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11,977–12,000 of 15,141 · Most stars

Spring data gremlin makes it easier to implement Graph based repositories. This module extends Spring Data to allow support for potentially any Graph database that implements the Tinkerpop Blueprints 2.x API.

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.