About:
A scalable, fast C++ machine learning library, with emphasis on usability.
Changes:
Speedups of cover tree traversers; addition of rank-approximate nearest neighbor (RANN); addition of fast exact max-kernel search (FastMKS); fix for EM covariance estimation; more parameters for GMM estimation; force GMM and GaussianDistribution covariance matrices to be positive definite during training; add a tolerance parameter to the Baum-Welch algorithm for HMM training; fix for compilation with clang; fix for k-furthest neighbor search.
- Authors:
Ryan Curtin,
James Cline,
Neil Slagle,
Matthew Amidon,
Ajinkya Kale,
Bill March,
Nishant Mehta,
Parikshit Ram,
Dongryeol Lee,
Rajendran Mohan,
Trironk Kiatkungwanglai,
Patrick Mason,
Alexander Gray
- License:
Lgpl 3
- Programming Language:
C++
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- Operating System:
Platform Independent
- Data Formats:
Plain Ascii,
Ascii,
Txt,
Hdf,
Bin,
Csv,
Xml
- Tags:
Gmm,
Hmm,
Machine Learning,
Sparse,
Dual Tree,
Fast,
Scalable,
Tree
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