dclambert /
Python-ELM
Extreme Learning Machine implementation in Python
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acba / repository
Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.
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Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.
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dclambert /
Extreme Learning Machine implementation in Python
Extremely simple one-shot learning in Python
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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.
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