Download JAR files tagged by growing with all dependencies

Versatile library for backend and CLI developers, offers a growing collection of tools to simplify development tasks.

Kuali is a growing community of universities, colleges, and commercial firms partnering to build and sustain open-source software for higher education, by higher education.

A continuously growing collection of utilities to measure performance, get better diagnostics, improve performance, or do things more reliably, faster that other open source libraries...

A library for incremental automata construction. This artifact contains algorithms for incrementally constructing DFAs (prefix-closed and non-prefix-closed), Mealy machines, and Moore machines from a finite, incrementally growing set of example inputs/outputs.

OlapDB is an OLAP data warehouse tool based on Cube pre-computation technology and HBase implementation, which can provide efficient real-time analysis and fast query for ultra-large-scale and ultra-fast-growing data.

The OpenWS library provides a growing set of tools to work with web services at a low level. These tools include classes for creating and reading SOAP messages, transport-independent clients for connecting to web services, and various transports for use with those clients.

The OpenWS library provides a growing set of tools to work with web services at a low level. These tools include classes for creating and reading SOAP messages, transport-independent clients for connecting to web services, and various transports for use with those clients.

Provides probability calibration trees (PCTs) for local calibration of class probability estimates. To achieve calibration of a base learner, the PCT class must be used as the meta learner in the CascadeGeneralization class, which is also included in this package. The classifier to be calibrated must be used as the base learner in the CascadeGeneralization class. The CascadeGeneralization class can also be used independently to perform CascadeGeneralization for ensemble learning. The code for PCTs is largely the same as the LMT code for growing logistic model trees. For more details, see the ACML paper on probability calibration trees.