Index

A

A() (infpy.exp.ExponentialFamily method) A_vec() (infpy.exp.DirichletExpFamily method) (infpy.exp.DiscreteExpFamily method) (infpy.exp.GammaExpFamily method) (infpy.exp.GaussianExpFamily method) (infpy.exp.MvnExpFamily method) (infpy.exp.NormalGammaExpFamily method) (infpy.exp.NormalWishartExpFamily method) (infpy.exp.PoissonExpFamily method) (infpy.exp.WishartExpFamily method) accuracy() (infpy.roc.RocCalculator method) all_rocs_from_thresholds() (in module infpy.roc) alpha (infpy.dp.VariationalDistribution attribute) (infpy.variational.dirichlet_process.ExpFamilyDP attribute) alpha() (infpy.gp.rational_quadratic_kernel.RationalQuadraticKernelAlphaParameterised method) always_predict_false() (infpy.roc.RocCalculator static method) always_predict_true() (infpy.roc.RocCalculator static method) area_under_curve() (in module infpy.roc) array_is_close() (in module infpy.utils)

Attribute (class in infpy.decision.attributes) AttributeExtractor (class in infpy.gp.feature_kernel) AttributeExtractor.Derivative (class in infpy.gp.feature_kernel) attributes (infpy.decision.rule_generation.Context attribute) auc() (in module infpy.roc) auc50() (in module infpy.roc) auc50_from_rocpoints() (in module infpy.roc) auc50_wrong() (in module infpy.roc) average_performance() (infpy.roc.RocCalculator method)

B

bisect_rocs() (in module infpy.roc) bootstrap_p_value() (in module infpy.bootstrap)

breeding_proportion (infpy.genepy.population.Population attribute) build_random_path() (in module infpy.decision.decision)

C

calc_covariance() (infpy.gp.gaussian_process.GaussianProcess method) calc_covariance_derivative() (infpy.gp.gaussian_process.GaussianProcess method) calc_grad_approx_differences() (in module infpy.utils) calculate_bootstrap_statistics() (in module infpy.bootstrap) carry_over_parents (infpy.genepy.population.Population attribute) check_against_truth() (infpy.exp.test.exp_family_test.CheckExpFamily method) check_all() (infpy.exp.test.exp_family_test.CheckConjugatePrior method) (infpy.exp.test.exp_family_test.CheckExpFamily method) check_attributes() (infpy.exp.test.exp_family_test.CheckExpFamily method) check_close() (in module infpy.exp.test.exp_family_test) check_conjugacy() (infpy.exp.test.exp_family_test.CheckConjugatePrior method) check_dimensions() (infpy.exp.test.exp_family_test.CheckExpFamily method) check_entropy_truth() (infpy.exp.test.exp_family_test.CheckExpFamily method) check_exp_T() (infpy.exp.test.exp_family_test.CheckExpFamily method) check_gradient() (in module infpy.exp.test.exp_family_test) check_gradients() (in module infpy.utils) check_is_close() (in module infpy.exp.test.exp_family_test) (in module infpy.utils) check_is_close_2() (in module infpy.utils) check_KL() (infpy.exp.test.exp_family_test.CheckExpFamily method) check_LL_increased() (in module infpy.convergence_test) check_log_normalisation_factor_expectation() (infpy.exp.test.exp_family_test.CheckConjugatePrior method) check_matrix_is_close() (in module infpy.utils) check_thetas() (infpy.exp.test.exp_family_test.CheckExpFamily method) check_vectorisation() (infpy.exp.test.exp_family_test.CheckExpFamily method) check_xs() (infpy.exp.test.exp_family_test.CheckExpFamily method) CheckConjugatePrior (class in infpy.exp.test.exp_family_test) checked_sample() (in module infpy.test.distribution_test)

CheckExpFamily (class in infpy.exp.test.exp_family_test) choose_random_decision_node() (in module infpy.decision.decision) CloseToTest (class in infpy.test.utils_test) combine_generations() (infpy.genepy.population.Population method) combine_trees() (in module infpy.decision.decision) ComparisonRule (class in infpy.decision.rule_generation) component_proportions() (infpy.dp.VariationalDistribution method) conj_prior (infpy.dp.VariationalDistribution attribute) (infpy.exp.test.exp_family_test.CheckConjugatePrior attribute) ConjugatePrior (class in infpy.exp) ConstantKernel (class in infpy.gp.kernel) ConstantKernel.Derivative (class in infpy.gp.kernel) ConstantSquaredKernel (class in infpy.gp.kernel) ConstantSquaredKernel.Derivative (class in infpy.gp.kernel) cont() (in module infpy.decision.test.genepy_test) Context (class in infpy.decision.rule_generation) context (infpy.decision.test.genepy_test.GenepyTest attribute) ContinuousAttribute (class in infpy.decision.attributes) contrastive_divergence_iteration() (in module infpy.dbn.harmonium) correlation_coefficient() (infpy.roc.RocCalculator method) count (infpy.decision.decision.NodeCounter attribute) count_nodes() (in module infpy.decision.decision) count_threshold_classifications() (in module infpy.roc) cov_T() (infpy.exp.DirichletExpFamily method) create_random_decision_tree() (in module infpy.decision.decision) create_rocs_from_thresholds() (in module infpy.roc)

D

d (infpy.dp.VariationalDistribution attribute) d() (infpy.gp.periodic_kernel.FixedPeriod1DKernel method) data (infpy.decision.test.genepy_test.GenepyTest attribute) (infpy.variational.dirichlet_process.ExpFamilyDP attribute) data_generator() (in module infpy.gp.test.kernel_test) debug_if_infinite() (in module infpy.dp) DecisionNode (class in infpy.decision.decision) DecisionTest (class in infpy.decision.test.decision_test) DecisionTreeSpecies (class in infpy.decision.genepy_interface) derivative_wrt_param() (infpy.gp.kernel.Kernel method) (infpy.gp.sum_kernel.ProductKernel method) (infpy.gp.sum_kernel.SumKernel method) dimension (infpy.exp.ExponentialFamily attribute)

DirichletExpFamily (class in infpy.exp) DiscreteExpFamily (class in infpy.exp) distance() (in module infpy.gp.real_kernel) (infpy.roc.RocCalculator method) distance_2() (in module infpy.gp.real_kernel) distance_2_derivative() (in module infpy.gp.real_kernel) distance_derivative() (in module infpy.gp.real_kernel) Distribution (class in infpy.distribution) DistributionTest (class in infpy.test.distribution_test) dlog_pdf_dx() (infpy.distribution.GammaDistribution method) (infpy.distribution.LogNormalDistribution method) (infpy.distribution.NormalDistribution method) dpmeans() (in module infpy.madbayes.dpmeans)

E

entropy() (infpy.exp.ExponentialFamily method) enum() (in module infpy.decision.test.genepy_test) EnumerativeAttribute (class in infpy.decision.attributes) eps (infpy.convergence_test.LlConvergenceTest attribute) EqualityKernel (class in infpy.gp.kernel) eta (infpy.exp.Variable attribute) eta() (infpy.exp.DirichletExpFamily method) (infpy.exp.DiscreteExpFamily method) (infpy.exp.GammaExpFamily method) (infpy.exp.GaussianExpFamily method) (infpy.exp.MvnExpFamily method) (infpy.exp.NormalGammaExpFamily method) (infpy.exp.NormalWishartExpFamily method) (infpy.exp.PoissonExpFamily method) (infpy.exp.WishartExpFamily method)

exp_h() (infpy.exp.ExponentialFamily method) (infpy.exp.GaussianExpFamily method) (infpy.exp.PoissonExpFamily method) exp_likelihood_log_normalisation_factor() (infpy.exp.GaussianConjugatePrior method) (infpy.exp.MultinomialConjugatePrior method) (infpy.exp.MvnConjugatePrior method) exp_log_det_W() (infpy.exp.WishartExpFamily method) exp_T() (infpy.exp.DirichletExpFamily method) (infpy.exp.DiscreteExpFamily method) (infpy.exp.GammaExpFamily method) (infpy.exp.GaussianExpFamily method) (infpy.exp.MvnExpFamily method) (infpy.exp.NormalGammaExpFamily method) (infpy.exp.NormalWishartExpFamily method) (infpy.exp.PoissonExpFamily method) (infpy.exp.WishartExpFamily method) expected_theta() (infpy.variational.dirichlet_process.ExpFamilyDP method) ExpFamilyDP (class in infpy.variational.dirichlet_process) ExponentialFamily (class in infpy.exp)

F

factorial() (in module infpy.exp) false_positive_rate() (infpy.roc.RocCalculator method) family (infpy.exp.test.exp_family_test.CheckExpFamily attribute) (infpy.exp.Variable attribute) (infpy.variational.dirichlet_process.ExpFamilyDP attribute) fitness_fn (infpy.genepy.population.Population attribute) fitness_fn() (infpy.decision.test.genepy_test.GenepyTest method)

FixedPeriod1DKernel (class in infpy.gp.periodic_kernel) FixedPeriod1DKernel.Derivative (class in infpy.gp.periodic_kernel) fn (infpy.roc.RocCalculator attribute) fp (infpy.roc.RocCalculator attribute) fpr() (infpy.roc.RocCalculator method)

G

gamma (infpy.dp.VariationalDistribution attribute) (infpy.exp.NormalGammaExpFamily attribute) (infpy.variational.dirichlet_process.ExpFamilyDP attribute) GammaDistribution (class in infpy.distribution) GammaExpFamily (class in infpy.exp) gauss() (infpy.decision.test.genepy_test.GenepyTest class method) gaussian (infpy.exp.NormalGammaExpFamily attribute) GaussianConjugatePrior (class in infpy.exp) GaussianExpFamily (class in infpy.exp) GaussianProcess (class in infpy.gp.gaussian_process) GenepyTest (class in infpy.decision.test.genepy_test) GeneralisedConjPriorTests (class in infpy.exp.test.exp_family_test) GeneralisedExpFamilyTests (class in infpy.exp.test.exp_family_test) generate_bootstrap_samples() (in module infpy.bootstrap) generate_roc_points() (in module infpy.roc) generate_test_data() (in module infpy.dp) generation() (infpy.genepy.population.Population method) get_new_roc_parameter() (in module infpy.roc) gp_1D_predict() (in module infpy.gp.gaussian_process)

gp_1D_X_range() (in module infpy.gp.gaussian_process) gp_ex_fig_22() (in module infpy.gp.gp_examples) gp_ex_fixed_period() (in module infpy.gp.gp_examples) gp_ex_fixed_period_1() (in module infpy.gp.gp_examples) gp_ex_output_scale() (in module infpy.gp.gp_examples) gp_learn_hyperparameters() (in module infpy.gp.gaussian_process) GP_LL_deriv_fn (class in infpy.gp.gaussian_process) GP_LL_fn (class in infpy.gp.gaussian_process) gp_loo_predict() (in module infpy.gp.gaussian_process) gp_loo_predict_i() (in module infpy.gp.gaussian_process) gp_plot_prediction() (in module infpy.gp.gaussian_process) gp_plot_samples_from() (in module infpy.gp.gaussian_process) gp_sample_at() (in module infpy.gp.gaussian_process) gp_sample_from() (in module infpy.gp.gaussian_process) gp_title_and_show() (in module infpy.gp.gaussian_process) gp_zero_mean() (in module infpy.gp.gaussian_process) GPTest (class in infpy.gp.test.gp_test)

H

h() (infpy.exp.ExponentialFamily method) (infpy.exp.GaussianExpFamily method) (infpy.exp.PoissonExpFamily method) Harmonium (class in infpy.dbn.harmonium)

HighDMvnTest (class in infpy.exp.test.exp_family_test) hit_rate() (infpy.roc.RocCalculator method)

I

i (infpy.decision.test.genepy_test.GenepyTest attribute) IdenticalKernel (class in infpy.gp.kernel) index_filter() (in module infpy.utils) IndexMixer (class in infpy.gp.sum_kernel) IndexMixer.Iter (class in infpy.gp.sum_kernel) infpy.__init__ (module) infpy.bootstrap (module) infpy.convergence_test (module) infpy.dbn (module) infpy.dbn.harmonium (module) infpy.dbn.rbm (module) infpy.decision (module) infpy.decision.attributes (module) infpy.decision.decision (module) infpy.decision.genepy_interface (module) infpy.decision.rule_generation (module) infpy.decision.test (module) infpy.decision.test.decision_test (module) infpy.decision.test.genepy_test (module) infpy.decision.test.rule_test (module) infpy.distribution (module) infpy.dp (module) infpy.exp (module) infpy.exp.test (module) infpy.exp.test.exp_family_test (module) infpy.genepy (module) infpy.genepy.population (module) infpy.gp (module) infpy.gp.feature_kernel (module) infpy.gp.gaussian_process (module) infpy.gp.gp_examples (module)

infpy.gp.kernel (module) infpy.gp.kernel_short_names (module) infpy.gp.matern_kernel (module) infpy.gp.neural_network_kernel (module) infpy.gp.periodic_kernel (module) infpy.gp.piecewise_poly_kernel (module) infpy.gp.pre_calculated_kernel (module) infpy.gp.rational_quadratic_kernel (module) infpy.gp.real_kernel (module) infpy.gp.se_kernel (module) infpy.gp.sum_kernel (module) infpy.gp.test (module) infpy.gp.test.gp_test (module) infpy.gp.test.kernel_test (module) infpy.madbayes (module) infpy.madbayes.dpmeans (module) infpy.mixture (module) infpy.roc (module) infpy.test (module) infpy.test.distribution_test (module) infpy.test.utils_test (module) infpy.types (module) infpy.utils (module) infpy.variational (module) infpy.variational.dirichlet_process (module) infpy.variational.message_passing (module) infpy.variational.test (module) init_random() (infpy.dbn.rbm.RBM method) initialise_variational_parameters() (infpy.variational.dirichlet_process.ExpFamilyDP method) insert_decision() (in module infpy.decision.decision)

K

K (infpy.dp.VariationalDistribution attribute) k (infpy.exp.MvnExpFamily attribute) K (infpy.variational.dirichlet_process.ExpFamilyDP attribute) k_fold_cross_validation() (in module infpy.utils)

Kernel (class in infpy.gp.kernel) kernel_init_args_helper() (in module infpy.gp.kernel) KernelParameterFixer (class in infpy.gp.kernel) KL() (infpy.exp.ExponentialFamily method)

L

label_plot() (in module infpy.roc) label_precision_recall() (in module infpy.roc) label_precision_versus_recall() (in module infpy.roc) lambda_ (infpy.variational.dirichlet_process.ExpFamilyDP attribute) lambda_hat() (infpy.dbn.harmonium.Harmonium method) LeafNode (class in infpy.decision.decision) likelihood (infpy.exp.ConjugatePrior attribute) likelihood_dimension (infpy.exp.ConjugatePrior attribute) LL_fns() (infpy.exp.ExponentialFamily method) LlConvergenceTest (class in infpy.convergence_test) LLs (infpy.convergence_test.LlConvergenceTest attribute) log_conjugate_predictive() (infpy.exp.ConjugatePrior method)

log_factorial() (in module infpy.exp) log_likelihood() (infpy.dp.VariationalDistribution method) (infpy.variational.dirichlet_process.ExpFamilyDP method) log_multivariate_gamma() (in module infpy.exp) log_p_T() (infpy.exp.ExponentialFamily method) log_p_x() (infpy.exp.ExponentialFamily method) log_pdf() (infpy.distribution.GammaDistribution method) (infpy.distribution.LogNormalDistribution method) (infpy.distribution.NormalDistribution method) log_tree() (in module infpy.decision.decision) LogNormalDistribution (class in infpy.distribution) loo() (in module infpy.gp.gaussian_process) loo_gen() (in module infpy.gp.gaussian_process) lu_inv() (in module infpy.utils)

M

make_roc_from_threshold_fn() (in module infpy.roc) mate() (infpy.decision.genepy_interface.DecisionTreeSpecies method) Matern32Kernel (class in infpy.gp.matern_kernel) Matern32Kernel.Derivative (class in infpy.gp.matern_kernel) Matern52Kernel (class in infpy.gp.matern_kernel) Matern52Kernel.Derivative (class in infpy.gp.matern_kernel) matrix_from_function() (in module infpy.utils) matrix_is_close() (in module infpy.utils) mean() (infpy.distribution.Distribution method) (infpy.distribution.GammaDistribution method) (infpy.distribution.LogNormalDistribution method) (infpy.distribution.NormalDistribution method) MembershipRule (class in infpy.decision.rule_generation) minimise (infpy.genepy.population.Population attribute)

MixKernel (class in infpy.gp.sum_kernel) ModulatedSquaredExponentialKernel (class in infpy.gp.se_kernel) MultinomialConjugatePrior (class in infpy.exp) mutate() (infpy.decision.genepy_interface.DecisionTreeSpecies method) (infpy.genepy.population.Population method) mutate_node() (in module infpy.decision.decision) mutate_tree() (in module infpy.decision.decision) mvn (infpy.exp.NormalWishartExpFamily attribute) MvnConjPriorTests (class in infpy.exp.test.exp_family_test) MvnConjugatePrior (class in infpy.exp) MvnExpFamily (class in infpy.exp)

N

N (infpy.dp.VariationalDistribution attribute) (infpy.variational.dirichlet_process.ExpFamilyDP attribute) negative_predictive_value() (infpy.roc.RocCalculator method) NeuralNetworkKernel (class in infpy.gp.neural_network_kernel) new_mutated_rule() (in module infpy.decision.rule_generation) new_rule() (in module infpy.decision.rule_generation) new_rule_for_attribute() (in module infpy.decision.rule_generation) next() (infpy.gp.sum_kernel.IndexMixer.Iter method) NodeCounter (class in infpy.decision.decision)

NodeMutator (class in infpy.decision.decision) noise_kernel() (in module infpy.gp.kernel) norm2() (in module infpy.utils) NormalDistribution (class in infpy.distribution) NormalGammaExpFamily (class in infpy.exp) normalisation_dimension (infpy.exp.ExponentialFamily attribute) normalise() (infpy.roc.RocCalculator method) NormalWishartExpFamily (class in infpy.exp)

O

only_possible_outcome() (in module infpy.decision.rule_generation) ord() (in module infpy.decision.test.genepy_test)

OrdinalAttribute (class in infpy.decision.attributes) outcomes (infpy.decision.rule_generation.Context attribute)

P

p (infpy.exp.NormalWishartExpFamily attribute) (infpy.exp.WishartExpFamily attribute) p_mutation (infpy.genepy.population.Population attribute) p_T() (infpy.exp.ExponentialFamily method) (infpy.variational.dirichlet_process.ExpFamilyDP method) P_v() (infpy.dbn.rbm.RBM method) p_x() (infpy.exp.ExponentialFamily method) p_z_given_T() (infpy.variational.dirichlet_process.ExpFamilyDP method) param_generator() (in module infpy.gp.test.kernel_test) performance_coefficient() (infpy.roc.RocCalculator method) phi (infpy.dp.VariationalDistribution attribute) (infpy.variational.dirichlet_process.ExpFamilyDP attribute) pick_roc_thresholds() (in module infpy.roc) picked_rocs_from_thresholds() (in module infpy.roc) PiecewisePoly0Kernel (class in infpy.gp.piecewise_poly_kernel) PiecewisePoly0Kernel.Derivative (class in infpy.gp.piecewise_poly_kernel) PiecewisePoly1Kernel (class in infpy.gp.piecewise_poly_kernel) PiecewisePoly1Kernel.Derivative (class in infpy.gp.piecewise_poly_kernel) PiecewisePolyKernel (class in infpy.gp.piecewise_poly_kernel) plot() (infpy.distribution.Distribution method) (infpy.exp.DirichletExpFamily method) plot_clusters() (in module infpy.madbayes.dpmeans) plot_distribution() (in module infpy.distribution) plot_gaussian() (in module infpy.utils) plot_gaussian_test() (in module infpy.utils) plot_line() (in module infpy.utils)

plot_precision_recall() (in module infpy.roc) plot_precision_versus_recall() (in module infpy.roc) plot_random_classifier() (in module infpy.roc) plot_roc_points() (in module infpy.roc) plot_rocpoint() (in module infpy.roc) plot_rocpoints() (in module infpy.roc) PoissonExpFamily (class in infpy.exp) polya_urn() (in module infpy.dp) Population (class in infpy.genepy.population) positive_predictive_value() (infpy.roc.RocCalculator method) PossibleOutcomes (class in infpy.decision.decision) post_generation_process (infpy.genepy.population.Population attribute) PreCalculatedKernel (class in infpy.gp.pre_calculated_kernel) precision() (infpy.roc.RocCalculator method) predict() (infpy.gp.gaussian_process.GaussianProcess method) predictive() (infpy.dp.VariationalDistribution method) print_tree() (in module infpy.decision.decision) prior (infpy.exp.ConjugatePrior attribute) ProductKernel (class in infpy.gp.sum_kernel) prune_individuals() (infpy.decision.genepy_interface.DecisionTreeSpecies method) prune_tree() (in module infpy.decision.decision)

Q

Q_h() (infpy.dbn.rbm.RBM method)

R

randint() (infpy.decision.test.genepy_test.GenepyTest class method) random() (in module infpy.decision) (in module infpy.decision.decision) (in module infpy.decision.rule_generation) (in module infpy.genepy) (in module infpy.genepy.population) random_individual() (infpy.decision.genepy_interface.DecisionTreeSpecies method) RationalQuadraticKernel (class in infpy.gp.rational_quadratic_kernel) RationalQuadraticKernel.Derivative (class in infpy.gp.rational_quadratic_kernel) RationalQuadraticKernelAlphaParameterised (class in infpy.gp.rational_quadratic_kernel) RationalQuadraticKernelAlphaParameterised.Derivative (class in infpy.gp.rational_quadratic_kernel) RBM (class in infpy.dbn.rbm) RealKernel (class in infpy.gp.real_kernel) RealKernelTest (class in infpy.gp.test.kernel_test) recall() (infpy.roc.RocCalculator method)

reestimate() (infpy.gp.gaussian_process.GaussianProcess method) replace_rule() (in module infpy.decision.decision) reproduce() (infpy.genepy.population.Population method) resize_negative_examples() (in module infpy.roc) restrict_false_positives() (in module infpy.roc) roc_for_threshold() (in module infpy.roc) RocCalculator (class in infpy.roc) rocs_from_thresholds() (in module infpy.roc) Rule (class in infpy.decision.rule_generation) RuleTest (class in infpy.decision.test.rule_test)

S

s (infpy.decision.decision.PossibleOutcomes attribute) sample() (infpy.exp.DirichletExpFamily method) (infpy.exp.DiscreteExpFamily method) (infpy.exp.GammaExpFamily method) (infpy.exp.GaussianExpFamily method) (infpy.exp.MvnExpFamily method) (infpy.exp.NormalGammaExpFamily method) (infpy.exp.NormalWishartExpFamily method) (infpy.exp.PoissonExpFamily method) (infpy.exp.WishartExpFamily method) sample_from() (infpy.distribution.Distribution method) (infpy.distribution.GammaDistribution method) (infpy.distribution.LogNormalDistribution method) (infpy.distribution.NormalDistribution method) score_individuals() (infpy.genepy.population.Population method) select_parents() (infpy.genepy.population.Population method) sensitivity() (infpy.roc.RocCalculator method) set_params() (infpy.gp.gaussian_process.GaussianProcess method) (infpy.gp.kernel.Kernel method) setUp() (infpy.exp.test.exp_family_test.HighDMvnTest method) (infpy.gp.test.gp_test.GPTest method) (infpy.gp.test.kernel_test.RealKernelTest method) should_increase (infpy.convergence_test.LlConvergenceTest attribute) show_samples() (in module infpy.test.distribution_test)

sigmoid() (in module infpy.dbn.rbm) species (infpy.decision.test.genepy_test.GenepyTest attribute) (infpy.genepy.population.Population attribute) specificity() (infpy.roc.RocCalculator method) SquaredExponentialKernel (class in infpy.gp.se_kernel) SquaredExponentialKernel.Derivative (class in infpy.gp.se_kernel) StraightThroughRule (class in infpy.decision.rule_generation) strength_dimension (infpy.exp.ConjugatePrior attribute) suite() (in module infpy.decision.test) (in module infpy.exp.test) (in module infpy.gp.test) (in module infpy.test) (in module infpy.variational.test) SumKernel (class in infpy.gp.sum_kernel) supports() (infpy.distribution.Distribution method) (infpy.distribution.GammaDistribution method) (infpy.distribution.LogNormalDistribution method) (infpy.gp.kernel.Kernel method)

T

T() (infpy.exp.DirichletExpFamily method) (infpy.exp.DiscreteExpFamily method) (infpy.exp.GammaExpFamily method) (infpy.exp.GaussianExpFamily method) (infpy.exp.MvnExpFamily method) (infpy.exp.NormalGammaExpFamily method) (infpy.exp.NormalWishartExpFamily method) (infpy.exp.PoissonExpFamily method) (infpy.exp.WishartExpFamily method) tau (infpy.dp.VariationalDistribution attribute) (infpy.variational.dirichlet_process.ExpFamilyDP attribute) tau_0 (infpy.variational.dirichlet_process.ExpFamilyDP attribute) tearDown() (infpy.gp.test.gp_test.GPTest method) test() (infpy.exp.test.exp_family_test.GeneralisedConjPriorTests method) (infpy.exp.test.exp_family_test.GeneralisedExpFamilyTests method) (infpy.test.utils_test.CloseToTest method) (infpy.test.utils_test.ZeroMeanUnityVarianceTest method) test_call() (infpy.decision.test.genepy_test.GenepyTest method) test_combination() (infpy.decision.test.genepy_test.GenepyTest method) test_exp_family_std_methods() (infpy.exp.test.exp_family_test.HighDMvnTest method) test_expectations_by_sampling() (infpy.exp.test.exp_family_test.HighDMvnTest method) (infpy.exp.test.exp_family_test.MvnConjPriorTests method) test_initialisation() (infpy.decision.test.genepy_test.GenepyTest method) test_mutation() (infpy.decision.test.genepy_test.GenepyTest method) test_overall() (infpy.decision.test.genepy_test.GenepyTest method) test_pdf_derivative() (infpy.test.distribution_test.DistributionTest method) test_rule_generation() (infpy.decision.test.rule_test.RuleTest method) test_sample() (infpy.test.distribution_test.DistributionTest method)

test_str() (infpy.test.distribution_test.DistributionTest method) testGradients() (infpy.gp.test.gp_test.GPTest method) (infpy.gp.test.kernel_test.RealKernelTest method) testLearn() (infpy.gp.test.gp_test.GPTest method) testSampleFrom() (infpy.gp.test.gp_test.GPTest method) testStr() (infpy.gp.test.kernel_test.RealKernelTest method) theta() (infpy.exp.DirichletExpFamily method) (infpy.exp.DiscreteExpFamily method) (infpy.exp.GammaExpFamily method) (infpy.exp.GaussianExpFamily method) (infpy.exp.MvnExpFamily method) (infpy.exp.NormalGammaExpFamily method) (infpy.exp.NormalWishartExpFamily method) (infpy.exp.PoissonExpFamily method) (infpy.exp.WishartExpFamily method) theta_hat() (infpy.dbn.harmonium.Harmonium method) tn (infpy.roc.RocCalculator attribute) total_negative (infpy.roc.RocCalculator attribute) total_positive (infpy.roc.RocCalculator attribute) tp (infpy.roc.RocCalculator attribute) tpr() (infpy.roc.RocCalculator method) tree_has_only_one_outcome() (in module infpy.decision.decision) tree_possible_outcomes() (in module infpy.decision.decision) true_positive_rate() (infpy.roc.RocCalculator method)

U

update() (infpy.dbn.rbm.RBM method) (infpy.dp.VariationalDistribution method) (infpy.variational.dirichlet_process.ExpFamilyDP method) update_gamma() (infpy.variational.dirichlet_process.ExpFamilyDP method) update_phi() (infpy.variational.dirichlet_process.ExpFamilyDP method)

update_roc() (in module infpy.roc) update_tau() (infpy.variational.dirichlet_process.ExpFamilyDP method) use_absolute_difference (infpy.convergence_test.LlConvergenceTest attribute)

V

Variable (class in infpy.exp) variance() (infpy.distribution.Distribution method) (infpy.distribution.GammaDistribution method) (infpy.distribution.LogNormalDistribution method) (infpy.distribution.NormalDistribution method) VariationalDistribution (class in infpy.dp)

vectorisable (infpy.exp.ExponentialFamily attribute) version_string() (in module infpy.__init__) visit_tree_nodes() (in module infpy.decision.decision)

W

wishart (infpy.exp.NormalWishartExpFamily attribute)

WishartExpFamily (class in infpy.exp)

X

X (infpy.dp.VariationalDistribution attribute)

x() (infpy.exp.DirichletExpFamily method) (infpy.exp.DiscreteExpFamily method) (infpy.exp.GammaExpFamily method) (infpy.exp.GaussianExpFamily method) (infpy.exp.MvnExpFamily method) (infpy.exp.NormalGammaExpFamily method) (infpy.exp.NormalWishartExpFamily method) (infpy.exp.PoissonExpFamily method) (infpy.exp.WishartExpFamily method)

Z

zero_mean_unity_variance() (in module infpy.utils)

ZeroMeanUnityVarianceTest (class in infpy.test.utils_test)