Index
B
|
C
|
D
|
E
|
F
|
G
|
I
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
V
B
beam_search() (reglm.lightning.LightningModel method)
C
CharDataset (class in reglm.dataset)
compute_accuracy() (in module reglm.metrics)
compute_accuracy_on_dataset() (reglm.lightning.LightningModel method)
configure_optimizers() (reglm.lightning.LightningModel method)
(reglm.regression.EnformerModel method)
D
decode() (reglm.dataset.CharDataset method)
(reglm.lightning.LightningModel method)
E
encode() (reglm.lightning.LightningModel method)
encode_label() (reglm.dataset.CharDataset method)
encode_labels() (reglm.lightning.LightningModel method)
encode_seq() (reglm.dataset.CharDataset method)
encode_seqs() (reglm.lightning.LightningModel method)
EnformerModel (class in reglm.regression)
evolve() (in module reglm.evolve)
F
filter_base_probs() (reglm.lightning.LightningModel method)
forward() (reglm.lightning.LightningModel method)
(reglm.regression.EnformerModel method)
(reglm.regression.MultiTaskEnformerModel method)
G
generate() (reglm.lightning.LightningModel method)
generate_random_sequences() (in module reglm.interpret)
get_label_tokens() (in module reglm.utils)
get_percentiles() (in module reglm.utils)
I
ISM() (in module reglm.interpret)
ISM_at_pos() (in module reglm.interpret)
ISM_predict() (in module reglm.interpret)
ISM_score() (in module reglm.interpret)
L
LightningModel (class in reglm.lightning)
load_pretrained_model() (in module reglm.lightning)
M
matrix_to_scores() (in module reglm.utils)
module
reglm
reglm.dataset
reglm.evolve
reglm.interpret
reglm.lightning
reglm.metrics
reglm.regression
reglm.utils
motif_insert() (in module reglm.interpret)
motif_likelihood() (in module reglm.interpret)
MultiTaskEnformerModel (class in reglm.regression)
N
normalize_filtered_probs() (reglm.lightning.LightningModel method)
O
on_save_checkpoint() (reglm.lightning.LightningModel method)
P
P_labels_given_seqs() (reglm.lightning.LightningModel method)
P_seqs() (reglm.lightning.LightningModel method)
P_seqs_given_labels() (reglm.lightning.LightningModel method)
predict_on_dataset() (reglm.regression.EnformerModel method)
(reglm.regression.MultiTaskEnformerModel method)
probs_to_likelihood() (reglm.lightning.LightningModel method)
R
reglm
module
reglm.dataset
module
reglm.evolve
module
reglm.interpret
module
reglm.lightning
module
reglm.metrics
module
reglm.regression
module
reglm.utils
module
S
sample_idxs() (reglm.lightning.LightningModel method)
scores_to_matrix() (in module reglm.utils)
SeqDataset (class in reglm.regression)
seqs_to_idxs() (in module reglm.utils)
T
threshold_probs() (reglm.lightning.LightningModel method)
tokenize() (in module reglm.utils)
train_on_dataset() (reglm.lightning.LightningModel method)
(reglm.regression.EnformerModel method)
training_step() (reglm.lightning.LightningModel method)
(reglm.regression.EnformerModel method)
V
validation_epoch_end() (reglm.lightning.LightningModel method)
(reglm.regression.EnformerModel method)
validation_step() (reglm.lightning.LightningModel method)
(reglm.regression.EnformerModel method)
regLM
Navigation
Overview
License
Authors
Module Reference
Related Topics
Documentation overview
Quick search