- m -

• mann_whitney_test() : gpmp::stats::HypothesisTest
• match_cardinality() : gpmp::Graph
• match_wt() : gpmp::Graph
• Matrix() : gpmp::linalg::Matrix< Type >
• max_norm_regularization() : gpmp::ml::Regularize
• MDLAutoEncoder() : gpmp::ml::MDLAutoEncoder
• mean() : gpmp::linalg::Matrix< Type > , gpmp::ml::Stats
• mean_and_var() : gpmp::ml::BayesGauss
• mean_arith() : gpmp::stats::Describe
• mean_cubic() : gpmp::stats::Describe
• mean_geo() : gpmp::stats::Describe
• mean_geo_pow() : gpmp::stats::Describe
• mean_harmonic() : gpmp::stats::Describe
• mean_heinz() : gpmp::stats::Describe
• mean_heronian() : gpmp::stats::Describe
• mean_lehmer() : gpmp::stats::Describe
• median() : gpmp::ml::Stats
• Median() : gpmp::stats::Describe
• median_uniased() : gpmp::stats::ProbDist
• midrange() : gpmp::ml::Stats
• miller_rabin() : gpmp::PrimalityTest , pygpmp.nt.nt.PrimalityTest
• miller_rabin_prime() : gpmp::PrimalityTest , pygpmp.nt.nt.PrimalityTest
• minibatch_gradientdesc() : gpmp::ml::Trainers
• mle() : gpmp::stats::ProbDist
• mle_est() : gpmp::stats::ProbDist
• mod_mul() : gpmp::PrimalityTest , pygpmp.nt.nt.PrimalityTest
• mod_pow() : gpmp::PrimalityTest , pygpmp.nt.nt.PrimalityTest
• mode() : gpmp::ml::Stats
• mom() : gpmp::stats::ProbDist
• moveDown() : Camera
• moveLeft() : Camera
• moveRight() : Camera
• moveUp() : Camera
• mse() : gpmp::ml::LinearRegression , pygpmp.ml.ml.LinearRegression
• mtx_add_() : gpmp::accl::CUDAmtx
• mtx_mul() : gpmp::accl::CLmtx
• mult() : gpmp::linalg::Matrix< Type >
• multiply() : gpmp::linalg::Tensor
• mumv() : gpmp::stats::ProbDist