Index

_

__build() (model.noisecut_coder.PseudoBooleanFunc method) __check_functionality_in_each_box_by_recursion() (tree_structured.sample_generator.SampleGenerator method) __convert_decimal_to_reverse_binary() (tree_structured.binary_function.BinaryFunction method) __fill_coef_matrix() (model.noisecut_coder.PseudoBooleanFunc method) __generate_unique_random_numbers() (tree_structured.data_manipulator.DataManipulator static method) __recursion() (model.noisecut_coder.PseudoBooleanFunc method)

__repr__() (tree_structured.binary_function.BinaryFunction method) __set_probability_of_being_1() (model.noisecut_coder.CoderNoiseCut method) __set_score() (model.noisecut_coder.CoderNoiseCut method) __set_start_index_function() (tree_structured.structured_data.StructuredData method) __set_xy() (tree_structured.data_manipulator.DataManipulator method) _validate_x() (tree_structured.base_structured_data.BasePseudoBooleanFunc method)

A

all_f (tree_structured.structured_data.StructuredData attribute) are_integer_elements_greater_than_zero() (tree_structured.base.Base static method)

are_list_elements_integer() (tree_structured.base.Base static method) arity (tree_structured.base_structured_data.BasePseudoBooleanFunc attribute)

B

Base (class in tree_structured.base) BaseMaxCut (class in max_cut.base_maxcut) BasePseudoBooleanFunc (class in tree_structured.base_structured_data)

BaseStructuredData (class in tree_structured.base_structured_data) BinaryFunction (class in tree_structured.binary_function) black_box_f (tree_structured.structured_data.StructuredData attribute) build_complete_data_set_y_array() (tree_structured.structured_data.StructuredData method)

C

calc_decimal_input_structured_system_to_black_box() (tree_structured.structured_data.StructuredData method) calc_index_of_linear_array() (max_cut.solvers.MaxCutSolvers method) calc_output_func() (tree_structured.binary_function.BinaryFunction method) calc_output_structured_system() (tree_structured.structured_data.StructuredData method) calc_output_structured_system_multiple_input() (tree_structured.structured_data.StructuredData method) coder_add_training_data() (model.noisecut_coder.CoderNoiseCut method) coder_fit() (model.noisecut_coder.CoderNoiseCut method) coder_predict() (model.noisecut_coder.CoderNoiseCut method) coder_predict_all() (model.noisecut_coder.CoderNoiseCut method) coder_predict_mortality_of_each_score() (model.noisecut_coder.CoderNoiseCut method) coder_predict_probability_of_being_1() (model.noisecut_coder.CoderNoiseCut method)

coder_predict_pseudo_boolean_func_coef() (model.noisecut_coder.CoderNoiseCut method) coder_predict_score() (model.noisecut_coder.CoderNoiseCut method) coder_print_model() (model.noisecut_coder.CoderNoiseCut method) coder_set_training_data() (model.noisecut_coder.CoderNoiseCut method) coder_set_uncertainty_measure() (model.noisecut_coder.CoderNoiseCut method) CoderNoiseCut (class in model.noisecut_coder) coefficient_matrix (model.noisecut_coder.PseudoBooleanFunc attribute) convert_decimal_index_to_decimal() (tree_structured.structured_data.StructuredData method) convert_decimal_to_reverse_binary() (tree_structured.structured_data.StructuredData static method) convert_reverse_binary_to_decimal() (tree_structured.structured_data.StructuredData static method) count_labels_by_recursion() (model.noisecut_coder.CoderNoiseCut method)

D

DataManipulator (class in tree_structured.data_manipulator) decimal_index_boxes (model.noisecut_coder.CoderNoiseCut attribute) (tree_structured.sample_generator.SampleGenerator attribute)

dict_new (model.noisecut_coder.PseudoBooleanFunc attribute) dimension (tree_structured.base_structured_data.BaseStructuredData attribute)

F

fit() (model.noisecut_model.NoiseCut method)

function (tree_structured.binary_function.BinaryFunction attribute) functionality (tree_structured.sample_generator.SampleGenerator attribute)

G

get_binary_function_black_box() (model.noisecut_model.NoiseCut method) (tree_structured.structured_data.StructuredData method) get_binary_function_of_box() (model.noisecut_model.NoiseCut method) (tree_structured.structured_data.StructuredData method)

get_coef_boolean_func() (model.noisecut_coder.PseudoBooleanFunc method) get_complete_data_set() (tree_structured.structured_data.StructuredData method) get_noisy_data() (tree_structured.data_manipulator.DataManipulator method) get_str_info_function() (tree_structured.binary_function.BinaryFunction method)

H

has_synthetic_example_functionality() (tree_structured.sample_generator.SampleGenerator method)

I

initialize_w() (model.noisecut_coder.CoderNoiseCut method) is_array_binary() (tree_structured.base.Base static method) is_array_like() (tree_structured.base.Base static method)

is_bool() (tree_structured.base.Base static method) is_float() (tree_structured.base.Base static method) is_integer() (tree_structured.base.Base static method) is_percentage() (tree_structured.base.Base static method)

M

max_cut module max_cut.base_maxcut module max_cut.solvers module MaxCutSolvers (class in max_cut.solvers) Metric (class in model.noisecut_coder) model module model.noisecut_coder module model.noisecut_model module

model_fitted (model.noisecut_coder.CoderNoiseCut attribute) module max_cut max_cut.base_maxcut max_cut.solvers model model.noisecut_coder model.noisecut_model tree_structured tree_structured.base tree_structured.base_structured_data tree_structured.binary_function tree_structured.data_manipulator tree_structured.sample_generator tree_structured.structured_data

N

n_box (tree_structured.base_structured_data.BaseStructuredData attribute) n_data (tree_structured.data_manipulator.DataManipulator attribute) n_diff_states (tree_structured.binary_function.BinaryFunction attribute) n_input_each_box (tree_structured.base_structured_data.BaseStructuredData attribute)

n_vertices (max_cut.base_maxcut.BaseMaxCut attribute) NoiseCut (class in model.noisecut_model) num (model.noisecut_coder.PseudoBooleanFunc attribute) number_of_0_labels (model.noisecut_coder.CoderNoiseCut attribute) number_of_1_labels (model.noisecut_coder.CoderNoiseCut attribute)

P

predict() (model.noisecut_model.NoiseCut method) predict_all() (model.noisecut_model.NoiseCut method) predict_mortality_of_each_score() (model.noisecut_model.NoiseCut method) predict_probability_of_being_1() (model.noisecut_model.NoiseCut method) predict_pseudo_boolean_func_coef() (model.noisecut_model.NoiseCut method)

predict_score() (model.noisecut_model.NoiseCut method) print_binary_function_model() (tree_structured.structured_data.StructuredData method) print_model() (model.noisecut_model.NoiseCut method) probability_of_being_1 (model.noisecut_coder.CoderNoiseCut attribute) PseudoBooleanFunc (class in model.noisecut_coder)

S

SampleGenerator (class in tree_structured.sample_generator) score_of_being_1 (model.noisecut_coder.CoderNoiseCut attribute) set_binary_function_black_box() (tree_structured.structured_data.StructuredData method) set_binary_function_manually() (tree_structured.binary_function.BinaryFunction method) set_binary_function_of_box() (tree_structured.structured_data.StructuredData method) set_confusion_matrix() (model.noisecut_coder.Metric static method) set_rand_func() (tree_structured.sample_generator.SampleGenerator method) set_random_binary_function() (tree_structured.binary_function.BinaryFunction method)

set_uncertainty_measure() (model.noisecut_model.NoiseCut method) set_weight_1d_and_n_vertices() (max_cut.solvers.MaxCutSolvers method) set_weight_2d_and_n_vertices() (max_cut.solvers.MaxCutSolvers method) set_weight_each_box_by_recursion() (model.noisecut_coder.CoderNoiseCut method) size_w (max_cut.base_maxcut.BaseMaxCut attribute) solve_maxcut() (max_cut.solvers.MaxCutSolvers method) split_data() (tree_structured.data_manipulator.DataManipulator method) StructuredData (class in tree_structured.structured_data)

T

tree_structured module tree_structured.base module tree_structured.base_structured_data module tree_structured.binary_function module

tree_structured.data_manipulator module tree_structured.sample_generator module tree_structured.structured_data module

V

validate_arity() (tree_structured.base_structured_data.BasePseudoBooleanFunc method) validate_binary_input() (tree_structured.binary_function.BinaryFunction static method) validate_id_box() (tree_structured.base_structured_data.BaseStructuredData method) validate_n() (max_cut.base_maxcut.BaseMaxCut method) validate_n_binary_input_binary_function() (tree_structured.binary_function.BinaryFunction static method) validate_n_input_each_box() (tree_structured.base_structured_data.BaseStructuredData method)

validate_n_w_1d() (max_cut.base_maxcut.BaseMaxCut method) validate_n_w_2d() (max_cut.base_maxcut.BaseMaxCut method) validate_threshold() (tree_structured.base_structured_data.BaseStructuredData static method) validate_vector_n_score() (tree_structured.base_structured_data.BaseStructuredData method) validate_x() (tree_structured.base_structured_data.BaseStructuredData method) validate_x_y() (tree_structured.base_structured_data.BasePseudoBooleanFunc method) (tree_structured.base_structured_data.BaseStructuredData method)

W

w (tree_structured.binary_function.BinaryFunction attribute)

weight (max_cut.base_maxcut.BaseMaxCut attribute) write_data_in_file() (tree_structured.data_manipulator.DataManipulator method)

X

x (tree_structured.data_manipulator.DataManipulator attribute)

Y

y (tree_structured.data_manipulator.DataManipulator attribute)

y_number_of_0 (model.noisecut_coder.CoderNoiseCut attribute) y_number_of_1 (model.noisecut_coder.CoderNoiseCut attribute)