R-universe search: eigen3

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serkor1

SLmetrics:Machine Learning Performance Evaluation on Steroids

Performance evaluation metrics for supervised and unsupervised machine learning, statistical learning and artificial intelligence applications. Core computations are implemented in 'C++' for scalability and efficiency.

Maintained by Serkan Korkmaz. Last updated 3 days ago.

cpp data-analysis data-science eigen3 machine-learning performance-metrics rcpp rcppeigen statistics supervised-learning cpp openmp

11.0 match 22 stars 6.56 score

zichongli5

PRIMAL:Parametric Simplex Method for Sparse Learning

Implements a unified framework of parametric simplex method for a variety of sparse learning problems (e.g., Dantzig selector (for linear regression), sparse quantile regression, sparse support vector machines, and compressive sensing) combined with efficient hyper-parameter selection strategies. The core algorithm is implemented in C++ with Eigen3 support for portable high performance linear algebra. For more details about parametric simplex method, see Haotian Pang (2017) <https://papers.nips.cc/paper/6623-parametric-simplex-method-for-sparse-learning.pdf>.

Maintained by Zichong Li. Last updated 5 years ago.

cpp

0.5 match 3.00 score 3 scripts