5<p>This library defines basic abstractions (like nomnial value, domain, point, space, state, etc.) and implements: classifier algorithms (Naive Bayesian, Decision Tree ID3 inspired, K Nearest Neighbors); cross validator; space search methods ( Evolutionary Algorithm, Expectaiton-Maximization, Hill Climbing); timeseries primitives (TimeSeriesDigit, TimeSeriesReal, linear resampling, autoregressive predictor); DNA primitives (Nucleotide, Chain, EnergyNucleo, SecStruct, FoldedChain, FoldedPair, Codon, CodonAminoTable, Nussinov algorithm); Random generators; Gaussian eliminator. Serialization to text or XML based on boost::serialization.
