Index

D

data (bayesian_feature_selection.ExperimentConfig attribute) data_path (bayesian_feature_selection.DataConfig attribute)

DataConfig (class in bayesian_feature_selection) DataLoader (class in bayesian_feature_selection)

E

ExperimentConfig (class in bayesian_feature_selection)

F

family (bayesian_feature_selection.ModelConfig attribute) feature_cols (bayesian_feature_selection.DataConfig attribute)

fit() (bayesian_feature_selection.HorseshoeGLM method) from_yaml() (bayesian_feature_selection.ExperimentConfig class method)

G

get_feature_importance() (bayesian_feature_selection.HorseshoeGLM method)

H

HorseshoeGLM (class in bayesian_feature_selection)

I

inference (bayesian_feature_selection.ExperimentConfig attribute)

InferenceConfig (class in bayesian_feature_selection)

L

learning_rate (bayesian_feature_selection.InferenceConfig attribute) load_and_split() (bayesian_feature_selection.DataLoader method)

load_data() (bayesian_feature_selection.DataLoader method) load_data_from_config() (in module bayesian_feature_selection)

M

method (bayesian_feature_selection.InferenceConfig attribute) (bayesian_feature_selection.SelectionConfig attribute)

model (bayesian_feature_selection.ExperimentConfig attribute) model() (bayesian_feature_selection.HorseshoeGLM method) ModelConfig (class in bayesian_feature_selection)

N

num_chains (bayesian_feature_selection.InferenceConfig attribute) num_samples (bayesian_feature_selection.InferenceConfig attribute)

num_steps (bayesian_feature_selection.InferenceConfig attribute) num_warmup (bayesian_feature_selection.InferenceConfig attribute)

O

output (bayesian_feature_selection.ExperimentConfig attribute)

OutputConfig (class in bayesian_feature_selection)

P

plot_diagnostics() (in module bayesian_feature_selection.visualization) plot_feature_importance() (in module bayesian_feature_selection.visualization)

predict() (bayesian_feature_selection.HorseshoeGLM method) progress_bar (bayesian_feature_selection.InferenceConfig attribute)

R

random_seed (bayesian_feature_selection.DataConfig attribute)

S

save_diagnostics (bayesian_feature_selection.OutputConfig attribute) save_plots (bayesian_feature_selection.OutputConfig attribute) save_predictions() (bayesian_feature_selection.DataLoader method) save_samples (bayesian_feature_selection.OutputConfig attribute)

scale_global (bayesian_feature_selection.ModelConfig attribute) selection (bayesian_feature_selection.ExperimentConfig attribute) SelectionConfig (class in bayesian_feature_selection) standardize (bayesian_feature_selection.DataConfig attribute)

T

target_col (bayesian_feature_selection.DataConfig attribute) test_size (bayesian_feature_selection.DataConfig attribute)

threshold (bayesian_feature_selection.SelectionConfig attribute) to_yaml() (bayesian_feature_selection.ExperimentConfig method)

U

update_from_dict() (bayesian_feature_selection.ExperimentConfig method)

use_gpu (bayesian_feature_selection.InferenceConfig attribute)