Index

A

add_sampled_points() (moe.optimal_learning.python.cpp_wrappers.gaussian_process.GaussianProcess method) (moe.optimal_learning.python.interfaces.gaussian_process_interface.GaussianProcessInterface method) (moe.optimal_learning.python.python_version.gaussian_process.GaussianProcess method) ALL_REST_ROUTES_ROUTE_NAME_TO_ENDPOINT (in module moe.views.constant) allocate_arms() (moe.bandit.bandit_interface.BanditInterface method) (moe.bandit.bla.bla.BLA method) (moe.bandit.epsilon.epsilon_first.EpsilonFirst method) (moe.bandit.epsilon.epsilon_greedy.EpsilonGreedy method) (moe.bandit.ucb.ucb_interface.UCBInterface method) append_historical_data() (moe.optimal_learning.python.data_containers.HistoricalData method) append_sample_arms() (moe.bandit.data_containers.HistoricalData method) append_sample_points() (moe.optimal_learning.python.data_containers.HistoricalData method) approx_grad (moe.tests.optimal_learning.python.python_version.expected_improvement_test.TestExpectedImprovement attribute)

ArmAllocations (class in moe.views.schemas.bandit_pretty_view) arms_sampled (moe.bandit.data_containers.HistoricalData attribute) ArmsSampled (class in moe.views.schemas.bandit_pretty_view) assert_points_distinct() (moe.tests.optimal_learning.python.optimal_learning_test_case.OptimalLearningTestCase static method) assert_scalar_within_absolute() (moe.tests.optimal_learning.python.optimal_learning_test_case.OptimalLearningTestCase static method) assert_scalar_within_relative() (moe.tests.optimal_learning.python.optimal_learning_test_case.OptimalLearningTestCase static method) assert_vector_within_relative() (moe.tests.optimal_learning.python.optimal_learning_test_case.OptimalLearningTestCase static method)

B

bandit() (in module moe.easy_interface.bandit_simple_endpoint) bandit_bla_view() (moe.views.rest.bandit_bla.BanditBLAView method) bandit_class (moe.bandit.linkers.BanditMethod attribute) (moe.tests.bandit.bandit_test_case.BanditTestCase attribute) (moe.tests.bandit.bla.bla_test.TestBLA attribute) (moe.tests.bandit.epsilon.epsilon_first_test.TestEpsilonFirst attribute) (moe.tests.bandit.epsilon.epsilon_greedy_test.TestEpsilonGreedy attribute) (moe.tests.bandit.ucb.ucb1_test.TestUCB1 attribute) (moe.tests.bandit.ucb.ucb1_tuned_test.TestUCB1Tuned attribute) BANDIT_EPSILON_SUBTYPES_TO_HYPERPARAMETER_INFO_SCHEMA_CLASSES (in module moe.views.schemas.bandit_pretty_view) bandit_epsilon_view() (moe.views.rest.bandit_epsilon.BanditEpsilonView method) bandit_ucb_view() (moe.views.rest.bandit_ucb.BanditUCBView method) BanditBLARequest (class in moe.views.schemas.rest.bandit_bla) BanditBLAView (class in moe.views.rest.bandit_bla) BanditEpsilonFirstHyperparameterInfo (class in moe.views.schemas.bandit_pretty_view) BanditEpsilonGreedyHyperparameterInfo (class in moe.views.schemas.bandit_pretty_view) BanditEpsilonRequest (class in moe.views.schemas.rest.bandit_epsilon) BanditEpsilonView (class in moe.views.rest.bandit_epsilon) BanditHistoricalInfo (class in moe.views.schemas.bandit_pretty_view) BanditInterface (class in moe.bandit.bandit_interface) BanditMethod (class in moe.bandit.linkers) BanditPrettyView (class in moe.views.bandit_pretty_view) BanditResponse (class in moe.views.schemas.bandit_pretty_view)

BanditTestCase (class in moe.tests.bandit.bandit_test_case) BanditUCBRequest (class in moe.views.schemas.rest.bandit_ucb) BanditUCBView (class in moe.views.rest.bandit_ucb) base_setup() (moe.tests.optimal_learning.python.comparison_test.TestEqualityComparisonMixin class method) (moe.tests.optimal_learning.python.cpp_wrappers.expected_improvement_test.TestExpectedImprovement class method) (moe.tests.optimal_learning.python.cpp_wrappers.gaussian_process_test.TestGaussianProcess class method) (moe.tests.optimal_learning.python.cpp_wrappers.optimization_test.TestOptimizerParameters class method) (moe.tests.optimal_learning.python.gaussian_process_test_case.GaussianProcessTestCase class method) (moe.tests.optimal_learning.python.geometry_utils_test.TestClosedInterval class method) (moe.tests.optimal_learning.python.geometry_utils_test.TestLatinHypercubeRandomPointGeneration class method) (moe.tests.optimal_learning.python.python_version.covariance_test.TestSquareExponential class method) (moe.tests.optimal_learning.python.python_version.expected_improvement_test.TestExpectedImprovement class method) (moe.tests.optimal_learning.python.python_version.optimization_test.TestNullOptimizer class method) (moe.tests.optimal_learning.python.python_version.optimization_test.TestOptimizer class method) bernoulli_historical_infos_to_test (moe.tests.bandit.bandit_test_case.BanditTestCase attribute) bernoulli_mean_and_var() (in module moe_examples.blog_post_example_ab_testing) BernoulliArm (class in moe.bandit.data_containers) BFGS_parameters (moe.tests.optimal_learning.python.python_version.expected_improvement_test.TestExpectedImprovement attribute) BLA (class in moe.bandit.bla.bla) BoundedDomainInfo (class in moe.views.schemas.base_schemas) build_closed_intervals_from_list() (moe.optimal_learning.python.geometry_utils.ClosedInterval static method) build_covariance_matrix() (in module moe.optimal_learning.python.python_version.python_utils) build_hyperparameter_grad_covariance_matrix() (in module moe.optimal_learning.python.python_version.python_utils) build_json_payload() (moe.easy_interface.experiment.Experiment method) build_mix_covariance_matrix() (in module moe.optimal_learning.python.python_version.python_utils) build_random_gaussian_process() (in module moe.tests.optimal_learning.python.gaussian_process_test_utils)

C

calculate_system_ctr() (in module moe_examples.blog_post_example_ab_testing) call_endpoint_with_payload() (in module moe.easy_interface.simple_endpoint) check_point_inside() (moe.optimal_learning.python.cpp_wrappers.domain.SimplexIntersectTensorProductDomain method) (moe.optimal_learning.python.cpp_wrappers.domain.TensorProductDomain method) (moe.optimal_learning.python.interfaces.domain_interface.DomainInterface method) (moe.optimal_learning.python.python_version.domain.TensorProductDomain method) (moe.optimal_learning.python.repeated_domain.RepeatedDomain method) choose_arm() (moe.bandit.bandit_interface.BanditInterface static method) ClosedInterval (class in moe.optimal_learning.python.geometry_utils) COBYLAOptimizer (class in moe.optimal_learning.python.python_version.optimization) COBYLAParameters (class in moe.optimal_learning.python.python_version.optimization) ComparableTestObject (class in moe.tests.optimal_learning.python.comparison_test) compute_cholesky_variance_of_points() (moe.optimal_learning.python.cpp_wrappers.gaussian_process.GaussianProcess method) (moe.optimal_learning.python.interfaces.gaussian_process_interface.GaussianProcessInterface method) (moe.optimal_learning.python.python_version.gaussian_process.GaussianProcess method) compute_expected_improvement() (moe.optimal_learning.python.cpp_wrappers.expected_improvement.ExpectedImprovement method) (moe.optimal_learning.python.interfaces.expected_improvement_interface.ExpectedImprovementInterface method) (moe.optimal_learning.python.python_version.expected_improvement.ExpectedImprovement method) compute_grad_cholesky_variance_of_points() (moe.optimal_learning.python.cpp_wrappers.gaussian_process.GaussianProcess method) (moe.optimal_learning.python.interfaces.gaussian_process_interface.GaussianProcessInterface method) (moe.optimal_learning.python.python_version.gaussian_process.GaussianProcess method) compute_grad_expected_improvement() (moe.optimal_learning.python.cpp_wrappers.expected_improvement.ExpectedImprovement method) (moe.optimal_learning.python.interfaces.expected_improvement_interface.ExpectedImprovementInterface method) (moe.optimal_learning.python.python_version.expected_improvement.ExpectedImprovement method) compute_grad_log_likelihood() (moe.optimal_learning.python.cpp_wrappers.log_likelihood.GaussianProcessLogLikelihood method) (moe.optimal_learning.python.interfaces.log_likelihood_interface.GaussianProcessLogLikelihoodInterface method) (moe.optimal_learning.python.python_version.log_likelihood.GaussianProcessLogMarginalLikelihood method) compute_grad_mean_of_points() (moe.optimal_learning.python.cpp_wrappers.gaussian_process.GaussianProcess method) (moe.optimal_learning.python.interfaces.gaussian_process_interface.GaussianProcessInterface method) (moe.optimal_learning.python.python_version.gaussian_process.GaussianProcess method) compute_grad_objective_function() (moe.optimal_learning.python.cpp_wrappers.expected_improvement.ExpectedImprovement method) (moe.optimal_learning.python.cpp_wrappers.log_likelihood.GaussianProcessLogLikelihood method) (moe.optimal_learning.python.interfaces.optimization_interface.OptimizableInterface method) (moe.optimal_learning.python.python_version.expected_improvement.ExpectedImprovement method) (moe.optimal_learning.python.python_version.log_likelihood.GaussianProcessLogMarginalLikelihood method) (moe.tests.optimal_learning.python.python_version.optimization_test.QuadraticFunction method) compute_grad_variance_of_points() (moe.optimal_learning.python.cpp_wrappers.gaussian_process.GaussianProcess method) (moe.optimal_learning.python.interfaces.gaussian_process_interface.GaussianProcessInterface method) (moe.optimal_learning.python.python_version.gaussian_process.GaussianProcess method) compute_hessian_log_likelihood() (moe.optimal_learning.python.cpp_wrappers.log_likelihood.GaussianProcessLeaveOneOutLogLikelihood method) (moe.optimal_learning.python.cpp_wrappers.log_likelihood.GaussianProcessLogLikelihood method) (moe.optimal_learning.python.interfaces.log_likelihood_interface.GaussianProcessLogLikelihoodInterface method) (moe.optimal_learning.python.python_version.log_likelihood.GaussianProcessLogMarginalLikelihood method) compute_hessian_objective_function() (moe.optimal_learning.python.cpp_wrappers.expected_improvement.ExpectedImprovement method) (moe.optimal_learning.python.cpp_wrappers.log_likelihood.GaussianProcessLogLikelihood method) (moe.optimal_learning.python.interfaces.optimization_interface.OptimizableInterface method) (moe.optimal_learning.python.python_version.expected_improvement.ExpectedImprovement method) (moe.optimal_learning.python.python_version.log_likelihood.GaussianProcessLogMarginalLikelihood method) (moe.tests.optimal_learning.python.python_version.optimization_test.QuadraticFunction method) compute_log_likelihood() (moe.optimal_learning.python.cpp_wrappers.log_likelihood.GaussianProcessLogLikelihood method) (moe.optimal_learning.python.interfaces.log_likelihood_interface.GaussianProcessLogLikelihoodInterface method) (moe.optimal_learning.python.python_version.log_likelihood.GaussianProcessLogMarginalLikelihood method) compute_mean_of_points() (moe.optimal_learning.python.cpp_wrappers.gaussian_process.GaussianProcess method) (moe.optimal_learning.python.interfaces.gaussian_process_interface.GaussianProcessInterface method) (moe.optimal_learning.python.python_version.gaussian_process.GaussianProcess method) compute_next_points_to_sample_response() (moe.views.gp_next_points_pretty_view.GpNextPointsPrettyView method)

compute_objective_function() (moe.optimal_learning.python.cpp_wrappers.expected_improvement.ExpectedImprovement method) (moe.optimal_learning.python.cpp_wrappers.log_likelihood.GaussianProcessLogLikelihood method) (moe.optimal_learning.python.interfaces.optimization_interface.OptimizableInterface method) (moe.optimal_learning.python.python_version.expected_improvement.ExpectedImprovement method) (moe.optimal_learning.python.python_version.log_likelihood.GaussianProcessLogMarginalLikelihood method) (moe.tests.optimal_learning.python.python_version.optimization_test.QuadraticFunction method) compute_update_restricted_to_domain() (moe.optimal_learning.python.cpp_wrappers.domain.SimplexIntersectTensorProductDomain method) (moe.optimal_learning.python.cpp_wrappers.domain.TensorProductDomain method) (moe.optimal_learning.python.interfaces.domain_interface.DomainInterface method) (moe.optimal_learning.python.python_version.domain.TensorProductDomain method) (moe.optimal_learning.python.repeated_domain.RepeatedDomain method) compute_variance_of_points() (moe.optimal_learning.python.cpp_wrappers.gaussian_process.GaussianProcess method) (moe.optimal_learning.python.interfaces.gaussian_process_interface.GaussianProcessInterface method) (moe.optimal_learning.python.python_version.gaussian_process.GaussianProcess method) constant_liar_expected_improvement_optimization() (in module moe.optimal_learning.python.cpp_wrappers.expected_improvement) CONSTANT_LIAR_METHODS (in module moe.optimal_learning.python.constant) covariance() (moe.optimal_learning.python.cpp_wrappers.covariance.SquareExponential method) (moe.optimal_learning.python.interfaces.covariance_interface.CovarianceInterface method) (moe.optimal_learning.python.python_version.covariance.SquareExponential method) COVARIANCE_INFO (in module moe_examples.blog_post_example_ab_testing) covariance_type (moe.optimal_learning.python.cpp_wrappers.covariance.SquareExponential attribute) (moe.optimal_learning.python.python_version.covariance.SquareExponential attribute) COVARIANCE_TYPES (in module moe.optimal_learning.python.constant) CovarianceInfo (class in moe.views.schemas.base_schemas) CovarianceInterface (class in moe.optimal_learning.python.interfaces.covariance_interface) CovarianceLinks (class in moe.optimal_learning.python.linkers) cpp_covariance_class (moe.optimal_learning.python.linkers.CovarianceLinks attribute) cpp_domain_class (moe.optimal_learning.python.linkers.DomainLinks attribute) cpp_optimizer_class (moe.optimal_learning.python.linkers.OptimizerMethod attribute) cpp_parameters_class (moe.optimal_learning.python.linkers.OptimizerMethod attribute) cppify() (in module moe.optimal_learning.python.cpp_wrappers.cpp_utils) cppify_hyperparameters() (in module moe.optimal_learning.python.cpp_wrappers.cpp_utils) create_webapp() (moe.tests.views.rest_test_case.RestTestCase class method) (moe_examples.tests.moe_example_test_case.MoeExampleTestCase class method) current_point (moe.optimal_learning.python.cpp_wrappers.expected_improvement.ExpectedImprovement attribute) (moe.optimal_learning.python.cpp_wrappers.log_likelihood.GaussianProcessLogLikelihood attribute) (moe.optimal_learning.python.interfaces.optimization_interface.OptimizableInterface attribute) (moe.optimal_learning.python.python_version.expected_improvement.ExpectedImprovement attribute) (moe.optimal_learning.python.python_version.log_likelihood.GaussianProcessLogMarginalLikelihood attribute) (moe.tests.optimal_learning.python.python_version.optimization_test.QuadraticFunction attribute)

D

DEFAULT_MAX_NUM_THREADS (in module moe.optimal_learning.python.constant) DefaultOptimizerInfoTuple (class in moe.optimal_learning.python.constant) dim (moe.optimal_learning.python.cpp_wrappers.domain.SimplexIntersectTensorProductDomain attribute) (moe.optimal_learning.python.cpp_wrappers.domain.TensorProductDomain attribute) (moe.optimal_learning.python.cpp_wrappers.expected_improvement.ExpectedImprovement attribute) (moe.optimal_learning.python.cpp_wrappers.gaussian_process.GaussianProcess attribute) (moe.optimal_learning.python.cpp_wrappers.log_likelihood.GaussianProcessLogLikelihood attribute) (moe.optimal_learning.python.data_containers.HistoricalData attribute) (moe.optimal_learning.python.interfaces.domain_interface.DomainInterface attribute) (moe.optimal_learning.python.interfaces.expected_improvement_interface.ExpectedImprovementInterface attribute) (moe.optimal_learning.python.interfaces.gaussian_process_interface.GaussianProcessInterface attribute) (moe.optimal_learning.python.interfaces.log_likelihood_interface.GaussianProcessLogLikelihoodInterface attribute) (moe.optimal_learning.python.python_version.domain.TensorProductDomain attribute) (moe.optimal_learning.python.python_version.expected_improvement.ExpectedImprovement attribute) (moe.optimal_learning.python.python_version.gaussian_process.GaussianProcess attribute) (moe.optimal_learning.python.python_version.log_likelihood.GaussianProcessLogMarginalLikelihood attribute) (moe.optimal_learning.python.repeated_domain.RepeatedDomain attribute) (moe.tests.optimal_learning.python.cpp_wrappers.expected_improvement_test.TestExpectedImprovement attribute) (moe.tests.optimal_learning.python.cpp_wrappers.log_likelihood_test.TestLogLikelihood attribute) (moe.tests.optimal_learning.python.gaussian_process_test_case.GaussianProcessTestCase attribute) (moe.tests.optimal_learning.python.python_version.expected_improvement_test.TestExpectedImprovement attribute) (moe.tests.optimal_learning.python.python_version.log_likelihood_test.TestGaussianProcessLogMarginalLikelihood attribute) (moe.tests.optimal_learning.python.python_version.optimization_test.QuadraticFunction attribute) disable_logging() (in module moe.tests.bandit.bandit_interface_test) (in module moe.tests.bandit.data_containers_test) (in module moe.tests.bandit.epsilon.epsilon_test) (in module moe.tests.bandit.utils_test) (in module moe.tests.views.exceptions_test) Domain (class in moe.views.schemas.base_schemas) domain_bounds (moe.optimal_learning.python.cpp_wrappers.domain.SimplexIntersectTensorProductDomain attribute) (moe.optimal_learning.python.cpp_wrappers.domain.TensorProductDomain attribute)

domain_type (moe.optimal_learning.python.cpp_wrappers.domain.SimplexIntersectTensorProductDomain attribute) (moe.optimal_learning.python.cpp_wrappers.domain.TensorProductDomain attribute) (moe.optimal_learning.python.python_version.domain.TensorProductDomain attribute) DOMAIN_TYPES (in module moe.optimal_learning.python.constant) DomainCoordinate (class in moe.views.schemas.base_schemas) DomainInfo (class in moe.views.schemas.base_schemas) DomainInterface (class in moe.optimal_learning.python.interfaces.domain_interface) DomainLinks (class in moe.optimal_learning.python.linkers)

E

endpoint (moe.tests.views.rest.gp_ei_test.TestGpEiView attribute) (moe.tests.views.rest.gp_mean_var_test.TestGpMeanVarView attribute) (moe.tests.views.rest_test_case.RestTestCase attribute) ENDPOINT_TO_DEFAULT_OPTIMIZER_TYPE (in module moe.optimal_learning.python.constant) epsilon (moe.tests.optimal_learning.python.python_version.expected_improvement_test.TestExpectedImprovement attribute) EPSILON_BANDIT_PARAMETER (in module moe_examples.blog_post_example_ab_testing) EpsilonFirst (class in moe.bandit.epsilon.epsilon_first) EpsilonGreedy (class in moe.bandit.epsilon.epsilon_greedy) EpsilonInterface (class in moe.bandit.epsilon.epsilon_interface) epsilons_to_test (moe.tests.bandit.epsilon.epsilon_test_case.EpsilonTestCase attribute) EpsilonTestCase (class in moe.tests.bandit.epsilon.epsilon_test_case)

EqualityComparisonMixin (class in moe.optimal_learning.python.comparison) evaluate_at_point_list() (moe.optimal_learning.python.cpp_wrappers.expected_improvement.ExpectedImprovement method) (moe.optimal_learning.python.python_version.expected_improvement.ExpectedImprovement method) evaluate_log_likelihood_at_hyperparameter_list() (in module moe.optimal_learning.python.cpp_wrappers.log_likelihood) (in module moe.optimal_learning.python.python_version.log_likelihood) ExpectedImprovement (class in moe.optimal_learning.python.cpp_wrappers.expected_improvement) (class in moe.optimal_learning.python.python_version.expected_improvement) ExpectedImprovementInterface (class in moe.optimal_learning.python.interfaces.expected_improvement_interface) Experiment (class in moe.easy_interface.experiment) EXPERIMENT_DOMAIN (in module moe_examples.blog_post_example_ab_testing) EXPERIMENT_ITERATIONS (in module moe_examples.blog_post_example_ab_testing)

F

factr (moe.tests.optimal_learning.python.python_version.expected_improvement_test.TestExpectedImprovement attribute) failed_colander_validation() (in module moe.views.exceptions) fill_random_covariance_hyperparameters() (in module moe.tests.optimal_learning.python.gaussian_process_test_utils) fill_random_domain_bounds() (in module moe.tests.optimal_learning.python.gaussian_process_test_utils)

find_new_points_to_sample() (in module moe_examples.blog_post_example_ab_testing) form_response() (moe.views.pretty_view.PrettyView method) function_to_minimize() (in module moe_examples.combined_example) (in module moe_examples.next_point_via_simple_endpoint)

G

GaussianProcess (class in moe.optimal_learning.python.cpp_wrappers.gaussian_process) (class in moe.optimal_learning.python.python_version.gaussian_process) GaussianProcessDataInterface (class in moe.optimal_learning.python.interfaces.gaussian_process_interface) GaussianProcessInterface (class in moe.optimal_learning.python.interfaces.gaussian_process_interface) GaussianProcessLeaveOneOutLogLikelihood (class in moe.optimal_learning.python.cpp_wrappers.log_likelihood) GaussianProcessLogLikelihood (class in moe.optimal_learning.python.cpp_wrappers.log_likelihood) GaussianProcessLogLikelihoodInterface (class in moe.optimal_learning.python.interfaces.log_likelihood_interface) GaussianProcessLogMarginalLikelihood (class in moe.optimal_learning.python.cpp_wrappers.log_likelihood) (class in moe.optimal_learning.python.python_version.log_likelihood) GaussianProcessParameters (class in moe.optimal_learning.python.constant) GaussianProcessTestCase (class in moe.tests.optimal_learning.python.gaussian_process_test_case) GaussianProcessTestEnvironment (class in moe.tests.optimal_learning.python.gaussian_process_test_case) GaussianProcessTestEnvironmentInput (class in moe.tests.optimal_learning.python.gaussian_process_test_case) general_error() (in module moe.views.exceptions) generate_grid_points() (in module moe.optimal_learning.python.geometry_utils) generate_grid_points_in_domain() (moe.optimal_learning.python.python_version.domain.TensorProductDomain method) generate_initial_traffic() (in module moe_examples.blog_post_example_ab_testing) generate_latin_hypercube_points() (in module moe.optimal_learning.python.geometry_utils) generate_new_arms() (in module moe_examples.blog_post_example_ab_testing) generate_random_point_in_domain() (moe.optimal_learning.python.cpp_wrappers.domain.TensorProductDomain method) (moe.optimal_learning.python.interfaces.domain_interface.DomainInterface method) (moe.optimal_learning.python.python_version.domain.TensorProductDomain method) (moe.optimal_learning.python.repeated_domain.RepeatedDomain method) generate_uniform_random_points_in_domain() (moe.optimal_learning.python.cpp_wrappers.domain.SimplexIntersectTensorProductDomain method) (moe.optimal_learning.python.cpp_wrappers.domain.TensorProductDomain method) (moe.optimal_learning.python.interfaces.domain_interface.DomainInterface method) (moe.optimal_learning.python.python_version.domain.TensorProductDomain method) (moe.optimal_learning.python.repeated_domain.RepeatedDomain method) get_allocations() (in module moe_examples.blog_post_example_ab_testing) get_bla_payoff() (moe.bandit.bla.bla.BLA method) get_bounding_box() (moe.optimal_learning.python.cpp_wrappers.domain.TensorProductDomain method) (moe.optimal_learning.python.interfaces.domain_interface.DomainInterface method) (moe.optimal_learning.python.python_version.domain.TensorProductDomain method) (moe.optimal_learning.python.repeated_domain.RepeatedDomain method) get_constraint_list() (moe.optimal_learning.python.cpp_wrappers.domain.TensorProductDomain method) (moe.optimal_learning.python.interfaces.domain_interface.DomainInterface method) (moe.optimal_learning.python.python_version.domain.TensorProductDomain method) (moe.optimal_learning.python.repeated_domain.RepeatedDomain method) get_core_data_copy() (moe.optimal_learning.python.interfaces.gaussian_process_interface.GaussianProcessDataInterface method) get_covariance_copy() (moe.optimal_learning.python.cpp_wrappers.gaussian_process.GaussianProcess method) (moe.optimal_learning.python.cpp_wrappers.log_likelihood.GaussianProcessLogLikelihood method) (moe.optimal_learning.python.interfaces.gaussian_process_interface.GaussianProcessDataInterface method) (moe.optimal_learning.python.python_version.gaussian_process.GaussianProcess method) (moe.optimal_learning.python.python_version.log_likelihood.GaussianProcessLogMarginalLikelihood method) get_current_point() (moe.optimal_learning.python.cpp_wrappers.expected_improvement.ExpectedImprovement method) (moe.optimal_learning.python.interfaces.optimization_interface.OptimizableInterface method) (moe.optimal_learning.python.python_version.expected_improvement.ExpectedImprovement method) (moe.tests.optimal_learning.python.python_version.optimization_test.QuadraticFunction method) get_equal_arm_allocations() (in module moe.bandit.utils) get_historical_data_copy() (moe.optimal_learning.python.cpp_wrappers.gaussian_process.GaussianProcess method) (moe.optimal_learning.python.cpp_wrappers.log_likelihood.GaussianProcessLogLikelihood method) (moe.optimal_learning.python.interfaces.gaussian_process_interface.GaussianProcessDataInterface method) (moe.optimal_learning.python.python_version.gaussian_process.GaussianProcess method) (moe.optimal_learning.python.python_version.log_likelihood.GaussianProcessLogMarginalLikelihood method) get_hyperparameters() (moe.optimal_learning.python.cpp_wrappers.covariance.SquareExponential method) (moe.optimal_learning.python.cpp_wrappers.log_likelihood.GaussianProcessLogLikelihood method) (moe.optimal_learning.python.interfaces.covariance_interface.CovarianceInterface method) (moe.optimal_learning.python.interfaces.log_likelihood_interface.GaussianProcessLogLikelihoodInterface method) (moe.optimal_learning.python.python_version.covariance.SquareExponential method) (moe.optimal_learning.python.python_version.log_likelihood.GaussianProcessLogMarginalLikelihood method) get_json_serializable_info() (moe.optimal_learning.python.cpp_wrappers.covariance.SquareExponential method) (moe.optimal_learning.python.cpp_wrappers.domain.TensorProductDomain method) (moe.optimal_learning.python.python_version.covariance.SquareExponential method) (moe.optimal_learning.python.python_version.domain.TensorProductDomain method) get_lie_value() (moe.views.rest.gp_next_points_constant_liar.GpNextPointsConstantLiar method) get_params_from_request() (moe.views.optimizable_gp_pretty_view.OptimizableGpPrettyView method) (moe.views.pretty_view.PrettyView method) (moe.views.rest.bandit_epsilon.BanditEpsilonView method) get_ucb_payoff() (moe.bandit.ucb.ucb1.UCB1 method) (moe.bandit.ucb.ucb1_tuned.UCB1Tuned method) (moe.bandit.ucb.ucb_interface.UCBInterface method) get_unsampled_arm_names() (moe.bandit.ucb.ucb_interface.UCBInterface static method) get_winning_arm_names() (moe.bandit.bla.bla.BLA method) (moe.bandit.epsilon.epsilon_interface.EpsilonInterface static method) (moe.bandit.ucb.ucb_interface.UCBInterface method) get_winning_arm_names_from_payoff_arm_name_list() (in module moe.bandit.utils) GLOBAL_OPTIMAL_PARAMETER (in module moe_examples.blog_post_example_ab_testing) gp_ei_view() (moe.views.rest.gp_ei.GpEiView method) gp_hyper_opt() (in module moe.easy_interface.simple_endpoint) gp_hyper_opt_view() (moe.views.rest.gp_hyper_opt.GpHyperOptView method) gp_mean_var() (in module moe.easy_interface.simple_endpoint) gp_mean_var_diag_view() (moe.views.rest.gp_mean_var.GpMeanVarDiagView method) gp_mean_var_response_dict() (moe.views.rest.gp_mean_var.GpMeanVarBaseView method) gp_mean_var_view() (moe.views.rest.gp_mean_var.GpMeanVarView method) gp_mean_view() (moe.views.rest.gp_mean_var.GpMeanView method) gp_next_points() (in module moe.easy_interface.simple_endpoint)

gp_next_points_constant_liar_view() (moe.views.rest.gp_next_points_constant_liar.GpNextPointsConstantLiar method) gp_next_points_epi_view() (moe.views.rest.gp_next_points_epi.GpNextPointsEpi method) gp_next_points_kriging_view() (moe.views.rest.gp_next_points_kriging.GpNextPointsKriging method) gp_plot_page() (in module moe.views.frontend) gp_test_environment_input (moe.tests.optimal_learning.python.cpp_wrappers.expected_improvement_test.TestExpectedImprovement attribute) (moe.tests.optimal_learning.python.cpp_wrappers.log_likelihood_test.TestLogLikelihood attribute) (moe.tests.optimal_learning.python.gaussian_process_test_case.GaussianProcessTestCase attribute) (moe.tests.optimal_learning.python.python_version.expected_improvement_test.TestExpectedImprovement attribute) (moe.tests.optimal_learning.python.python_version.log_likelihood_test.TestGaussianProcessLogMarginalLikelihood attribute) gp_var_diag_view() (moe.views.rest.gp_mean_var.GpVarDiagView method) gp_var_view() (moe.views.rest.gp_mean_var.GpVarView method) GpEiRequest (class in moe.views.gp_hyperparameter_update) (class in moe.views.schemas.rest.gp_ei) GpEiResponse (class in moe.views.schemas.rest.gp_ei) GpEiView (class in moe.views.rest.gp_ei) GpEndpointResponse (class in moe.views.schemas.rest.gp_mean_var) GpHistoricalInfo (class in moe.views.schemas.base_schemas) GpHyperOptRequest (class in moe.views.schemas.rest.gp_hyper_opt) GpHyperOptResponse (class in moe.views.schemas.rest.gp_hyper_opt) GpHyperOptStatus (class in moe.views.schemas.rest.gp_hyper_opt) GpHyperOptView (class in moe.views.rest.gp_hyper_opt) GpMeanMixinResponse (class in moe.views.schemas.rest.gp_mean_var) GpMeanResponse (class in moe.views.schemas.rest.gp_mean_var) GpMeanVarBaseView (class in moe.views.rest.gp_mean_var) GpMeanVarDiagResponse (class in moe.views.schemas.rest.gp_mean_var) GpMeanVarDiagView (class in moe.views.rest.gp_mean_var) GpMeanVarRequest (class in moe.views.schemas.rest.gp_mean_var) GpMeanVarResponse (class in moe.views.schemas.rest.gp_mean_var) GpMeanVarView (class in moe.views.rest.gp_mean_var) GpMeanView (class in moe.views.rest.gp_mean_var) GpNextPointsConstantLiar (class in moe.views.rest.gp_next_points_constant_liar) GpNextPointsConstantLiarRequest (class in moe.views.schemas.rest.gp_next_points_constant_liar) GpNextPointsEpi (class in moe.views.rest.gp_next_points_epi) GpNextPointsKriging (class in moe.views.rest.gp_next_points_kriging) GpNextPointsKrigingRequest (class in moe.views.schemas.rest.gp_next_points_kriging) GpNextPointsPrettyView (class in moe.views.gp_next_points_pretty_view) GpNextPointsRequest (class in moe.views.schemas.gp_next_points_pretty_view) GpNextPointsResponse (class in moe.views.schemas.gp_next_points_pretty_view) GpNextPointsStatus (class in moe.views.schemas.gp_next_points_pretty_view) GpPrettyView (class in moe.views.gp_pretty_view) GpVarDiagMixinResponse (class in moe.views.schemas.rest.gp_mean_var) GpVarDiagResponse (class in moe.views.schemas.rest.gp_mean_var) GpVarDiagView (class in moe.views.rest.gp_mean_var) GpVarMixinResponse (class in moe.views.schemas.rest.gp_mean_var) GpVarResponse (class in moe.views.schemas.rest.gp_mean_var) GpVarView (class in moe.views.rest.gp_mean_var) grad_covariance() (moe.optimal_learning.python.cpp_wrappers.covariance.SquareExponential method) (moe.optimal_learning.python.interfaces.covariance_interface.CovarianceInterface method) (moe.optimal_learning.python.python_version.covariance.SquareExponential method) GradientDescentOptimizer (class in moe.optimal_learning.python.cpp_wrappers.optimization) (class in moe.optimal_learning.python.python_version.optimization) GradientDescentParameters (class in moe.optimal_learning.python.cpp_wrappers.optimization) (class in moe.optimal_learning.python.python_version.optimization) GradientDescentParametersSchema (class in moe.views.schemas.base_schemas)

H

historical_infos_to_test (moe.tests.bandit.bandit_test_case.BanditTestCase attribute) HistoricalData (class in moe.bandit.data_containers) (class in moe.optimal_learning.python.data_containers) hyperparameter_grad_covariance() (moe.optimal_learning.python.cpp_wrappers.covariance.SquareExponential method) (moe.optimal_learning.python.interfaces.covariance_interface.CovarianceInterface method) (moe.optimal_learning.python.python_version.covariance.SquareExponential method)

hyperparameter_hessian_covariance() (moe.optimal_learning.python.cpp_wrappers.covariance.SquareExponential method) (moe.optimal_learning.python.interfaces.covariance_interface.CovarianceInterface method) (moe.optimal_learning.python.python_version.covariance.SquareExponential method) hyperparameters (moe.optimal_learning.python.cpp_wrappers.covariance.SquareExponential attribute) (moe.optimal_learning.python.cpp_wrappers.log_likelihood.GaussianProcessLogLikelihood attribute) (moe.optimal_learning.python.interfaces.covariance_interface.CovarianceInterface attribute) (moe.optimal_learning.python.interfaces.log_likelihood_interface.GaussianProcessLogLikelihoodInterface attribute) (moe.optimal_learning.python.python_version.covariance.SquareExponential attribute) (moe.optimal_learning.python.python_version.log_likelihood.GaussianProcessLogMarginalLikelihood attribute)

I

index_page() (in module moe.views.frontend) is_empty() (moe.optimal_learning.python.geometry_utils.ClosedInterval method)

is_inside() (moe.optimal_learning.python.geometry_utils.ClosedInterval method)

J

json_payload() (moe.bandit.data_containers.HistoricalData method) (moe.bandit.data_containers.SampleArm method) (moe.optimal_learning.python.data_containers.HistoricalData method) (moe.optimal_learning.python.data_containers.SamplePoint method)

K

kriging_believer_expected_improvement_optimization() (in module moe.optimal_learning.python.cpp_wrappers.expected_improvement)

L

LBFGSBOptimizer (class in moe.optimal_learning.python.python_version.optimization) LBFGSBParameters (class in moe.optimal_learning.python.python_version.optimization) LBFGSBParametersSchema (class in moe.views.schemas.base_schemas) length (moe.optimal_learning.python.geometry_utils.ClosedInterval attribute) length_scale (moe.optimal_learning.python.constant.GaussianProcessParameters attribute) LIKELIHOOD_TYPES (in module moe.optimal_learning.python.constant) ListOfExpectedImprovements (class in moe.views.schemas.base_schemas) ListOfFloats (class in moe.views.schemas.base_schemas)

ListOfPointsInDomain (class in moe.views.schemas.base_schemas) ListOfPositiveFloats (class in moe.views.schemas.base_schemas) LOCAL_OPTIMAL_PARAMETER (in module moe_examples.blog_post_example_ab_testing) log_likelihood_class (moe.optimal_learning.python.linkers.LogLikelihoodMethod attribute) log_likelihood_type (moe.optimal_learning.python.linkers.LogLikelihoodMethod attribute) LogLikelihoodMethod (class in moe.optimal_learning.python.linkers) loss (moe.bandit.data_containers.SampleArm attribute)

M

main() (in module moe) MAJOR (in module moe) make_default_hyperparameters() (moe.optimal_learning.python.cpp_wrappers.covariance.SquareExponential static method) make_params_from_bandit_historical_info() (moe.tests.views.utils_test.TestUtils method) MatrixOfFloats (class in moe.views.schemas.base_schemas) MAX_ALLOWED_NUM_THREADS (in module moe.optimal_learning.python.constant) MAX_BERNOULLI_RANDOM_VARIABLE_VARIANCE (in module moe.bandit.constant) max_func_evals (moe.tests.optimal_learning.python.python_version.expected_improvement_test.TestExpectedImprovement attribute) max_metric_correc (moe.tests.optimal_learning.python.python_version.expected_improvement_test.TestExpectedImprovement attribute) MINIMUM_STD_DEV_GRAD_CHOLESKY (in module moe.optimal_learning.python.python_version.gaussian_process) MINIMUM_VARIANCE_EI (in module moe.optimal_learning.python.python_version.expected_improvement) MINIMUM_VARIANCE_GRAD_EI (in module moe.optimal_learning.python.python_version.expected_improvement) MINOR (in module moe) moe (module) moe.bandit (module) moe.bandit.bandit_interface (module) moe.bandit.bla (module) moe.bandit.bla.bla (module) moe.bandit.constant (module) moe.bandit.data_containers (module) moe.bandit.epsilon (module) moe.bandit.epsilon.epsilon_first (module) moe.bandit.epsilon.epsilon_greedy (module) moe.bandit.epsilon.epsilon_interface (module) moe.bandit.linkers (module) moe.bandit.ucb (module) moe.bandit.ucb.ucb1 (module) moe.bandit.ucb.ucb1_tuned (module) moe.bandit.ucb.ucb_interface (module) moe.bandit.utils (module) moe.build (module) moe.easy_interface (module) moe.easy_interface.bandit_simple_endpoint (module) moe.easy_interface.experiment (module) moe.easy_interface.simple_endpoint (module) moe.optimal_learning (module) moe.optimal_learning.cpp (module) moe.optimal_learning.python (module) moe.optimal_learning.python.comparison (module) moe.optimal_learning.python.constant (module) moe.optimal_learning.python.cpp_wrappers (module) moe.optimal_learning.python.cpp_wrappers.covariance (module) moe.optimal_learning.python.cpp_wrappers.cpp_utils (module) moe.optimal_learning.python.cpp_wrappers.domain (module) moe.optimal_learning.python.cpp_wrappers.expected_improvement (module) moe.optimal_learning.python.cpp_wrappers.gaussian_process (module) moe.optimal_learning.python.cpp_wrappers.log_likelihood (module) moe.optimal_learning.python.cpp_wrappers.optimization (module) moe.optimal_learning.python.data_containers (module) moe.optimal_learning.python.geometry_utils (module) moe.optimal_learning.python.interfaces (module) moe.optimal_learning.python.interfaces.covariance_interface (module) moe.optimal_learning.python.interfaces.domain_interface (module) moe.optimal_learning.python.interfaces.expected_improvement_interface (module) moe.optimal_learning.python.interfaces.gaussian_process_interface (module) moe.optimal_learning.python.interfaces.log_likelihood_interface (module) moe.optimal_learning.python.interfaces.optimization_interface (module) moe.optimal_learning.python.linkers (module) moe.optimal_learning.python.python_version (module) moe.optimal_learning.python.python_version.covariance (module) moe.optimal_learning.python.python_version.domain (module) moe.optimal_learning.python.python_version.expected_improvement (module) moe.optimal_learning.python.python_version.gaussian_process (module) moe.optimal_learning.python.python_version.log_likelihood (module) moe.optimal_learning.python.python_version.optimization (module) moe.optimal_learning.python.python_version.python_utils (module) moe.optimal_learning.python.repeated_domain (module) moe.optimal_learning.python.timing (module) moe.resources (module) moe.tests (module) moe.tests.bandit (module) moe.tests.bandit.bandit_interface_test (module) moe.tests.bandit.bandit_test_case (module) moe.tests.bandit.bla (module) moe.tests.bandit.bla.bla_test (module) moe.tests.bandit.data_containers_test (module) moe.tests.bandit.epsilon (module) moe.tests.bandit.epsilon.epsilon_first_test (module) moe.tests.bandit.epsilon.epsilon_greedy_test (module) moe.tests.bandit.epsilon.epsilon_test (module) moe.tests.bandit.epsilon.epsilon_test_case (module) moe.tests.bandit.linkers_test (module) moe.tests.bandit.ucb (module) moe.tests.bandit.ucb.ucb1_test (module) moe.tests.bandit.ucb.ucb1_tuned_test (module) moe.tests.bandit.ucb.ucb_test_case (module) moe.tests.bandit.utils_test (module) moe.tests.optimal_learning (module) moe.tests.optimal_learning.python (module) moe.tests.optimal_learning.python.comparison_test (module)

moe.tests.optimal_learning.python.cpp_unit_tests (module) moe.tests.optimal_learning.python.cpp_unit_tests.cpp_unit_test_wrapper_test (module) moe.tests.optimal_learning.python.cpp_wrappers (module) moe.tests.optimal_learning.python.cpp_wrappers.exception_test (module) moe.tests.optimal_learning.python.cpp_wrappers.expected_improvement_test (module) moe.tests.optimal_learning.python.cpp_wrappers.gaussian_process_test (module) moe.tests.optimal_learning.python.cpp_wrappers.log_likelihood_test (module) moe.tests.optimal_learning.python.cpp_wrappers.optimization_test (module) moe.tests.optimal_learning.python.gaussian_process_test_case (module) moe.tests.optimal_learning.python.gaussian_process_test_utils (module) moe.tests.optimal_learning.python.geometry_utils_test (module) moe.tests.optimal_learning.python.linkers_test (module) moe.tests.optimal_learning.python.optimal_learning_test_case (module) moe.tests.optimal_learning.python.python_version (module) moe.tests.optimal_learning.python.python_version.covariance_test (module) moe.tests.optimal_learning.python.python_version.expected_improvement_test (module) moe.tests.optimal_learning.python.python_version.log_likelihood_test (module) moe.tests.optimal_learning.python.python_version.optimization_test (module) moe.tests.views (module) moe.tests.views.exceptions_test (module) moe.tests.views.rest (module) moe.tests.views.rest.bandit_bla_test (module) moe.tests.views.rest.bandit_epsilon_test (module) moe.tests.views.rest.bandit_test (module) moe.tests.views.rest.bandit_ucb_test (module) moe.tests.views.rest.gp_ei_test (module) moe.tests.views.rest.gp_hyper_opt_test (module) moe.tests.views.rest.gp_mean_var_test (module) moe.tests.views.rest.gp_next_points_test (module) moe.tests.views.rest_test_case (module) moe.tests.views.utils_test (module) moe.views (module) moe.views.bandit_pretty_view (module) moe.views.constant (module) moe.views.exceptions (module) moe.views.frontend (module) moe.views.gp_hyperparameter_update (module) moe.views.gp_next_points_pretty_view (module) moe.views.gp_pretty_view (module) moe.views.optimizable_gp_pretty_view (module) moe.views.pretty_view (module) moe.views.rest (module) moe.views.rest.bandit_bla (module) moe.views.rest.bandit_epsilon (module) moe.views.rest.bandit_ucb (module) moe.views.rest.gp_ei (module) moe.views.rest.gp_hyper_opt (module) moe.views.rest.gp_mean_var (module) moe.views.rest.gp_next_points_constant_liar (module) moe.views.rest.gp_next_points_epi (module) moe.views.rest.gp_next_points_kriging (module) moe.views.schemas (module) moe.views.schemas.bandit_pretty_view (module) moe.views.schemas.base_schemas (module) moe.views.schemas.gp_next_points_pretty_view (module) moe.views.schemas.rest (module) moe.views.schemas.rest.bandit_bla (module) moe.views.schemas.rest.bandit_epsilon (module) moe.views.schemas.rest.bandit_ucb (module) moe.views.schemas.rest.gp_ei (module) moe.views.schemas.rest.gp_hyper_opt (module) moe.views.schemas.rest.gp_mean_var (module) moe.views.schemas.rest.gp_next_points_constant_liar (module) moe.views.schemas.rest.gp_next_points_kriging (module) moe.views.utils (module) moe_examples (module) moe_examples.bandit_example (module) moe_examples.blog_post_example_ab_testing (module) moe_examples.combined_example (module) moe_examples.hyper_opt_of_gp_from_historical_data (module) moe_examples.mean_and_var_of_gp_from_historic_data (module) moe_examples.next_point_via_simple_endpoint (module) moe_examples.tests (module) moe_examples.tests.bandit_example_test (module) moe_examples.tests.combined_example_test (module) moe_examples.tests.hyper_opt_of_gp_from_historical_data_test (module) moe_examples.tests.mean_and_var_of_gp_from_historic_data_test (module) moe_examples.tests.moe_example_test_case (module) moe_examples.tests.next_point_via_simple_endpoint_test (module) moe_experiment_from_sample_arms() (in module moe_examples.blog_post_example_ab_testing) MoeExampleTestCase (class in moe_examples.tests.moe_example_test_case) MoeRestLogLine (class in moe.views.constant) MoeRoute (class in moe.views.constant) multistart_expected_improvement_optimization() (in module moe.optimal_learning.python.cpp_wrappers.expected_improvement) (in module moe.optimal_learning.python.python_version.expected_improvement) multistart_hyperparameter_optimization() (in module moe.optimal_learning.python.cpp_wrappers.log_likelihood) (in module moe.optimal_learning.python.python_version.log_likelihood) multistart_optimize() (in module moe.optimal_learning.python.python_version.optimization) multistarted_optimizer_test() (moe.tests.optimal_learning.python.python_version.optimization_test.TestOptimizer method) MultistartOptimizer (class in moe.optimal_learning.python.python_version.optimization) MVNDSTParameters (class in moe.optimal_learning.python.python_version.expected_improvement) MVNDSTParametersSchema (class in moe.views.schemas.base_schemas)

N

NewtonOptimizer (class in moe.optimal_learning.python.cpp_wrappers.optimization) NewtonParameters (class in moe.optimal_learning.python.cpp_wrappers.optimization) (class in moe.optimal_learning.python.python_version.optimization) NewtonParametersSchema (class in moe.views.schemas.base_schemas) NEXT_POINTS_OPTIMIZER_METHOD_NAMES (in module moe.views.constant) noise_variance_base (moe.tests.optimal_learning.python.cpp_wrappers.expected_improvement_test.TestExpectedImprovement attribute) (moe.tests.optimal_learning.python.cpp_wrappers.log_likelihood_test.TestLogLikelihood attribute) (moe.tests.optimal_learning.python.gaussian_process_test_case.GaussianProcessTestCase attribute) (moe.tests.optimal_learning.python.python_version.expected_improvement_test.TestExpectedImprovement attribute) (moe.tests.optimal_learning.python.python_version.log_likelihood_test.TestGaussianProcessLogMarginalLikelihood attribute) NotComparableObject (class in moe.tests.optimal_learning.python.comparison_test) NullOptimizer (class in moe.optimal_learning.python.cpp_wrappers.optimization) (class in moe.optimal_learning.python.python_version.optimization) NullParameters (class in moe.optimal_learning.python.cpp_wrappers.optimization) (class in moe.optimal_learning.python.python_version.optimization) NullParametersSchema (class in moe.views.schemas.base_schemas)

num_arms (moe.bandit.data_containers.HistoricalData attribute) num_being_sampled (moe.optimal_learning.python.cpp_wrappers.expected_improvement.ExpectedImprovement attribute) (moe.optimal_learning.python.interfaces.expected_improvement_interface.ExpectedImprovementInterface attribute) (moe.optimal_learning.python.python_version.expected_improvement.ExpectedImprovement attribute) num_hyperparameters (moe.optimal_learning.python.cpp_wrappers.covariance.SquareExponential attribute) (moe.optimal_learning.python.cpp_wrappers.log_likelihood.GaussianProcessLogLikelihood attribute) (moe.optimal_learning.python.interfaces.covariance_interface.CovarianceInterface attribute) (moe.optimal_learning.python.interfaces.log_likelihood_interface.GaussianProcessLogLikelihoodInterface attribute) (moe.optimal_learning.python.python_version.covariance.SquareExponential attribute) (moe.optimal_learning.python.python_version.log_likelihood.GaussianProcessLogMarginalLikelihood attribute) (moe.tests.optimal_learning.python.cpp_wrappers.expected_improvement_test.TestExpectedImprovement attribute) (moe.tests.optimal_learning.python.cpp_wrappers.log_likelihood_test.TestLogLikelihood attribute) (moe.tests.optimal_learning.python.gaussian_process_test_case.GaussianProcessTestCase attribute) (moe.tests.optimal_learning.python.python_version.expected_improvement_test.TestExpectedImprovement attribute) (moe.tests.optimal_learning.python.python_version.log_likelihood_test.TestGaussianProcessLogMarginalLikelihood attribute) num_mc_iterations (moe.tests.optimal_learning.python.python_version.expected_improvement_test.TestExpectedImprovement attribute) num_sampled (moe.optimal_learning.python.cpp_wrappers.gaussian_process.GaussianProcess attribute) (moe.optimal_learning.python.data_containers.HistoricalData attribute) (moe.optimal_learning.python.interfaces.gaussian_process_interface.GaussianProcessInterface attribute) (moe.optimal_learning.python.python_version.gaussian_process.GaussianProcess attribute) (moe.tests.optimal_learning.python.gaussian_process_test_case.GaussianProcessTestEnvironmentInput attribute) num_sampled_list (moe.tests.optimal_learning.python.cpp_wrappers.expected_improvement_test.TestExpectedImprovement attribute) (moe.tests.optimal_learning.python.cpp_wrappers.log_likelihood_test.TestLogLikelihood attribute) (moe.tests.optimal_learning.python.gaussian_process_test_case.GaussianProcessTestCase attribute) (moe.tests.optimal_learning.python.python_version.expected_improvement_test.TestExpectedImprovement attribute) (moe.tests.optimal_learning.python.python_version.log_likelihood_test.TestGaussianProcessLogMarginalLikelihood attribute) (moe.tests.views.rest.gp_mean_var_test.TestGpMeanVarView attribute) (moe.tests.views.rest.gp_next_points_test.TestGpNextPointsViews attribute) num_to_sample (moe.optimal_learning.python.cpp_wrappers.expected_improvement.ExpectedImprovement attribute) (moe.optimal_learning.python.interfaces.expected_improvement_interface.ExpectedImprovementInterface attribute) (moe.optimal_learning.python.python_version.expected_improvement.ExpectedImprovement attribute) num_to_sample_list (moe.tests.optimal_learning.python.gaussian_process_test_case.GaussianProcessTestCase attribute) NUMBER_OF_ACTIVE_COHORTS (in module moe_examples.blog_post_example_ab_testing)

O

objective_function() (in module moe_examples.blog_post_example_ab_testing) one_arm_test_case (moe.tests.bandit.bandit_test_case.BanditTestCase attribute) OptimalLearningTestCase (class in moe.tests.optimal_learning.python.optimal_learning_test_case) OptimizableGpPrettyView (class in moe.views.optimizable_gp_pretty_view) OptimizableInterface (class in moe.optimal_learning.python.interfaces.optimization_interface) optimization_parameters_type (moe.optimal_learning.python.python_version.optimization.COBYLAOptimizer attribute) (moe.optimal_learning.python.python_version.optimization.LBFGSBOptimizer attribute) optimize() (moe.optimal_learning.python.cpp_wrappers.optimization.GradientDescentOptimizer method) (moe.optimal_learning.python.cpp_wrappers.optimization.NewtonOptimizer method) (moe.optimal_learning.python.cpp_wrappers.optimization.NullOptimizer method) (moe.optimal_learning.python.interfaces.optimization_interface.OptimizerInterface method) (moe.optimal_learning.python.python_version.optimization.GradientDescentOptimizer method) (moe.optimal_learning.python.python_version.optimization.MultistartOptimizer method) (moe.optimal_learning.python.python_version.optimization.NullOptimizer method) optimizer_test() (moe.tests.optimal_learning.python.python_version.optimization_test.TestOptimizer method) optimizer_type (moe.optimal_learning.python.linkers.OptimizerMethod attribute)

OPTIMIZER_TYPE_AND_OBJECTIVE_TO_DEFAULT_PARAMETERS (in module moe.optimal_learning.python.constant) OPTIMIZER_TYPES (in module moe.optimal_learning.python.constant) OPTIMIZER_TYPES_TO_SCHEMA_CLASSES (in module moe.views.schemas.base_schemas) OptimizerInfo (class in moe.views.schemas.base_schemas) OptimizerInterface (class in moe.optimal_learning.python.interfaces.optimization_interface) OptimizerMethod (class in moe.optimal_learning.python.linkers) optimum_point (moe.tests.optimal_learning.python.python_version.optimization_test.QuadraticFunction attribute) optimum_value (moe.tests.optimal_learning.python.python_version.optimization_test.QuadraticFunction attribute)

P

PATCH (in module moe) pgtol (moe.tests.optimal_learning.python.python_version.expected_improvement_test.TestExpectedImprovement attribute) plot_sample_arms() (in module moe_examples.blog_post_example_ab_testing) plot_system_ctr() (in module moe_examples.blog_post_example_ab_testing) points_sampled (moe.optimal_learning.python.data_containers.HistoricalData attribute) points_sampled_noise_variance (moe.optimal_learning.python.data_containers.HistoricalData attribute) points_sampled_value (moe.optimal_learning.python.data_containers.HistoricalData attribute) PointsSampled (class in moe.views.schemas.base_schemas) PositiveFloat (class in moe.views.schemas.base_schemas) precompute_gaussian_process_data (moe.tests.optimal_learning.python.cpp_wrappers.expected_improvement_test.TestExpectedImprovement attribute) (moe.tests.optimal_learning.python.cpp_wrappers.gaussian_process_test.TestGaussianProcess attribute) (moe.tests.optimal_learning.python.cpp_wrappers.log_likelihood_test.TestLogLikelihood attribute) (moe.tests.optimal_learning.python.gaussian_process_test_case.GaussianProcessTestCase attribute) (moe.tests.optimal_learning.python.python_version.expected_improvement_test.TestExpectedImprovement attribute) (moe.tests.optimal_learning.python.python_version.log_likelihood_test.TestGaussianProcessLogMarginalLikelihood attribute) (moe.tests.views.rest.gp_ei_test.TestGpEiView attribute) (moe.tests.views.rest.gp_hyper_opt_test.TestGpHyperOptViews attribute) (moe.tests.views.rest.gp_mean_var_test.TestGpMeanVarView attribute) (moe.tests.views.rest.gp_next_points_test.TestGpNextPointsViews attribute)

pretty_response() (moe.views.pretty_view.PrettyView method) pretty_view() (moe.views.rest.bandit_bla.BanditBLAView method) (moe.views.rest.bandit_epsilon.BanditEpsilonView method) (moe.views.rest.bandit_ucb.BanditUCBView method) (moe.views.rest.gp_ei.GpEiView method) (moe.views.rest.gp_hyper_opt.GpHyperOptView method) (moe.views.rest.gp_mean_var.GpMeanVarDiagView method) (moe.views.rest.gp_mean_var.GpMeanVarView method) (moe.views.rest.gp_mean_var.GpMeanView method) (moe.views.rest.gp_mean_var.GpVarDiagView method) (moe.views.rest.gp_mean_var.GpVarView method) (moe.views.rest.gp_next_points_constant_liar.GpNextPointsConstantLiar method) (moe.views.rest.gp_next_points_epi.GpNextPointsEpi method) (moe.views.rest.gp_next_points_kriging.GpNextPointsKriging method) PrettyView (class in moe.views.pretty_view) problem_size (moe.optimal_learning.python.cpp_wrappers.expected_improvement.ExpectedImprovement attribute) (moe.optimal_learning.python.cpp_wrappers.log_likelihood.GaussianProcessLogLikelihood attribute) (moe.optimal_learning.python.interfaces.optimization_interface.OptimizableInterface attribute) (moe.optimal_learning.python.python_version.expected_improvement.ExpectedImprovement attribute) (moe.optimal_learning.python.python_version.log_likelihood.GaussianProcessLogMarginalLikelihood attribute) (moe.tests.optimal_learning.python.python_version.optimization_test.QuadraticFunction attribute) prune_arms() (in module moe_examples.blog_post_example_ab_testing) pyramid_error_view() (in module moe.views.exceptions) python_covariance_class (moe.optimal_learning.python.linkers.CovarianceLinks attribute) python_domain_class (moe.optimal_learning.python.linkers.DomainLinks attribute) python_optimizer_class (moe.optimal_learning.python.linkers.OptimizerMethod attribute) python_parameters_class (moe.optimal_learning.python.linkers.OptimizerMethod attribute)

Q

QuadraticFunction (class in moe.tests.optimal_learning.python.python_version.optimization_test)

R

RepeatedDomain (class in moe.optimal_learning.python.repeated_domain) request_schema (moe.views.gp_next_points_pretty_view.GpNextPointsPrettyView attribute) (moe.views.pretty_view.PrettyView attribute) (moe.views.rest.bandit_bla.BanditBLAView attribute) (moe.views.rest.bandit_epsilon.BanditEpsilonView attribute) (moe.views.rest.bandit_ucb.BanditUCBView attribute) (moe.views.rest.gp_ei.GpEiView attribute) (moe.views.rest.gp_hyper_opt.GpHyperOptView attribute) (moe.views.rest.gp_mean_var.GpMeanVarBaseView attribute) (moe.views.rest.gp_next_points_constant_liar.GpNextPointsConstantLiar attribute) (moe.views.rest.gp_next_points_kriging.GpNextPointsKriging attribute) response_schema (moe.views.gp_next_points_pretty_view.GpNextPointsPrettyView attribute) (moe.views.pretty_view.PrettyView attribute) (moe.views.rest.bandit_bla.BanditBLAView attribute) (moe.views.rest.bandit_epsilon.BanditEpsilonView attribute) (moe.views.rest.bandit_ucb.BanditUCBView attribute) (moe.views.rest.gp_ei.GpEiView attribute) (moe.views.rest.gp_hyper_opt.GpHyperOptView attribute) (moe.views.rest.gp_mean_var.GpMeanVarDiagView attribute) (moe.views.rest.gp_mean_var.GpMeanVarView attribute) (moe.views.rest.gp_mean_var.GpMeanView attribute) (moe.views.rest.gp_mean_var.GpVarDiagView attribute) (moe.views.rest.gp_mean_var.GpVarView attribute) RestTestCase (class in moe.tests.views.rest_test_case)

rng_seed (moe.tests.optimal_learning.python.python_version.expected_improvement_test.TestExpectedImprovement attribute) Root (class in moe.resources) run_example() (in module moe_examples.bandit_example) (in module moe_examples.blog_post_example_ab_testing) (in module moe_examples.combined_example) (in module moe_examples.hyper_opt_of_gp_from_historical_data) (in module moe_examples.mean_and_var_of_gp_from_historic_data) (in module moe_examples.next_point_via_simple_endpoint) run_time_consuming_experiment() (in module moe_examples.blog_post_example_ab_testing)

S

sample_point_from_gp() (moe.optimal_learning.python.cpp_wrappers.gaussian_process.GaussianProcess method) (moe.optimal_learning.python.interfaces.gaussian_process_interface.GaussianProcessInterface method) (moe.optimal_learning.python.python_version.gaussian_process.GaussianProcess method) SampleArm (class in moe.bandit.data_containers) SamplePoint (class in moe.optimal_learning.python.data_containers) schema_type (moe.views.schemas.bandit_pretty_view.ArmAllocations attribute) (moe.views.schemas.bandit_pretty_view.ArmsSampled attribute) (moe.views.schemas.base_schemas.PositiveFloat attribute) schema_type() (moe.views.schemas.base_schemas.StrictMappingSchema method) scipy_kwargs() (moe.optimal_learning.python.python_version.optimization.COBYLAParameters method) (moe.optimal_learning.python.python_version.optimization.LBFGSBParameters method) set_current_point() (moe.optimal_learning.python.cpp_wrappers.expected_improvement.ExpectedImprovement method) (moe.optimal_learning.python.interfaces.optimization_interface.OptimizableInterface method) (moe.optimal_learning.python.python_version.expected_improvement.ExpectedImprovement method) (moe.tests.optimal_learning.python.python_version.optimization_test.QuadraticFunction method) set_hyperparameters() (moe.optimal_learning.python.cpp_wrappers.covariance.SquareExponential method) (moe.optimal_learning.python.cpp_wrappers.log_likelihood.GaussianProcessLogLikelihood method) (moe.optimal_learning.python.interfaces.covariance_interface.CovarianceInterface method) (moe.optimal_learning.python.interfaces.log_likelihood_interface.GaussianProcessLogLikelihoodInterface method) (moe.optimal_learning.python.python_version.covariance.SquareExponential method) (moe.optimal_learning.python.python_version.log_likelihood.GaussianProcessLogMarginalLikelihood method) signal_variance (moe.optimal_learning.python.constant.GaussianProcessParameters attribute)

SimplexIntersectTensorProductDomain (class in moe.optimal_learning.python.cpp_wrappers.domain) SinglePoint (class in moe.views.schemas.base_schemas) some_function() (moe.tests.optimal_learning.python.comparison_test.ComparableTestObject method) some_property (moe.tests.optimal_learning.python.comparison_test.ComparableTestObject attribute) SquareExponential (class in moe.optimal_learning.python.cpp_wrappers.covariance) (class in moe.optimal_learning.python.python_version.covariance) STATUS_QUO_PARAMETER (in module moe_examples.blog_post_example_ab_testing) StrictMappingSchema (class in moe.views.schemas.base_schemas) subtype (moe.bandit.linkers.BanditMethod attribute)

T

TensorProductDomain (class in moe.optimal_learning.python.cpp_wrappers.domain) (class in moe.optimal_learning.python.python_version.domain) test_1d_analytic_ei_edge_cases() (moe.tests.optimal_learning.python.python_version.expected_improvement_test.TestExpectedImprovement method) test_all_constant_liar_methods_function() (moe.tests.views.rest.gp_next_points_test.TestGpNextPointsViews method) test_badly_formed_json_payload_invalid() (moe.tests.views.exceptions_test.TestRestGaussianProcessWithExceptions method) test_bandit_links_have_all_bandit_endpoints() (moe.tests.bandit.linkers_test.TestLinkers method) test_bfgs_multistarted_optimizer() (moe.tests.optimal_learning.python.python_version.optimization_test.TestOptimizer method) test_bfgs_optimizer() (moe.tests.optimal_learning.python.python_version.optimization_test.TestOptimizer method) test_cobyla_multistarted_optimizer() (moe.tests.optimal_learning.python.python_version.optimization_test.TestOptimizer method) test_cobyla_optimizer() (moe.tests.optimal_learning.python.python_version.optimization_test.TestOptimizer method) test_covariance_links_have_all_covariance_types() (moe.tests.optimal_learning.python.linkers_test.TestLinkers method) test_domain_links_have_all_domain_types() (moe.tests.optimal_learning.python.linkers_test.TestLinkers method) test_empty_arm_invalid() (moe.tests.bandit.bandit_interface_test.TestBanditInterface method) (moe.tests.bandit.epsilon.epsilon_test.TestEpsilon method) test_empty_json_payload_invalid() (moe.tests.views.exceptions_test.TestRestGaussianProcessWithExceptions method) test_epsilon_first_hyperparameters_passed_through() (moe.tests.views.rest.bandit_epsilon_test.TestBanditEpsilonViews method) test_epsilon_greedy_hyperparameters_passed_through() (moe.tests.views.rest.bandit_epsilon_test.TestBanditEpsilonViews method) test_epsilon_links_have_all_epsilon_subtypes() (moe.tests.bandit.linkers_test.TestLinkers method) test_eq() (moe.tests.optimal_learning.python.comparison_test.TestEqualityComparisonMixin method) test_evaluate_ei_at_points() (moe.tests.optimal_learning.python.python_version.expected_improvement_test.TestExpectedImprovement method) test_evaluate_log_likelihood_at_points() (moe.tests.optimal_learning.python.python_version.log_likelihood_test.TestGaussianProcessLogMarginalLikelihood method) test_example_runs() (moe_examples.tests.hyper_opt_of_gp_from_historical_data_test.TestHyperOptOfGpFromHistoricalData method) (moe_examples.tests.mean_and_var_of_gp_from_historic_data_test.TestMeanAndVarOfGpFromHistoricData method) (moe_examples.tests.next_point_via_simple_endpoint_test.TestNextPointsViaSimpleEndpoint method) test_example_runs_with_non_default_kwargs() (moe_examples.tests.bandit_example_test.TestBanditExample method) test_example_runs_with_non_default_optimizer_kwargs() (moe_examples.tests.combined_example_test.TestCombinedExample method) test_exception_class_hierarchy() (moe.tests.optimal_learning.python.cpp_wrappers.exception_test.TestExceptionStructure method) test_exception_thrown_from_cpp() (moe.tests.optimal_learning.python.cpp_wrappers.exception_test.TestExceptionStructure method) test_expected_improvement_and_gradient() (moe.tests.optimal_learning.python.python_version.expected_improvement_test.TestExpectedImprovement method) test_get_averaging_range() (moe.tests.optimal_learning.python.python_version.optimization_test.TestOptimizer method) test_get_equal_arm_allocations_empty_arm_invalid() (moe.tests.bandit.utils_test.TestUtils method) test_get_equal_arm_allocations_no_winner() (moe.tests.bandit.utils_test.TestUtils method) test_get_equal_arm_allocations_one_winner() (moe.tests.bandit.utils_test.TestUtils method) test_get_equal_arm_allocations_two_winners() (moe.tests.bandit.utils_test.TestUtils method) test_get_winning_arm_names_from_payoff_arm_name_list_empty_list_invalid() (moe.tests.bandit.utils_test.TestUtils method) test_get_winning_arm_names_from_payoff_arm_name_list_one_winner() (moe.tests.bandit.utils_test.TestUtils method) test_get_winning_arm_names_from_payoff_arm_name_list_two_winners() (moe.tests.bandit.utils_test.TestUtils method) test_gp_add_sampled_points_singular_covariance_matrix() (moe.tests.optimal_learning.python.cpp_wrappers.gaussian_process_test.TestGaussianProcess method) test_gp_construction_singular_covariance_matrix() (moe.tests.optimal_learning.python.cpp_wrappers.gaussian_process_test.TestGaussianProcess method) test_grad_log_likelihood_pings() (moe.tests.optimal_learning.python.python_version.log_likelihood_test.TestGaussianProcessLogMarginalLikelihood method) test_gradient_descent_multistarted_optimizer() (moe.tests.optimal_learning.python.python_version.optimization_test.TestOptimizer method) test_gradient_descent_optimizer() (moe.tests.optimal_learning.python.python_version.optimization_test.TestOptimizer method) test_gradient_descent_optimizer_constrained() (moe.tests.optimal_learning.python.python_version.optimization_test.TestOptimizer method) test_gradient_descent_optimizer_with_averaging() (moe.tests.optimal_learning.python.python_version.optimization_test.TestOptimizer method) test_gradient_descent_parameters() (moe.tests.optimal_learning.python.cpp_wrappers.optimization_test.TestOptimizerParameters method) test_grid_generation() (moe.tests.optimal_learning.python.geometry_utils_test.TestGridPointGeneration method) test_hash() (moe.tests.optimal_learning.python.comparison_test.TestEqualityComparisonMixin method) test_historical_data_append_arms() (moe.tests.bandit.data_containers_test.TestDataContainers method) test_historical_data_append_arms_with_variance_invalid() (moe.tests.bandit.data_containers_test.TestDataContainers method) test_historical_data_append_unsampled_arm() (moe.tests.bandit.data_containers_test.TestDataContainers method) test_historical_data_str() (moe.tests.bandit.data_containers_test.TestDataContainers method) test_historical_info_passed_through() (moe.tests.views.rest.bandit_bla_test.TestBanditBLAViews method) (moe.tests.views.rest.bandit_epsilon_test.TestBanditEpsilonViews method) (moe.tests.views.rest.bandit_ucb_test.TestBanditUCBViews method) test_hyperparameter_gradient_pings() (moe.tests.optimal_learning.python.python_version.covariance_test.TestSquareExponential method) test_hyperparameters_passed_through() (moe.tests.views.rest.gp_hyper_opt_test.TestGpHyperOptViews method) test_init_default() (moe.tests.bandit.epsilon.epsilon_first_test.TestEpsilonFirst method) (moe.tests.bandit.epsilon.epsilon_greedy_test.TestEpsilonGreedy method) (moe.tests.bandit.ucb.ucb1_test.TestUCB1 method) (moe.tests.bandit.ucb.ucb1_tuned_test.TestUCB1Tuned method) test_interface_returns_as_expected() (moe.tests.views.rest.bandit_bla_test.TestBanditBLAViews method) (moe.tests.views.rest.bandit_epsilon_test.TestBanditEpsilonViews method) (moe.tests.views.rest.bandit_ucb_test.TestBanditUCBViews method) test_interface_returns_same_as_cpp() (moe.tests.views.rest.gp_ei_test.TestGpEiView method) (moe.tests.views.rest.gp_hyper_opt_test.TestGpHyperOptViews method) (moe.tests.views.rest.gp_next_points_test.TestGpNextPointsViews method) test_interfaces_equivalent() (moe.tests.views.rest.gp_mean_var_test.TestGpMeanVarView method) test_invalid_hyperparameters_input() (moe.tests.views.exceptions_test.TestRestGaussianProcessWithExceptions method) test_invalid_points_sampled_input() (moe.tests.views.exceptions_test.TestRestGaussianProcessWithExceptions method) test_is_empty() (moe.tests.optimal_learning.python.geometry_utils_test.TestClosedInterval method) test_is_inside() (moe.tests.optimal_learning.python.geometry_utils_test.TestClosedInterval method) test_latin_hypercube_equally_spaced() (moe.tests.optimal_learning.python.geometry_utils_test.TestLatinHypercubeRandomPointGeneration method) test_latin_hypercube_within_domain() (moe.tests.optimal_learning.python.geometry_utils_test.TestLatinHypercubeRandomPointGeneration method) test_length() (moe.tests.optimal_learning.python.geometry_utils_test.TestClosedInterval method) test_likelihood_links_have_all_likelihood_types() (moe.tests.optimal_learning.python.linkers_test.TestLinkers method) test_make_bandit_historical_info_from_params_make_bernoulli_arms() (moe.tests.views.utils_test.TestUtils method) test_make_bandit_historical_info_from_params_variance_passed_through() (moe.tests.views.utils_test.TestUtils method) test_make_rand_point_within_domain() (moe.tests.optimal_learning.python.geometry_utils_test.TestLatinHypercubeRandomPointGeneration method) test_mean_var_interface_returns_same_as_cpp() (moe.tests.views.rest.gp_mean_var_test.TestGpMeanVarView method) test_multistart_analytic_expected_improvement_optimization() (moe.tests.optimal_learning.python.python_version.expected_improvement_test.TestExpectedImprovement method) test_multistart_hyperparameter_optimization() (moe.tests.optimal_learning.python.python_version.log_likelihood_test.TestGaussianProcessLogMarginalLikelihood method) test_multistart_monte_carlo_expected_improvement_optimization() (moe.tests.optimal_learning.python.python_version.expected_improvement_test.TestExpectedImprovement method) test_multistart_qei_expected_improvement_dfo() (moe.tests.optimal_learning.python.python_version.expected_improvement_test.TestExpectedImprovement method) test_multistarted_gradient_descent_optimizer_crippled_start() (moe.tests.optimal_learning.python.python_version.optimization_test.TestOptimizer method) test_multistarted_null_optimizer() (moe.tests.optimal_learning.python.python_version.optimization_test.TestNullOptimizer method) test_newton_parameters() (moe.tests.optimal_learning.python.cpp_wrappers.optimization_test.TestOptimizerParameters method) test_null_optimizer() (moe.tests.optimal_learning.python.python_version.optimization_test.TestNullOptimizer method) test_one_arm() (moe.tests.bandit.bandit_interface_test.TestBanditInterface method) (moe.tests.bandit.bla.bla_test.TestBLA method) (moe.tests.bandit.epsilon.epsilon_first_test.TestEpsilonFirst method) (moe.tests.bandit.epsilon.epsilon_greedy_test.TestEpsilonGreedy method) (moe.tests.bandit.ucb.ucb1_test.TestUCB1 method) (moe.tests.bandit.ucb.ucb1_tuned_test.TestUCB1Tuned method) test_optimization_links_have_all_optimizer_types() (moe.tests.optimal_learning.python.linkers_test.TestLinkers method) test_optimizer_params_passed_through() (moe.tests.views.rest.gp_hyper_opt_test.TestGpHyperOptViews method) (moe.tests.views.rest.gp_next_points_test.TestGpNextPointsViews method) test_python_and_cpp_return_same_1d_analytic_ei_and_gradient() (moe.tests.optimal_learning.python.cpp_wrappers.expected_improvement_test.TestExpectedImprovement method) test_python_and_cpp_return_same_cholesky_variance_and_gradient() (moe.tests.optimal_learning.python.cpp_wrappers.gaussian_process_test.TestGaussianProcess method)

test_python_and_cpp_return_same_log_likelihood_and_gradient() (moe.tests.optimal_learning.python.cpp_wrappers.log_likelihood_test.TestLogLikelihood method) test_python_and_cpp_return_same_mu_and_gradient() (moe.tests.optimal_learning.python.cpp_wrappers.gaussian_process_test.TestGaussianProcess method) test_python_and_cpp_return_same_variance_and_gradient() (moe.tests.optimal_learning.python.cpp_wrappers.gaussian_process_test.TestGaussianProcess method) test_qd_and_1d_return_same_analytic_ei() (moe.tests.optimal_learning.python.python_version.expected_improvement_test.TestExpectedImprovement method) test_qd_ei_with_self() (moe.tests.optimal_learning.python.python_version.expected_improvement_test.TestExpectedImprovement method) test_run_cpp_unit_tests() (moe.tests.optimal_learning.python.cpp_unit_tests.cpp_unit_test_wrapper_test.TestCppUnitTestWrapper method) test_sample_arm_add() (moe.tests.bandit.data_containers_test.TestDataContainers method) test_sample_arm_add_arm_with_variance_invalid() (moe.tests.bandit.data_containers_test.TestDataContainers method) test_sample_arm_iadd() (moe.tests.bandit.data_containers_test.TestDataContainers method) test_sample_arm_str() (moe.tests.bandit.data_containers_test.TestDataContainers method) test_sample_point_from_gp() (moe.tests.optimal_learning.python.cpp_wrappers.gaussian_process_test.TestGaussianProcess method) test_square_exponential_covariance_one_dim() (moe.tests.optimal_learning.python.python_version.covariance_test.TestSquareExponential method) test_square_exponential_covariance_three_dim() (moe.tests.optimal_learning.python.python_version.covariance_test.TestSquareExponential method) test_square_exponential_grad_covariance_three_dim() (moe.tests.optimal_learning.python.python_version.covariance_test.TestSquareExponential method) test_three_arms() (moe.tests.bandit.epsilon.epsilon_greedy_test.TestEpsilonGreedy method) test_three_arms_diferent_variance() (moe.tests.bandit.ucb.ucb1_tuned_test.TestUCB1Tuned method) test_three_arms_exploit() (moe.tests.bandit.epsilon.epsilon_first_test.TestEpsilonFirst method) test_three_arms_exploit_two_winners() (moe.tests.bandit.epsilon.epsilon_first_test.TestEpsilonFirst method) test_three_arms_explore() (moe.tests.bandit.epsilon.epsilon_first_test.TestEpsilonFirst method) test_three_arms_one_unsampled_arm() (moe.tests.bandit.ucb.ucb1_test.TestUCB1 method) (moe.tests.bandit.ucb.ucb1_tuned_test.TestUCB1Tuned method) test_three_arms_two_winners() (moe.tests.bandit.bandit_interface_test.TestBanditInterface method) (moe.tests.bandit.epsilon.epsilon_greedy_test.TestEpsilonGreedy method) (moe.tests.bandit.epsilon.epsilon_test.TestEpsilon method) (moe.tests.bandit.ucb.ucb1_test.TestUCB1 method) (moe.tests.bandit.ucb.ucb1_tuned_test.TestUCB1Tuned method) test_two_arms_epsilon_one() (moe.tests.bandit.epsilon.epsilon_first_test.TestEpsilonFirst method) (moe.tests.bandit.epsilon.epsilon_greedy_test.TestEpsilonGreedy method) test_two_arms_epsilon_zero() (moe.tests.bandit.epsilon.epsilon_first_test.TestEpsilonFirst method) (moe.tests.bandit.epsilon.epsilon_greedy_test.TestEpsilonGreedy method) test_two_arms_one_winner() (moe.tests.bandit.bandit_interface_test.TestBanditInterface method) (moe.tests.bandit.bla.bla_test.TestBLA method) test_two_unsampled_arms() (moe.tests.bandit.epsilon.epsilon_first_test.TestEpsilonFirst method) (moe.tests.bandit.epsilon.epsilon_greedy_test.TestEpsilonGreedy method) (moe.tests.bandit.epsilon.epsilon_test.TestEpsilon method) (moe.tests.bandit.ucb.ucb1_test.TestUCB1 method) (moe.tests.bandit.ucb.ucb1_tuned_test.TestUCB1Tuned method) test_ucb_links_have_all_ucb_subtypes() (moe.tests.bandit.linkers_test.TestLinkers method) TestBanditBLAViews (class in moe.tests.views.rest.bandit_bla_test) TestBanditEpsilonViews (class in moe.tests.views.rest.bandit_epsilon_test) TestBanditExample (class in moe_examples.tests.bandit_example_test) TestBanditInterface (class in moe.tests.bandit.bandit_interface_test) TestBanditUCBViews (class in moe.tests.views.rest.bandit_ucb_test) TestBanditViews (class in moe.tests.views.rest.bandit_test) TestBLA (class in moe.tests.bandit.bla.bla_test) TestClosedInterval (class in moe.tests.optimal_learning.python.geometry_utils_test) TestCombinedExample (class in moe_examples.tests.combined_example_test) TestCppUnitTestWrapper (class in moe.tests.optimal_learning.python.cpp_unit_tests.cpp_unit_test_wrapper_test) TestDataContainers (class in moe.tests.bandit.data_containers_test) TestEpsilon (class in moe.tests.bandit.epsilon.epsilon_test) TestEpsilonFirst (class in moe.tests.bandit.epsilon.epsilon_first_test) TestEpsilonGreedy (class in moe.tests.bandit.epsilon.epsilon_greedy_test) TestEqualityComparisonMixin (class in moe.tests.optimal_learning.python.comparison_test) TestExceptionStructure (class in moe.tests.optimal_learning.python.cpp_wrappers.exception_test) TestExpectedImprovement (class in moe.tests.optimal_learning.python.cpp_wrappers.expected_improvement_test) (class in moe.tests.optimal_learning.python.python_version.expected_improvement_test) TestGaussianProcess (class in moe.tests.optimal_learning.python.cpp_wrappers.gaussian_process_test) TestGaussianProcessLogMarginalLikelihood (class in moe.tests.optimal_learning.python.python_version.log_likelihood_test) TestGpEiView (class in moe.tests.views.rest.gp_ei_test) TestGpHyperOptViews (class in moe.tests.views.rest.gp_hyper_opt_test) TestGpMeanVarView (class in moe.tests.views.rest.gp_mean_var_test) TestGpNextPointsViews (class in moe.tests.views.rest.gp_next_points_test) TestGridPointGeneration (class in moe.tests.optimal_learning.python.geometry_utils_test) TestHyperOptOfGpFromHistoricalData (class in moe_examples.tests.hyper_opt_of_gp_from_historical_data_test) TestLatinHypercubeRandomPointGeneration (class in moe.tests.optimal_learning.python.geometry_utils_test) TestLinkers (class in moe.tests.bandit.linkers_test) (class in moe.tests.optimal_learning.python.linkers_test) TestLogLikelihood (class in moe.tests.optimal_learning.python.cpp_wrappers.log_likelihood_test) TestMeanAndVarOfGpFromHistoricData (class in moe_examples.tests.mean_and_var_of_gp_from_historic_data_test) TestNextPointsViaSimpleEndpoint (class in moe_examples.tests.next_point_via_simple_endpoint_test) TestNullOptimizer (class in moe.tests.optimal_learning.python.python_version.optimization_test) TestOptimizer (class in moe.tests.optimal_learning.python.python_version.optimization_test) TestOptimizerParameters (class in moe.tests.optimal_learning.python.cpp_wrappers.optimization_test) TestRestGaussianProcessWithExceptions (class in moe.tests.views.exceptions_test) TestSquareExponential (class in moe.tests.optimal_learning.python.python_version.covariance_test) TestUCB1 (class in moe.tests.bandit.ucb.ucb1_test) TestUCB1Tuned (class in moe.tests.bandit.ucb.ucb1_tuned_test) TestUtils (class in moe.tests.bandit.utils_test) (class in moe.tests.views.utils_test) three_arms_float_payoffs_test_case (moe.tests.bandit.bandit_test_case.BanditTestCase attribute) three_arms_test_case (moe.tests.bandit.bandit_test_case.BanditTestCase attribute) three_arms_two_winners_no_unsampled_arm_test_case (moe.tests.bandit.bandit_test_case.BanditTestCase attribute) three_arms_two_winners_test_case (moe.tests.bandit.bandit_test_case.BanditTestCase attribute) three_arms_with_variance_no_unsampled_arm_test_case (moe.tests.bandit.bandit_test_case.BanditTestCase attribute) timing_context() (in module moe.optimal_learning.python.timing) title (moe.views.schemas.bandit_pretty_view.ArmAllocations attribute) (moe.views.schemas.bandit_pretty_view.ArmsSampled attribute) (moe.views.schemas.base_schemas.PositiveFloat attribute) to_list_of_sample_points() (moe.optimal_learning.python.data_containers.HistoricalData method) total (moe.bandit.data_containers.SampleArm attribute) total_samples_to_test (moe.tests.bandit.epsilon.epsilon_first_test.TestEpsilonFirst attribute) TRAFFIC_PER_DAY (in module moe_examples.blog_post_example_ab_testing) true_click_through_rate() (in module moe_examples.blog_post_example_ab_testing) two_arms_test_case (moe.tests.bandit.bandit_test_case.BanditTestCase attribute) two_unsampled_arms_test_case (moe.tests.bandit.bandit_test_case.BanditTestCase attribute)

U

UCB1 (class in moe.bandit.ucb.ucb1) UCB1Tuned (class in moe.bandit.ucb.ucb1_tuned) UCBInterface (class in moe.bandit.ucb.ucb_interface)

UCBTestCase (class in moe.tests.bandit.ucb.ucb_test_case) uncppify() (in module moe.optimal_learning.python.cpp_wrappers.cpp_utils)

V

validate() (moe.bandit.data_containers.BernoulliArm method) (moe.bandit.data_containers.SampleArm method) (moe.optimal_learning.python.data_containers.SamplePoint method) validate_historical_data() (moe.optimal_learning.python.data_containers.HistoricalData static method) validate_sample_arms() (moe.bandit.data_containers.HistoricalData static method)

validate_sample_points() (moe.optimal_learning.python.data_containers.HistoricalData static method) validator() (moe.views.schemas.bandit_pretty_view.ArmAllocations method) (moe.views.schemas.bandit_pretty_view.ArmsSampled method) (moe.views.schemas.base_schemas.PositiveFloat method) variance (moe.bandit.data_containers.SampleArm attribute)

W

win (moe.bandit.data_containers.SampleArm attribute)