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This is all under fairly heavy construction right now as I migrate from Google code. I'm taking this opurtunity to finish up some code I plan on using and then doing some project refactoring. Once the refactoring is done, I'm going to work on making JSAT a bit more "professional". Keep in mind this is still a free time project for me. I hope JSAT will be useful for more people, especially as I add more algorithms that either aren't easily obtained in Java, or don't even have publically available implementations.
Currently, JSAT has one of the largest collections of algorithms in any library (that I'm aware of). See more info about the algorithms available here.
First are a set of simple examples to get started with JSAT
- How to load a data set
- Training and using a classifier
- Model testing with Cross Validation
- Applying Data Transformations and Visualizing
- Generating a data set with Guassians
Here is a more complicated example for loading a text data set as feature vectors and uses Spam classification to do the example.