Index

A

add_file_extension() (in module spare_scores.util), [1]

age_sex_match() (in module spare_scores.data_prep), [1] apply_model() (spare_scores.classes.SpareModel method), [1]

C

check_file_exists() (in module spare_scores.util), [1] check_test() (in module spare_scores.data_prep), [1] check_train() (in module spare_scores.data_prep), [1] convert_cat_variables() (in module spare_scores.data_prep), [1]

convert_to_number_if_possible() (in module spare_scores.util), [1] correct_reg_bias() (spare_scores.svm.SVMModel method), [1] cv_folds (spare_scores.classes.MetaData attribute), [1] cv_results (spare_scores.classes.MetaData attribute), [1]

E

expspace() (in module spare_scores.util), [1]

F

find_best_threshold() (spare_scores.mlp_torch.MLPTorchModel method), [1] fit() (spare_scores.mlp.MLPModel method), [1] (spare_scores.mlp_torch.MLPTorchModel method), [1] (spare_scores.svm.SVMModel method), [1]

forward() (spare_scores.mlp_torch.SimpleMLP method), [1]

G

get_all_stats() (spare_scores.mlp_torch.MLPTorchModel method), [1] get_parameters() (spare_scores.classes.SpareModel method), [1]

get_stats() (spare_scores.mlp.MLPModel method), [1] (spare_scores.svm.SVMModel method), [1]

I

is_unique_identifier() (in module spare_scores.util), [1]

K

kernel (spare_scores.classes.MetaData attribute), [1]

key_var (spare_scores.classes.MetaData attribute), [1]

L

load_df() (in module spare_scores.util), [1] load_examples() (in module spare_scores.util), [1]

load_model() (in module spare_scores.util), [1] logging_basic_config() (in module spare_scores.data_prep), [1]

M

main() (in module spare_scores.cli), [1] mdl_task (spare_scores.classes.MetaData attribute), [1] mdl_type (spare_scores.classes.MetaData attribute), [1] MetaData (class in spare_scores.classes), [1] MLPDataset (class in spare_scores.mlp_torch), [1] MLPModel (class in spare_scores.mlp), [1] MLPTorchModel (class in spare_scores.mlp_torch), [1] module spare_scores, [1] spare_scores.classes, [1] spare_scores.cli, [1] spare_scores.data_prep, [1] spare_scores.mlp, [1] spare_scores.mlp_torch, [1] spare_scores.spare spare_scores.svm, [1] spare_scores.util, [1]

O

object() (spare_scores.mlp_torch.MLPTorchModel method), [1] output_stats() (spare_scores.mlp.MLPModel method), [1] (spare_scores.mlp_torch.MLPTorchModel method), [1] (spare_scores.svm.SVMModel method), [1]

P

param_search() (spare_scores.svm.SVMModel method), [1] params (spare_scores.classes.MetaData attribute), [1] predict() (spare_scores.mlp.MLPModel method), [1] (spare_scores.mlp_torch.MLPTorchModel method), [1] (spare_scores.svm.SVMModel method), [1]

predictors (spare_scores.classes.MetaData attribute), [1] prepare_sample() (spare_scores.svm.SVMModel method), [1]

R

run_CV() (spare_scores.svm.SVMModel method), [1]

S

save_file() (in module spare_scores.util), [1] scaler (spare_scores.classes.MetaData attribute), [1] set_parameters() (spare_scores.classes.SpareModel method), [1] (spare_scores.mlp.MLPModel method), [1] (spare_scores.mlp_torch.MLPTorchModel method), [1] (spare_scores.svm.SVMModel method), [1] SimpleMLP (class in spare_scores.mlp_torch), [1] smart_unique() (in module spare_scores.data_prep), [1] spare_scores module, [1] spare_scores.classes module, [1] spare_scores.cli module, [1] spare_scores.data_prep module, [1]

spare_scores.mlp module, [1] spare_scores.mlp_torch module, [1] spare_scores.spare module spare_scores.svm module, [1] spare_scores.util module, [1] spare_test() (in module spare_scores.spare) spare_train() (in module spare_scores.spare) SpareModel (class in spare_scores.classes), [1] stats (spare_scores.classes.MetaData attribute), [1] SVMModel (class in spare_scores.svm), [1]

T

to_predict (spare_scores.classes.MetaData attribute), [1]

train_initialize() (spare_scores.svm.SVMModel method), [1] train_model() (spare_scores.classes.SpareModel method), [1]