Index _ | B | E | F | G | L | M | P | R | S | U | X | Y _ _gd_backtracking_lg_loc_tilde_regression() (in module regmmd.optimizers) _gd_backtracking_lg_tilde_regression() (in module regmmd.optimizers) _gd_backtracking_logistic_tilde_regression() (in module regmmd.optimizers) _gd_exact_logistic_hat_regression() (in module regmmd.optimizers) _gd_gaussian_loc_exact_estimation() (in module regmmd.optimizers) _get_grad_estimate() (in module regmmd.optimizers) _median_heuristic() (in module regmmd.optimizers) _sgd_estimation() (in module regmmd.optimizers) _sgd_hat_regression() (in module regmmd.optimizers) _sgd_tilde_regression() (in module regmmd.optimizers) B Beta (class in regmmd.models.estimation) BetaA (class in regmmd.models.estimation) BetaB (class in regmmd.models.estimation) Binomial (class in regmmd.models.estimation) E EstimationModel (class in regmmd.models.base_model) F fit() (regmmd.estimation.MMDEstimator method) (regmmd.regression.MMDRegressor method) G Gamma (class in regmmd.models.estimation) GammaRate (class in regmmd.models.estimation) GammaRegression (class in regmmd.models.regression) GammaRegressionLoc (class in regmmd.models.regression) GammaShape (class in regmmd.models.estimation) Gaussian (class in regmmd.models.estimation) GaussianLoc (class in regmmd.models.estimation) GaussianScale (class in regmmd.models.estimation) L LinearGaussian (class in regmmd.models.regression) LinearGaussianLoc (class in regmmd.models.regression) log_prob() (regmmd.models.base_model.EstimationModel method) Logistic (class in regmmd.models.regression) M MMDEstimator (class in regmmd.estimation) MMDRegressor (class in regmmd.regression) module regmmd.estimation regmmd.models.base_model regmmd.models.estimation regmmd.models.regression regmmd.optimizers regmmd.regression P par_c (regmmd.estimation.MMDEstimator attribute) par_v (regmmd.estimation.MMDEstimator attribute) (regmmd.regression.MMDRegressor attribute) Poisson (class in regmmd.models.estimation) PoissonRegression (class in regmmd.models.regression) predict() (regmmd.models.base_model.RegressionModel method) (regmmd.regression.MMDRegressor method) R regmmd.estimation module regmmd.models.base_model module regmmd.models.estimation module regmmd.models.regression module regmmd.optimizers module regmmd.regression module RegressionModel (class in regmmd.models.base_model) S sample_n() (regmmd.models.base_model.EstimationModel method) (regmmd.models.base_model.RegressionModel method) score() (regmmd.models.base_model.EstimationModel method) (regmmd.models.estimation.Beta method) (regmmd.models.estimation.BetaA method) (regmmd.models.estimation.BetaB method) (regmmd.models.estimation.Binomial method) (regmmd.models.estimation.Gamma method) (regmmd.models.estimation.GammaRate method) (regmmd.models.estimation.GammaShape method) (regmmd.models.estimation.Gaussian method) (regmmd.models.estimation.GaussianLoc method) (regmmd.models.estimation.GaussianScale method) (regmmd.models.regression.GammaRegression method) (regmmd.models.regression.GammaRegressionLoc method) (regmmd.models.regression.LinearGaussian method) (regmmd.models.regression.LinearGaussianLoc method) (regmmd.models.regression.Logistic method) sort_obs() (in module regmmd.optimizers) U update() (regmmd.models.base_model.EstimationModel method) (regmmd.models.estimation.Beta method) (regmmd.models.estimation.BetaA method) (regmmd.models.estimation.BetaB method) (regmmd.models.estimation.Binomial method) (regmmd.models.estimation.Gamma method) (regmmd.models.estimation.GammaRate method) (regmmd.models.estimation.GammaShape method) (regmmd.models.estimation.Gaussian method) (regmmd.models.estimation.GaussianLoc method) (regmmd.models.estimation.GaussianScale method) (regmmd.models.regression.GammaRegression method) (regmmd.models.regression.GammaRegressionLoc method) (regmmd.models.regression.LinearGaussian method) (regmmd.models.regression.LinearGaussianLoc method) (regmmd.models.regression.Logistic method) X X_offset (regmmd.regression.MMDRegressor attribute) X_scale (regmmd.regression.MMDRegressor attribute) Y y_offset (regmmd.regression.MMDRegressor attribute)