 0 code smells.
Security
wonpreprocessing has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
wonpreprocessing code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
wonpreprocessing 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
wonpreprocessing releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
It has 49617 lines of code, 787 functions and 187 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of wonpreprocessing
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of wonpreprocessing
wonpreprocessing Key Features
No Key Features are available at this moment for wonpreprocessing.
wonpreprocessing Examples and Code Snippets
No Code Snippets are available at this moment for wonpreprocessing.
Community Discussions
No Community Discussions are available at this moment for wonpreprocessing.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install wonpreprocessing
You can download it from GitHub.
You can use wonpreprocessing 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 wonpreprocessing 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 .
You can use wonpreprocessing 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 wonpreprocessing 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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