datumbox-framework-examples
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datumbox
Code examples on how to use the Datumbox Machine Learning Framework.
Code Examples for Datumbox Machine Learning Framework
This project provides examples on how to use the Datumbox Machine Learning Framework v0.8.3-SNAPSHOT (Build 20201014).
Copyright & License
Copyright (c) 2013-2020 Vasilis Vryniotis.
The code is licensed under the Apache License, Version 2.0.
How to use
The code uses Maven Project Structure and contains the following code examples:
- Classification.java: Contains an example on how to perform Classification.
- Clustering.java: It is an example that runs Cluster Analysis.
- Regression.java: Shows how to run Regression Analysis.
- DataModeling.java: Explains how to use the convenience Modeler class.
- TextClassification.java: Uses the convenience TextClassifier class.
All of the above files contain a main() method. To use it just clone the project on your workspace and run any of the above files.
The project contains also 5 configuration files in the resources folder:
- datumbox.configuration.properties: It defines for the default storage engine (required).
- datumbox.concurrencyconfiguration.properties: It controls the concurrency levels (required).
- datumbox.inmemoryconfiguration.properties: It contains the configurations for the InMemory storage engine (required).
- datumbox.mapdbconfiguration.properties: It contains the configurations for the MapDB storage engine (optional).
- logback.xml: It contains the configuration file for the logger (optional).
Finally in the resources folder there are several real world datasets which are used for testing.
datumbox