Projects in Awesome Lists by liquidSVM
A curated list of projects in awesome lists by liquidSVM .
https://github.com/liquidSVM/liquidSVM
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.
apache-spark c-plus-plus classification expectile-regression machine-learning matlab ml octave python quantile-regression r r-package regression rstats svm
Last synced: 15 Mar 2025
https://github.com/liquidsvm/liquidsvm
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.
apache-spark c-plus-plus classification expectile-regression machine-learning matlab ml octave python quantile-regression r r-package regression rstats svm
Last synced: 23 Feb 2025