CISS-VAE
Contents:
CISS-VAE Quickstart
How to use CISS-VAE
Running the CISS-VAE Model
Hyperparameter Tuning with Optuna
Saving and loading models
Handling binary data columns
Handling Categorical Data Columns
Using
create_missingness_prop_matrix
: A Complete Guide
Integration with sample clustering
Integration w/ CISS-VAE pipeline
Full workflow
Avoiding undesired imputation of certain missing data
API Reference
CISS-VAE
Index
Index
_
|
A
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
L
|
M
|
P
|
R
|
S
|
T
_
__init__() (CISSVAE method)
(ClusterDataset method)
(SearchSpace method)
A
autotune() (in module ciss_vae.training.autotune)
,
[1]
C
ciss_vae
module
ciss_vae.classes
module
ciss_vae.classes.cluster_dataset
module
ciss_vae.classes.vae
module
ciss_vae.data
module
ciss_vae.training
module
ciss_vae.training.autotune
module
ciss_vae.training.run_cissvae
module
ciss_vae.training.train_initial
module
ciss_vae.training.train_refit
module
ciss_vae.utils
module
ciss_vae.utils.clustering
module
ciss_vae.utils.helpers
module
ciss_vae.utils.loss
module
ciss_vae.utils.matrix
module
CISSVAE (class in ciss_vae.classes)
(class in ciss_vae.classes.vae)
,
[1]
cluster_on_missing() (in module ciss_vae.utils)
(in module ciss_vae.utils.clustering)
,
[1]
cluster_on_missing_prop() (in module ciss_vae.utils)
(in module ciss_vae.utils.clustering)
,
[1]
ClusterDataset (class in ciss_vae.classes)
(class in ciss_vae.classes.cluster_dataset)
,
[1]
compute_val_mse() (in module ciss_vae.utils)
(in module ciss_vae.utils.helpers)
copy() (ClusterDataset method)
,
[1]
,
[2]
create_missingness_prop_matrix() (in module ciss_vae.utils)
(in module ciss_vae.utils.matrix)
,
[1]
D
decode() (CISSVAE method)
,
[1]
,
[2]
E
encode() (CISSVAE method)
,
[1]
,
[2]
evaluate_imputation() (in module ciss_vae.utils.helpers)
F
forward() (CISSVAE method)
,
[1]
,
[2]
G
get_activation_groups() (ClusterDataset method)
,
[1]
,
[2]
get_final_lr() (CISSVAE method)
,
[1]
,
[2]
get_imputed() (in module ciss_vae.utils)
(in module ciss_vae.utils.helpers)
,
[1]
get_imputed_df() (in module ciss_vae.utils)
(in module ciss_vae.utils.helpers)
,
[1]
get_imputed_valdata() (CISSVAE method)
,
[1]
,
[2]
H
head() (MissingnessMatrix method)
I
impute_and_refit_loop() (in module ciss_vae.training.train_refit)
L
load() (SearchSpace class method)
,
[1]
,
[2]
load_clusters() (in module ciss_vae.data)
load_complete_data() (in module ciss_vae.data)
load_example_dataset() (in module ciss_vae.data)
load_missing_data() (in module ciss_vae.data)
loss_function() (in module ciss_vae.utils)
(in module ciss_vae.utils.loss)
loss_function_nomask() (in module ciss_vae.utils.loss)
M
MissingnessMatrix (class in ciss_vae.utils.matrix)
module
ciss_vae
ciss_vae.classes
ciss_vae.classes.cluster_dataset
ciss_vae.classes.vae
ciss_vae.data
ciss_vae.training
ciss_vae.training.autotune
ciss_vae.training.run_cissvae
ciss_vae.training.train_initial
ciss_vae.training.train_refit
ciss_vae.utils
ciss_vae.utils.clustering
ciss_vae.utils.helpers
ciss_vae.utils.loss
ciss_vae.utils.matrix
P
plot_vae_architecture() (in module ciss_vae.utils)
(in module ciss_vae.utils.helpers)
,
[1]
R
reparameterize() (CISSVAE method)
,
[1]
,
[2]
route_through_layers() (CISSVAE method)
,
[1]
,
[2]
run_autotune() (in module ciss_vae.training)
run_cissvae() (in module ciss_vae.training)
(in module ciss_vae.training.run_cissvae)
,
[1]
S
save() (SearchSpace method)
,
[1]
,
[2]
SearchSpace (class in ciss_vae.training)
(class in ciss_vae.training.autotune)
,
[1]
set_activation_groups() (CISSVAE method)
,
[1]
,
[2]
set_final_lr() (CISSVAE method)
,
[1]
,
[2]
shape (MissingnessMatrix property)
T
to_dataframe() (MissingnessMatrix method)
to_numpy() (MissingnessMatrix method)
train_vae_initial() (in module ciss_vae.training)
(in module ciss_vae.training.train_initial)
train_vae_refit() (in module ciss_vae.training)
(in module ciss_vae.training.train_refit)