Index

A

activation_fn (run_experiment.experiment attribute)

annealing (run_experiment.experiment attribute)

B

base_dist (maf.MADE property) (maf.MAF property) (maf.RealNVP property)

batch_norm_order (run_experiment.experiment attribute) batch_size (run_experiment.experiment attribute) BatchNorm (class in maf) budget (run_experiment.experiment attribute)

C

calibrate_interval (run_experiment.experiment attribute)

create_masks() (in module maf)

E

experiment (class in run_experiment)

extra_repr() (maf.MaskedLinear method)

F

flow_type (run_experiment.experiment attribute) FlowSequential (class in maf) forward() (maf.BatchNorm method) (maf.FlowSequential method) (maf.LinearMaskedCoupling method) (maf.MADE method) (maf.MAF method) (maf.MaskedLinear method) (maf.RealNVP method) (nofas.Surrogate method)

G

gen_grid() (nofas.Surrogate method)

H

hidden_size (run_experiment.experiment attribute)

I

in_features (maf.MaskedLinear attribute) input_order (run_experiment.experiment attribute) input_size (run_experiment.experiment attribute) inverse() (maf.BatchNorm method) (maf.FlowSequential method) (maf.LinearMaskedCoupling method) (maf.MADE method) (maf.MAF method) (maf.RealNVP method)

L

limits (nofas.Surrogate property) linear_step (run_experiment.experiment attribute) LinearMaskedCoupling (class in maf) log_file (run_experiment.experiment attribute) log_interval (run_experiment.experiment attribute) log_prob() (maf.MADE method) (maf.MAF method) (maf.RealNVP method)

lr (run_experiment.experiment attribute) lr_decay (run_experiment.experiment attribute) lr_scheduler (run_experiment.experiment attribute) lr_step (run_experiment.experiment attribute)

M

M (run_experiment.experiment attribute) MADE (class in maf) maf module MAF (class in maf)

MaskedLinear (class in maf) module maf nofas run_experiment

N

N (run_experiment.experiment attribute) N_1 (run_experiment.experiment attribute) n_blocks (run_experiment.experiment attribute) n_hidden (run_experiment.experiment attribute)

n_iter (run_experiment.experiment attribute) n_sample (run_experiment.experiment attribute) no_cuda (run_experiment.experiment attribute) nofas module

O

optimizer (run_experiment.experiment attribute)

out_features (maf.MaskedLinear attribute) output_dir (run_experiment.experiment attribute)

P

pre_grid (nofas.Surrogate property)

pre_train() (nofas.Surrogate method)

R

RealNVP (class in maf) run() (run_experiment.experiment method)

run_experiment module run_nofas (run_experiment.experiment attribute)

S

save_interval (run_experiment.experiment attribute) scheduler (run_experiment.experiment attribute) seed (run_experiment.experiment attribute) store_nf_interval (run_experiment.experiment attribute) store_surr_interval (run_experiment.experiment attribute) surr_folder (run_experiment.experiment attribute)

surr_pre_it (run_experiment.experiment attribute) surr_upd_it (run_experiment.experiment attribute) Surrogate (class in nofas) surrogate_load() (nofas.Surrogate method) surrogate_save() (nofas.Surrogate method) surrogate_type (run_experiment.experiment attribute)

T

T (run_experiment.experiment attribute) t0 (run_experiment.experiment attribute) T_0 (run_experiment.experiment attribute) T_1 (run_experiment.experiment attribute) test_surrogate() (in module nofas) tol (run_experiment.experiment attribute)

train() (run_experiment.experiment method) training (maf.BatchNorm attribute) (maf.LinearMaskedCoupling attribute) (maf.MADE attribute) (maf.MAF attribute) (maf.RealNVP attribute) true_data_num (run_experiment.experiment attribute)

U

update() (nofas.Surrogate method)

use_new_surr (run_experiment.experiment attribute)

W

weight (maf.MaskedLinear attribute)