- l -

• l1_regularization() : gpmp::ml::Regularize
• l2_regularization() : gpmp::ml::Regularize
• laplace() : gpmp::stats::CDF , gpmp::stats::PDF
• laplacian() : gpmp::NumericalAnalysis
• lbfgs_optimize() : gpmp::optim::QuasiNewton
• LCG() : gpmp::core::rndm::LCG
• leaky_relu() : gpmp::ml::Activation
• leaky_relu_derivative() : gpmp::ml::Activation
• lehmerMean() : gpmp::ml::Stats
• lehmers() : gpmp::GCDS
• LikelihoodInterval() : gpmp::stats::ProbDist
• limit_at() : gpmp::Differential , pygpmp.calculus.calculus.Differential
• limit_at_infinity() : gpmp::Differential , pygpmp.calculus.calculus.Differential
• line_search() : gpmp::optim::QuasiNewton
• linear_interpolation() : gpmp::optim::Func
• linearApproximation() : gpmp::NumericalAnalysis
• LinearRegression() : gpmp::ml::LinearRegression
• LinSys() : gpmp::linalg::LinSys
• lmoment1() : gpmp::stats::Describe
• lmoment2() : gpmp::stats::Describe
• load() : gpmp::ml::AutoEncoder
• log() : gpmp::core::Logger , gpmp::ml::SecondaryMLP< T > , pygpmp.core.core.Logger
• log_likelihood() : BNN
• log_normal() : gpmp::stats::CDF , gpmp::stats::PDF
• Logger() : gpmp::core::Logger
• logistic() : gpmp::stats::CDF , gpmp::stats::PDF
• logMean() : gpmp::ml::Stats
• LogReg() : gpmp::ml::LogReg
• lrate_set() : gpmp::ml::AutoEncoder
• lrate_update() : gpmp::ml::AutoEncoder
• lu_decomp() : gpmp::linalg::LinSys
• lyndonWords() : gpmp::Comb