semvec/pypi-packages huggingface dataset:
realML 3.0.3
ICSI provided machine learning primitives for DARPA D3M project, focusing on fast kernel methods and matrix factorizations
License: Apache License 2.0
Keywords: d3m_primitive,machine learning,regression,dimensionality reduction,low rank factorization,featurization,sufficient dimensionality reduction,kernel methods

# realML primitives
- realML.matrix: fast least absolute deviations regression, fast robust (entrywise-l1 norm) low-rank matrix decomposition, sufficient dimensionality reduction (non-linear low-rank factorization)
- realML.kernel: preconditioned Gaussian and Polynomial regression, tensor machines for adaptive polynomial features