Index

A

arg_constraints (scconfluence.distributions.NegativeBinomial attribute) (scconfluence.distributions.ZeroInflatedNegativeBinomial attribute)

AutoEncoder (class in scconfluence.unimodal)

B

BaseModule (class in scconfluence.base_module)

BatchSampler (class in scconfluence.dataset_utils)

C

check_aes() (in module scconfluence.model) configure_multimodal_dataset() (in module scconfluence.dataset_utils)

configure_optimizers() (scconfluence.base_module.BaseModule method) configure_unimodal_dataset() (in module scconfluence.dataset_utils)

D

DecoderPeakVI (class in scconfluence.nn) DecoderSCVI (class in scconfluence.nn)

DictDataset (class in scconfluence.dataset_utils) DSBatchNorm (class in scconfluence.nn)

F

FCLayers (class in scconfluence.nn) fit() (scconfluence.base_module.BaseModule method) format_batch() (in module scconfluence.dataset_utils) forward() (scconfluence.base_module.BaseModule method) (scconfluence.nn.DecoderPeakVI method) (scconfluence.nn.DecoderSCVI method) (scconfluence.nn.DSBatchNorm method) (scconfluence.nn.FCLayers method) (scconfluence.nn.VariationalEncoder method)

G

generative() (scconfluence.base_module.BaseModule method) (scconfluence.model.ScConfluence method) (scconfluence.unimodal.AutoEncoder method) get_batch_norm() (in module scconfluence.nn)

get_imputation() (scconfluence.model.ScConfluence method) get_iot_loss() (scconfluence.model.ScConfluence method) get_latent() (scconfluence.base_module.BaseModule method) get_sinkhorn_reg() (scconfluence.model.ScConfluence method)

I

imputation_batch() (scconfluence.model.ScConfluence method) inference() (scconfluence.base_module.BaseModule method) (scconfluence.model.ScConfluence method) (scconfluence.unimodal.AutoEncoder method)

inference_dl_trainer() (in module scconfluence.dataset_utils) inject_into_layer() (scconfluence.nn.FCLayers method)

L

latent_batch() (scconfluence.base_module.BaseModule method) (scconfluence.model.ScConfluence method) (scconfluence.unimodal.AutoEncoder method) log_all_metrics() (scconfluence.base_module.BaseModule method) log_latent_norms() (scconfluence.base_module.BaseModule method) (scconfluence.model.ScConfluence method) (scconfluence.unimodal.AutoEncoder method)

log_nb_positive() (in module scconfluence.distributions) log_prob() (scconfluence.distributions.NegativeBinomial method) (scconfluence.distributions.ZeroInflatedNegativeBinomial method) log_zinb_positive() (in module scconfluence.distributions) loss() (scconfluence.base_module.BaseModule method) (scconfluence.model.ScConfluence method) (scconfluence.unimodal.AutoEncoder method)

M

mean (scconfluence.distributions.NegativeBinomial property) (scconfluence.distributions.ZeroInflatedNegativeBinomial property) MModalDataset (class in scconfluence.dataset_utils) module scconfluence.base_module scconfluence.dataset_utils scconfluence.distributions scconfluence.model scconfluence.nn scconfluence.unimodal

N

NegativeBinomial (class in scconfluence.distributions)

O

one_hot() (in module scconfluence.nn)

optimizer_zero_grad() (scconfluence.base_module.BaseModule method)

P

predict_step() (scconfluence.model.ScConfluence method) (scconfluence.unimodal.AutoEncoder method)

R

reconstr_loss() (scconfluence.unimodal.AutoEncoder method) reparameterize_gaussian() (in module scconfluence.nn) reset_log_metrics() (scconfluence.base_module.BaseModule method) (scconfluence.model.ScConfluence method) (scconfluence.unimodal.AutoEncoder method)

reset_parameters() (scconfluence.nn.DSBatchNorm method) reset_running_stats() (scconfluence.nn.DSBatchNorm method)

S

sample() (scconfluence.distributions.NegativeBinomial method) (scconfluence.distributions.ZeroInflatedNegativeBinomial method) ScConfluence (class in scconfluence.model) scconfluence.base_module module scconfluence.dataset_utils module scconfluence.distributions module

scconfluence.model module scconfluence.nn module scconfluence.unimodal module split_train_val() (scconfluence.dataset_utils.DictDataset method) (scconfluence.dataset_utils.MModalDataset method) support (scconfluence.distributions.NegativeBinomial attribute) (scconfluence.distributions.ZeroInflatedNegativeBinomial attribute)

T

train_val_step() (scconfluence.base_module.BaseModule method)

training_step() (scconfluence.base_module.BaseModule method)

V

validation_step() (scconfluence.base_module.BaseModule method) variance (scconfluence.distributions.NegativeBinomial property) (scconfluence.distributions.ZeroInflatedNegativeBinomial property)

VariationalEncoder (class in scconfluence.nn)

Z

ZeroInflatedNegativeBinomial (class in scconfluence.distributions)

zi_logits (scconfluence.distributions.ZeroInflatedNegativeBinomial property) zi_probs (scconfluence.distributions.ZeroInflatedNegativeBinomial property)