Index A | B | C | D | E | F | G | H | I | K | M | N | P | R | S | T | V | W A abs_threshold (svm.SVM property) add_acquisition() (progress.Progress method) add_convergence() (progress.Progress method) add_current_n_truth() (progress.Progress method) add_fit() (progress.Progress method) add_iteration() (progress.Progress method) add_truth() (progress.Progress method) allgather() (in module mpi) anisotropic (kernels.ExpSineSquared property) (kernels.RationalQuadratic property) B bcast() (in module mpi) bcast_last_max() (progress.Progress method) bcast_root() (progress.Progress method) bcast_sum() (progress.Progress method) bounds (kernels.Kernel property) C check_and_return_bounds() (in module tools) check_candidates() (in module tools) check_checkpoint() (in module gpry.io) check_random_state() (in module tools) compute_y_parallel() (in module mpi) ConstantKernel (class in kernels) create_path() (in module gpry.io) credibility_of_nstd() (in module tools) D d (svm.SVM property) delta_logp_of_1d_nstd() (in module tools) DotProduct (class in kernels) E Exponentiation (class in kernels) ExpSineSquared (class in kernels) F fit() (svm.SVM method) G gather() (in module mpi) gaussian_distance() (in module tools) generic_params_names() (in module tools) get_random_generator() (in module mpi) get_Xnumber() (in module tools) gpry.io module gradient_x() (kernels.ConstantKernel method) (kernels.DotProduct method) (kernels.Exponentiation method) (kernels.ExpSineSquared method) (kernels.Kernel method) (kernels.Matern method) (kernels.Product method) (kernels.RationalQuadratic method) (kernels.RBF method) (kernels.Sum method) (kernels.WhiteKernel method) H help_column_names() (progress.Progress method) Hyperparameter (class in kernels) hyperparameter_alpha (kernels.RationalQuadratic property) hyperparameter_constant_value (kernels.ConstantKernel property) hyperparameter_length_scale (kernels.ExpSineSquared property) (kernels.Matern property) (kernels.RationalQuadratic property) (kernels.RBF property) hyperparameter_noise_level (kernels.WhiteKernel property) hyperparameter_periodicity (kernels.ExpSineSquared property) hyperparameter_sigma_0 (kernels.DotProduct property) hyperparameters (kernels.Exponentiation property) (kernels.Kernel property) (kernels.KernelOperator property) (kernels.Product property) (kernels.Sum property) I is_finite() (svm.SVM method) is_in_bounds() (in module tools) is_valid_covmat() (in module tools) K Kernel (class in kernels) KernelOperator (class in kernels) kernels module kl_mc() (in module tools) kl_norm() (in module tools) M Matern (class in kernels) mean_covmat_from_evals() (in module tools) mean_covmat_from_samples() (in module tools) merge_step_split() (in module mpi) module gpry.io kernels mpi progress svm tools mpi module mpi_sync() (progress.Progress method) multi_gather_array() (in module mpi) N n (svm.SVM property) nstd_of_1d_nstd() (in module tools) NumpyErrorHandling (class in tools) P plot_timing() (progress.Progress method) predict() (svm.SVM method) Product (class in kernels) progress module Progress (class in progress) R RationalQuadratic (class in kernels) RBF (class in kernels) read_checkpoint() (in module gpry.io) remove_0_weight_samples() (in module tools) S save_checkpoint() (in module gpry.io) set_fit_request() (svm.SVM method) set_predict_request() (svm.SVM method) set_score_request() (svm.SVM method) share_attr() (in module mpi) shrink_bounds() (in module tools) split_number_for_parallel_processes() (in module mpi) step_split() (in module mpi) Sum (class in kernels) svm module SVM (class in svm) sync_processes() (in module mpi) T Timer (class in progress) TimerCounter (class in progress) tools module V volume_sphere() (in module tools) W WhiteKernel (class in kernels) wrap_likelihood() (in module tools)
