Package for running naive bayes forecasting for gaussian distributed datasets.
Aiming to work against an example of classifying cryptocurrencies using kaggle dataset
- Requires Java 17 LTS.
- As defined in
build.gradle, to change this in IDE on Mac-IntelliJ, go tofile>project structure>project>jdk
Then..
gradle run
Uses assertJ.
gradle test
- Stretch tasks
- Remove lambda expressions
- Performance monitoring
- Graphics generation for distribution and time series generation
- Gaussian distribution
- Generating classes for classifier
- Stat methods
- Naive bayes implementation
Notes:
- To use a modular setup right click the java dir, open module settings then control them there, otherwise modules are added outside the scope of the core reverse dns style package.