kandi X-RAY | DkRecommender Summary
kandi X-RAY | DkRecommender Summary
DkRecommender is a Java library. DkRecommender has no bugs, it has no vulnerabilities and it has low support. However DkRecommender build file is not available. You can download it from GitHub.
1.1. lib it contains .jar file used for read and write json. 1.2. src\deleteinvalidprocesses.java this file is used to ensure that all models are lowercased and only letters are remained, and non-english models and the ones without activity names are deleted from the dataset. it also rewrite the .json files from bpmai. 1.3. src\transforming to petri nets the files in this directory are used to transform bpmn processes to petri nets. the two files are for slient and visible strategy respectively. 1.4. src\extracting relations when k = 1 the files in this directory are used to extract relations for d1recommender. 1.5. src\dkrecommender.java this file reads the relation sets when k = 1, then it extracts the relation sets when k = 1 to gram+1 and doing recommendation. 2.1.
1.1. lib it contains .jar file used for read and write json. 1.2. src\deleteinvalidprocesses.java this file is used to ensure that all models are lowercased and only letters are remained, and non-english models and the ones without activity names are deleted from the dataset. it also rewrite the .json files from bpmai. 1.3. src\transforming to petri nets the files in this directory are used to transform bpmn processes to petri nets. the two files are for slient and visible strategy respectively. 1.4. src\extracting relations when k = 1 the files in this directory are used to extract relations for d1recommender. 1.5. src\dkrecommender.java this file reads the relation sets when k = 1, then it extracts the relation sets when k = 1 to gram+1 and doing recommendation. 2.1.
Support
Quality
Security
License
Reuse
Support
DkRecommender has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
DkRecommender has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of DkRecommender is current.
Quality
DkRecommender has no bugs reported.
Security
DkRecommender has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
DkRecommender does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
DkRecommender releases are not available. You will need to build from source code and install.
DkRecommender 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.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of DkRecommender
DkRecommender Key Features
No Key Features are available at this moment for DkRecommender.
DkRecommender Examples and Code Snippets
No Code Snippets are available at this moment for DkRecommender.
Community Discussions
No Community Discussions are available at this moment for DkRecommender.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install DkRecommender
You can download it from GitHub.
You can use DkRecommender 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 DkRecommender 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 DkRecommender 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 DkRecommender 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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