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I need a decision tree learning library for Java. I've looked at both jaDTi, and Weka, but neither is up to contemporary standards of library design.

For example, both still use non-generic Vector objects everywhere, and neither makes it easy to supply training data programmatically, they both expect data to be loaded from a file or a database.

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I would suggest you take a look at JBoost.

There are over seventy Java-based open-source machine learning applications posted on the MLOSS.org website.

In this section, you will get a review of the major machine learning libraries and platforms in Java, the kind of problems they can solve, the algorithms they support, and the variety of data they can work with.

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