- g -

• gamma() : gpmp::stats::CDF , gpmp::stats::PDF , Quantile
• gammaLn() : Quantile
• gaussian() : gpmp::stats::CDF , gpmp::stats::PDF
• gelu() : gpmp::ml::Activation
• gelu_derivative() : gpmp::ml::Activation
• gen_compositions() : gpmp::Comb
• gen_dyck_words() : gpmp::Comb
• gen_dyck_words_until() : gpmp::Comb
• gen_lyndon_words() : gpmp::Comb
• gen_necklaces() : gpmp::Comb
• gen_partition_distinct() : gpmp::Comb
• generate_fibonacci_sequence() : gpmp::optim::Func
• generate_random_point() : gpmp::optim::Func
• generateLyndonWords() : gpmp::Comb
• generateNecklaces() : gpmp::Comb
• generatePartitions() : gpmp::Comb
• geometricMean() : gpmp::ml::Stats
• get() : gpmp::linalg::Tensor
• get_increment() : gpmp::core::rndm::LCG
• get_input() : gpmp::ml::LinearRegression , pygpmp.ml.ml.LinearRegression
• get_multiplier() : gpmp::core::rndm::LCG
• get_seed() : gpmp::core::rndm::LCG
• get_signal_out() : gpmp::ml::PrimaryMLP
• getCurrentTimestamp() : gpmp::core::Logger
• getLeftSingularVectors() : gpmp::linalg::SVD
• getLogPrefix() : gpmp::core::Logger
• getRightSingularVectors() : gpmp::linalg::SVD
• getSingularValues() : gpmp::linalg::SVD
• getX() : Camera
• getY() : Camera
• getZ() : Camera
• golden_section_search() : gpmp::optim::Func
• golden_section_search_minimize() : gpmp::optim::Func
• golden_section_search_minimize_multivariate() : gpmp::optim::Func
• golden_section_search_multivariate() : gpmp::optim::Func
• goldschmidt() : gpmp::EuclideanDivision
• gradient_descent() : gpmp::ml::VariationalAutoEncoder
• gradientdesc() : gpmp::ml::Trainers
• gram_schmidt() : gpmp::linalg::LinSys
• Graph() : gpmp::Graph
• gray_code() : gpmp::Comb
• greatest_power() : gpmp::Basics , pygpmp.arithmetic.arithmetic.Basics , pygpmp.nt.nt.Basics
• greedy_coloring() : gpmp::Graph
• grid_search() : gpmp::ml::SVC
• group_by() : gpmp::core::DataTable , pygpmp.core.core.DataTable
• growthMethod() : gpmp::NumericalAnalysis