Artifacts using Weka Stable (80)

Sort by:Popular▼

✓Popular✓Newest

Kotlin Extensions for Weka.

Klassy

Rule Learner is an open source Java library for learning business rules from historical data. It supports supervised Machine Learning by incorporating well-known algorithms such as RIPPER and C4.5 provided by open source tools such as Weka. Rule Learner is implemented as a Machine Learning component of OpenRules Decision Manager. It allows business analysts to place their historical data in simple Excel tables and to automatically discover business rules that find certain pattern in this ...

Add-on that enables Sclera to perform machine learning using the WEKA library from within SQL

AutoML Weka

Interface for machine learning modeling, testing and training.

TreeLiker is a collection of fast algorithms for working with scomplex structured data in relational form.

Feature selection algorithm for mixed data on large data sets

The Ambiverse Natural Language Understanding suite (AmbiverseNLU) combines a number of state-of-the-art components for language understanding tasks: named entity recognition and disambiguation (or entity linking), open information extraction, entity salience estimation, and concept linking.