Welcome to the wiki! Feel free to help contribute any new examples or useful information. Be sure to check the FAQ if you have any questions.

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. If you are feeling particularly lazy, or you are very new to Java/maven projects, you can get detailed instructions here.

• How to load a data set
• Training and using a classifier
• Model testing with Cross Validation
  • Automatic Parameter Tuning
• Applying Data Transformations and Visualizing
• Generating a data set with Guassians
• Clustering with K-Means, how might we find K?

Some more complicated examples working with text datasets.

• How to load a text data set for spam classification
• A basic example of topic modeling