perfect-prediction-engine | First implementation of the Perfect Prediction Engine
kandi X-RAY | perfect-prediction-engine Summary
kandi X-RAY | perfect-prediction-engine Summary
perfect-prediction-engine is a Java library. perfect-prediction-engine 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.
First implementation of the Perfect Prediction Engine. Prerequisite: Maven and Java 11 (will not work with 8). Copyright Ramon Gomm, Ghislain Fourny, Gustavo Alonso, 2019-2020. All rights reserved.
First implementation of the Perfect Prediction Engine. Prerequisite: Maven and Java 11 (will not work with 8). Copyright Ramon Gomm, Ghislain Fourny, Gustavo Alonso, 2019-2020. All rights reserved.
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Quality
Security
License
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perfect-prediction-engine has a low active ecosystem.
It has 1 star(s) with 0 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of perfect-prediction-engine is current.
Quality
perfect-prediction-engine has 0 bugs and 0 code smells.
Security
perfect-prediction-engine has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
perfect-prediction-engine code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
perfect-prediction-engine 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
perfect-prediction-engine 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.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed perfect-prediction-engine and discovered the below as its top functions. This is intended to give you an instant insight into perfect-prediction-engine implemented functionality, and help decide if they suit your requirements.
- Opens a dialog window
- Remove a subtree from the graph
- Setup the information panel
- Load a file from a file
- Start the connecting edge
- Updates the head
- Cut off an arrow point
- Determine the maximum maximin values for a list of choices
- Get the best outcome
- Get the actions for the specified player number
- Toggle the selected node
- Initialize the panel
- Removes all outcomes from the set of outcomes
- Removes a tree pane from the tree
- Prints the tree
- Rotates the box tree
- Check if the constraints are valid
- Set the color of the player text
- Create a game with the specified information
- Removes all outcomes from max values
- Gets the number of outcomes that have been reached
- Returns the outcomes of all outcomes in the sequence
- Sets the outcome text text
- Deletes all selected nodes
- Set the events on the mouse
- Rotate the pane
Get all kandi verified functions for this library.
perfect-prediction-engine Key Features
No Key Features are available at this moment for perfect-prediction-engine.
perfect-prediction-engine Examples and Code Snippets
No Code Snippets are available at this moment for perfect-prediction-engine.
Community Discussions
No Community Discussions are available at this moment for perfect-prediction-engine.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install perfect-prediction-engine
You can download it from GitHub.
You can use perfect-prediction-engine 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 perfect-prediction-engine 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 perfect-prediction-engine 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 perfect-prediction-engine 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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