Component that uses Bayesian Networks to estimate the assessment for strategic indicators
This component has been created as a result of the Q-Rapids project funded by the European Union Horizon 2020 Research and Innovation programme under grant agreement No 732253.
This library uses Bayesian Networks for computing Strategic Indicators.
Property | Description |
---|---|
Type of component | Library |
Build | .jar |
Programming language | Java |
Frameworks | Gradle |
External libraries | UnBBayes |
This is a Gradle project. You can use any IDE that supports Gradle to build it, or alternatively you can use the command line using the Gradle wrapper with the command gradlew if you don't have Gradle installed on your machine or with the command gradle if you do, followed by the name of the task. If you want to build this library without dependencies, use the task jar, and if you want the dependencies being included in the package, use the task customFatJar.
# Example: using Gradle wrapper to build with dependencies
cd qrapids-si_assessment
gradlew customFatJar
After the build is done the JAR file can be found at the build/libs directory
You can find the technical documentation of the API here.
You can find guidelines to contribute to the project in the Q-Rapids repository.
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.
For problems regarding this component, please open an issue in the issues section. You can find some guidelines for submitting issues in the Q-Rapids repository.
For general information, please use the Q-Rapids project website.