Most Popular. New Releases. Desktop Enhancements. Networking Software. Trending from CNET. Weka 64 bit By Weka Team Free. Download Now. Developer's Description By Weka Team. Weka is a collection of machine learning algorithms for solving real-world data mining problems.
It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code.
Full Specifications. WekaDeeplearning4j is a deep learning package for Weka. Deep neural networks, including convolutional networks and recurrent networks, can be trained directly from Weka's graphical user interfaces, providing state-of-the-art methods for tasks such as image and text classification.
Weka models can be used, built, and evaluated in R by using the RWeka package for R; conversely, R algorithms and visualization tools can be invoked from Weka using the RPlugin package for Weka. Weka's functionality can be accessed from Python using the Python Weka Wrapper. Conversely, Python toolkits such as scikit-learn can be used from Weka.
For running Weka-based algorithms on truly large datasets, the distributed Weka for Spark package is available. SPSS 28 3. SPSS Obs Studio Tensorflow varies-with-device 4. Scikit Learn varies-with-device 2. Your review for Weka. All old versions of Weka are available from the Sourceforge website. In case you are upgrading an existing Weka 3. Also, serialized Weka models created in 3.
The model migrator tool can migrate some models to 3. Usage is as follows:. Weka Wiki. Docs » Downloading and installing Weka. Snapshots Every night, a snapshot of the Subversion repository with the Weka source code is taken, compiled, and put together in ZIP files.
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