java-decision-tree | A decision tree class in Java
kandi X-RAY | java-decision-tree Summary
kandi X-RAY | java-decision-tree Summary
java-decision-tree is a Java library. java-decision-tree has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However java-decision-tree build file is not available. You can download it from GitHub.
Copyright(c) 2011 John Weaver. All Rights Reserved. Source code licensed under the BSD license. Please see the LICENSE file for details.
Copyright(c) 2011 John Weaver. All Rights Reserved. Source code licensed under the BSD license. Please see the LICENSE file for details.
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java-decision-tree has a low active ecosystem.
It has 42 star(s) with 30 fork(s). There are 4 watchers for this library.
It had no major release in the last 6 months.
java-decision-tree has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of java-decision-tree is current.
Quality
java-decision-tree has 0 bugs and 36 code smells.
Security
java-decision-tree has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
java-decision-tree code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
java-decision-tree is licensed under the BSD-3-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
java-decision-tree releases are not available. You will need to build from source code and install.
java-decision-tree has no build file. You will be need to create the build yourself to build the component from source.
java-decision-tree saves you 208 person hours of effort in developing the same functionality from scratch.
It has 510 lines of code, 65 functions and 10 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed java-decision-tree and discovered the below as its top functions. This is intended to give you an instant insight into java-decision-tree implemented functionality, and help decide if they suit your requirements.
- Returns the next attribute
- Returns information about the specified attribute
- Returns the number of examples that match the given attributes
- Returns the number of instances of a given classifier
- Returns the string value
- Compiles an attribute walk
- Compiles the attributes
- Returns a string representation of this decision
- Compiles the root attribute
- Returns the attribute that matches the given decision value
- Applies the decision to the map
- Adds an example to the decision tree
- Add an example
- Assigns the specified attributes to the decision tree
- Sets the attribute names
- Returns the map of attributes to attributes
- Removes all decisions
Get all kandi verified functions for this library.
java-decision-tree Key Features
No Key Features are available at this moment for java-decision-tree.
java-decision-tree Examples and Code Snippets
No Code Snippets are available at this moment for java-decision-tree.
Community Discussions
No Community Discussions are available at this moment for java-decision-tree.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install java-decision-tree
You can download it from GitHub.
You can use java-decision-tree 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 java-decision-tree 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 java-decision-tree 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 java-decision-tree 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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