Index

_

__init__() (paradance.dataloader.BaseDataLoader method) (paradance.dataloader.BaseDataLoaderConfig method) (paradance.dataloader.CSVLoader method) (paradance.dataloader.ExcelLoader method) (paradance.evaluation.BaseCalculator method) (paradance.evaluation.Calculator method) (paradance.evaluation.LogarithmPCACalculator method) (paradance.optimization.BaseObjective method) (paradance.optimization.MultipleObjective method) (paradance.pipeline.BasePipeline method) (paradance.pipeline.ClassicalPipeline method) (paradance.pipeline.LogarithmPCAPipeline method)

A

add_evaluator() (paradance.optimization.MultipleObjective method)

add_one_smoothing() (paradance.dataloader.BaseDataLoader method)

B

BaseCalculator (class in paradance.evaluation) BaseDataLoader (class in paradance.dataloader) BaseDataLoaderConfig (class in paradance.dataloader)

BaseObjective (class in paradance.optimization) BasePipeline (class in paradance.pipeline) build_logger() (paradance.optimization.BaseObjective method), [1]

C

Calculator (class in paradance.evaluation) calculator (paradance.optimization.BaseObjective attribute) (paradance.pipeline.LogarithmPCAPipeline attribute) ClassicalPipeline (class in paradance.pipeline) clean_columns_zero() (paradance.dataloader.BaseDataLoader method) clean_one_label_users() (paradance.dataloader.BaseDataLoader static method) clip_and_sum_with_group() (paradance.dataloader.BaseDataLoader static method)

clip_clean_count_with_group() (paradance.dataloader.BaseDataLoader static method) clip_max() (paradance.evaluation.BaseCalculator static method) clip_min() (paradance.evaluation.BaseCalculator static method) column_name_spliting() (paradance.dataloader.BaseDataLoader method) config (paradance.pipeline.BasePipeline attribute) create_score_columns() (paradance.evaluation.Calculator method) CSVLoader (class in paradance.dataloader)

D

dataframe (paradance.pipeline.LogarithmPCAPipeline attribute) df (paradance.evaluation.Calculator attribute) (paradance.evaluation.LogarithmPCACalculator attribute)

direction (paradance.optimization.BaseObjective attribute) dirichlet (paradance.optimization.BaseObjective attribute)

E

equation_eval_str (paradance.evaluation.Calculator attribute) equation_type (paradance.evaluation.Calculator attribute) evaluate_custom_weights() (paradance.optimization.BaseObjective method) (paradance.optimization.MultipleObjective method)

evaluate_given_scores() (paradance.optimization.MultipleObjective method) ExcelLoader (class in paradance.dataloader) export_completed_formulas() (paradance.optimization.MultipleObjective method)

F

file_name (paradance.dataloader.BaseDataLoaderConfig attribute) file_path (paradance.dataloader.BaseDataLoaderConfig attribute) file_type (paradance.dataloader.BaseDataLoaderConfig attribute) (paradance.pipeline.LogarithmPCAPipeline attribute)

first_order (paradance.optimization.BaseObjective attribute) formula (paradance.optimization.BaseObjective attribute) full_path (paradance.optimization.BaseObjective attribute)

G

get_overall_score() (paradance.evaluation.BaseCalculator method) (paradance.evaluation.Calculator method) (paradance.evaluation.LogarithmPCACalculator method)

get_weights_num() (paradance.optimization.BaseObjective method)

I

initialize_fq_sampler() (paradance.evaluation.Calculator method)

initialize_local_dict() (paradance.evaluation.BaseCalculator method)

L

load_data() (paradance.dataloader.BaseDataLoader method) (paradance.dataloader.CSVLoader method) (paradance.dataloader.ExcelLoader method)

LogarithmPCACalculator (class in paradance.evaluation) LogarithmPCAPipeline (class in paradance.pipeline) logger (paradance.optimization.BaseObjective attribute)

M

max_rows (paradance.dataloader.BaseDataLoaderConfig attribute)

model_config (paradance.dataloader.BaseDataLoaderConfig attribute) MultipleObjective (class in paradance.optimization)

N

n_trials (paradance.pipeline.BasePipeline attribute)

O

objective (paradance.pipeline.LogarithmPCAPipeline attribute) objective() (paradance.optimization.BaseObjective method), [1] (paradance.optimization.MultipleObjective method)

optimize() (paradance.optimization.BaseObjective method), [1] overall_score_lower_bound (paradance.evaluation.Calculator attribute) overall_score_upper_bound (paradance.evaluation.Calculator attribute)

P

pca_calculator (paradance.evaluation.LogarithmPCACalculator attribute) plot_logarithm_distributions() (paradance.pipeline.LogarithmPCAPipeline method)

plot_self_balancing_projected_distribution() (paradance.pipeline.LogarithmPCAPipeline method) power (paradance.optimization.BaseObjective attribute)

R

rerank_with_side_information() (paradance.evaluation.BaseCalculator method)

run() (paradance.pipeline.BasePipeline method)

S

selected_columns (paradance.evaluation.Calculator attribute), [1] selected_values (paradance.evaluation.Calculator attribute) show_results() (paradance.pipeline.BasePipeline method) (paradance.pipeline.ClassicalPipeline method) (paradance.pipeline.LogarithmPCAPipeline method)

study (paradance.optimization.BaseObjective attribute) study_name (paradance.optimization.BaseObjective attribute) study_path (paradance.optimization.BaseObjective attribute)

V

value_scale() (paradance.evaluation.Calculator method)

value_scales (paradance.evaluation.Calculator attribute)

W

weights_for_groups (paradance.evaluation.Calculator attribute)

weights_num (paradance.optimization.BaseObjective attribute)