Blazing-fast, Neuro-symbolic Data-Wrangling toolkit
- csv
- data-wrangling
- opendata
- data-engineering
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Blazing-fast, Neuro-symbolic Data-Wrangling toolkit
Pluggable foundation blocks for building distributed apps.
R interface for Apache Spark
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.
Lightweight SQL-based stream processing engine for IoT edge.