Functions — github.com/cosmaadrian/time-enriched-multimodal-depression-detection

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Functions109 in github.com/cosmaadrian/time-enriched-multimodal-depression-detection

⨍ Functions 109◇ Types & classes 28

↓ 8 callersMethodlog

(self, key, value, on_step=True, force_log=False)

loggers/wandb_logger.py:14

↓ 6 callersMethod__init__

(self, args)

models/layers/attention.py:11

↓ 3 callersFunctionget_users_labels

(path)

scripts/make_oficial_dataset.py:17

↓ 3 callersFunctionget_users_labels

(path)

scripts/prepare_data_for_experiments.py:19

↓ 3 callersFunctionload_args

(args)

utils.py:22

↓ 3 callersMethodload_multimodal

( self, image_embeddings, text_embeddings, dates, label, user_name=None )

datasets/time_dataset.py:21

↓ 3 callersFunctionmake_dataset

(users, labels, kind="train")

scripts/prepare_data_for_experiments.py:26

↓ 3 callersFunctionmake_dataset_with_only_texts

(users, labels, kind="train")

scripts/make_oficial_dataset.py:149

↓ 3 callersMethodtranspose_for_scores

(self, x)

models/layers/attention.py:59

↓ 2 callersMethod_emb_size

(self, kind)

datasets/time_dataset.py:14

↓ 2 callersMethodconfigure_optimizers

(self, lr=0.00001)

particular_model_trainers/trainer.py:24

↓ 2 callersFunctionload_model

(args)

utils.py:33

↓ 2 callersMethodload_singlemodal

(self, modality, dates, label, user_name=None)

datasets/time_dataset.py:104

models/time2vec.py:25

↓ 1 callersMethod_read_text_embeddings

(self, user)

datasets/reddit.py:50

↓ 1 callersMethodcross_att

( self, lang_input, lang_attention_mask, visn_input, visn_attention_mask )

models/layers/attention.py:190

↓ 1 callersMethodevaluate

(self, save=True)

evaluators/multimodal_evaluator.py:36

↓ 1 callersMethodevaluate

(self)

evaluators/base_evaluator.py:12

↓ 1 callersFunctionextend_config

(cfg_path, child=None)

utils.py:7

↓ 1 callersFunctionextract_image_embedding

(user_images, model, input_representation)

scripts/error_analysis.py:142

↓ 1 callersFunctionextract_image_embedding

(dataset, input_representation, model, embs, label)

scripts/extract_twitter_embeddings.py:113

↓ 1 callersFunctionextract_image_embedding

(dataset, input_representation, model, embs, kind)

scripts/extract_submission_embeddings.py:119

↓ 1 callersFunctionextract_text_embedding_sent

(user_texts, model)

scripts/error_analysis.py:131

↓ 1 callersFunctionextract_text_embedding_sent

(dataset, model, embs, label)

scripts/extract_twitter_embeddings.py:87

↓ 1 callersFunctionextract_text_embedding_sent

(dataset, model, embs, kind)

scripts/extract_submission_embeddings.py:93

↓ 1 callersMethodfit

(self, model, train_dataloader, val_dataloader)

trainer/trainer.py:26

↓ 1 callersMethodget_batch

(self, idx)

scripts/error_analysis.py:76

↓ 1 callersFunctionget_embeddings_patches

()

scripts/extract_twitter_embeddings.py:149

↓ 1 callersFunctionget_embeddings_patches

()

scripts/extract_submission_embeddings.py:157

↓ 1 callersMethodon_batch_end

(self)

callbacks/callback.py:11

↓ 1 callersMethodon_batch_start

(self)

callbacks/callback.py:8

↓ 1 callersMethodon_epoch_end

(self)

callbacks/callback.py:2

↓ 1 callersMethodon_epoch_start

(self)

callbacks/callback.py:5

↓ 1 callersMethodoutput_fc

(self, lang_input, visn_input)

models/layers/attention.py:208

↓ 1 callersMethodself_att

( self, lang_input, lang_attention_mask, visn_input, visn_attention_mask )

models/layers/attention.py:201

↓ 1 callersFunctionsplit_into_shards

(user, embedding_types, size)

scripts/split_reddit_shards.py:25

↓ 1 callersMethodstop

(self)

trainer/trainer.py:23

↓ 1 callersMethodtraining_epoch_end

(self, epoch=None)

particular_model_trainers/acumen_trainer.py:25

↓ 1 callersMethodtraining_epoch_start

(self, epoch=None)

particular_model_trainers/acumen_trainer.py:28

↓ 1 callersMethodtraining_step

(self, batch, batch_idx)

particular_model_trainers/trainer.py:31

↓ 1 callersMethodvalidation_epoch_end

(self, outputs)

particular_model_trainers/trainer.py:60

↓ 1 callersMethodvalidation_step

(self, batch, i)

particular_model_trainers/trainer.py:48

↓ 1 callersMethodwatch

(self, model)

loggers/wandb_logger.py:11

Method__getitem__

(self, idx)

datasets/twitter_submission_dataset.py:30

Method__getitem__

(self, idx)

datasets/submissions_dataset.py:35

Method__getitem__

(self, idx)

datasets/twitter.py:69

Method__getitem__

(self, idx)

datasets/reddit.py:94

Method__getitem__

(self, tau)

models/time2vec.py:28

Method__init__

( self, on_epoch_end=None, on_epoch_start=None, on_batch_start=None, o

callbacks/lambda_callback.py:5

Method__init__

( self, monitor="val_loss", direction="down", dirpath="checkpoints/",

callbacks/model_checkpoint.py:7

Method__init__

( self, monitor="val_loss", patience=5, direction="down", )

callbacks/early_stopping.py:5

Method__init__

(self, args, model, class_weights=None)

particular_model_trainers/trainer.py:13

Method__init__

( self, args, time_dataset, image_encoder, text_encoder, label

scripts/error_analysis.py:60

Method__init__

(self, model)

scripts/error_analysis.py:113

Method__init__

(self, args, callbacks, logger)

trainer/trainer.py:8

Method__init__

(self, args=None, label="positive", users=None)

datasets/twitter_submission_dataset.py:15

Method__init__

(self, args=None, kind="train")

datasets/submissions_dataset.py:20

Method__init__

(self, args, kind="train")

datasets/twitter.py:24

Method__init__

(self, args, kind="train")

datasets/reddit.py:24

Method__init__

(self, args, model)

evaluators/multimodal_evaluator.py:18

Method__init__

(self, args, model)

evaluators/base_evaluator.py:5

models/multimodal_transformer.py:9

Method__init__

(self, args)

models/singlemodal_transformer.py:9

Method__init__

(self, args, ctx_dim=None)

models/layers/attention.py:35

Method__init__

(self, args)

models/layers/attention.py:101

Method__init__

(self, args)

models/layers/attention.py:123

Method__init__

(self, args)

models/layers/attention.py:139

Method__init__

(self, args)

models/layers/attention.py:154

Method__init__

(self, args)

models/layers/attention.py:172

Method__init__

(self)

loggers/wandb_logger.py:5

Method__len__

(self)

datasets/twitter_submission_dataset.py:27

Method__len__

(self)

datasets/submissions_dataset.py:32

Method__len__

(self)

datasets/time_dataset.py:11

Method__len__

(self)

datasets/twitter.py:66

Method_g

(self, times)

models/singlemodal_transformer.py:55

Methodconfigure_optimizers

(self, lr=0.1)

particular_model_trainers/acumen_trainer.py:6

Methodforward

(self, text_embeddings, text_mask, image_embeddings, image_mask, time)

scripts/error_analysis.py:117

models/time2vec.py:31

Methodforward

(self, batch)

models/multimodal_transformer.py:60

Methodforward

(self, batch)

models/singlemodal_transformer.py:58

Methodforward

(self, hidden_states, input_tensor)

models/layers/attention.py:24

Methodforward

(self, hidden_states, context, attention_mask=None)

models/layers/attention.py:67

Methodforward

(self, hidden_states, input_tensor)

models/layers/attention.py:115

Methodforward

(self, input_tensor, attention_mask)

models/layers/attention.py:131

Methodforward

(self, input_tensor, ctx_tensor, ctx_att_mask=None)

models/layers/attention.py:147

Methodforward

(self, hidden_states)

models/layers/attention.py:165

Methodforward

(self, lang_feats, lang_attention_mask, visn_feats, visn_attention_mask)

models/layers/attention.py:216

Functiongelu

(x)

models/layers/attention.py:6

Functionmake_dataset_with_posts_and_images

(users, labels, kind="train")

scripts/make_oficial_dataset.py:84

Functionmake_official_dataset

(users, labels, kind="train")

scripts/make_oficial_dataset.py:24

Methodon_batch_end

(self)

callbacks/lambda_callback.py:34

Methodon_batch_start

(self)

callbacks/lambda_callback.py:30

Methodon_epoch_end

(self)

callbacks/lambda_callback.py:22

Methodon_epoch_end

(self)

callbacks/model_checkpoint.py:27

Methodon_epoch_end

(self)

callbacks/early_stopping.py:20

Methodon_epoch_start

(self)

callbacks/lambda_callback.py:26

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