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Functions496 in github.com/Nemexur/revisit-bpr

⨍ Functions 496◇ Types & classes 87↳ Endpoints 1
↓ 1 callersMethod_seed_everything
(self)
experiments/libraries/lightfm/exp.py:163
↓ 1 callersMethod_seed_everything
(self)
experiments/libraries/cornac/exp.py:162
↓ 1 callersMethod_seed_everything
(self)
experiments/libraries/recbole/exp.py:162
↓ 1 callersMethod_seed_everything
(self)
experiments/libraries/implicit/exp.py:163
↓ 1 callersMethod_seed_everything
(self)
experiments/multae/exp.py:211
↓ 1 callersMethod_seed_everything
(self)
experiments/ease/exp.py:153
↓ 1 callersMethod_seed_everything
(self)
experiments/bpr/exp.py:274
↓ 1 callersMethod_seed_everything
(self)
experiments/popularity/exp.py:182
↓ 1 callersMethod_sparse_dataset
(self, path: str | Path)
experiments/libraries/lightfm/exp.py:171
↓ 1 callersMethod_sparse_dataset
(self, path: str | Path)
experiments/libraries/implicit/exp.py:171
↓ 1 callersMethod_sparse_dataset
(self, path: str | Path)
experiments/ease/exp.py:168
↓ 1 callersMethod_sparse_matrix
(self, path: Path | str, num_users: int, num_items: int)
example.py:61
↓ 1 callersMethod_sparse_matrix
(self, path: Path | str, num_users: int, num_items: int)
experiments/bpr/dataset.py:132
↓ 1 callersMethod_sparse_matrix
(self, path: Path | str, num_users: int, num_items: int)
experiments/bpr/dataset.py:183
↓ 1 callersMethod_static_sampling
(self, batch: dict[str, torch.Tensor], num: int = 1)
experiments/bpr/exp.py:290
↓ 1 callersMethod_trap_signals
(self)
experiments/decorator.py:87
↓ 1 callersMethod_update_adaptive_stats
(self)
experiments/bpr/exp.py:345
↓ 1 callersMethod_user_metrics_saver
( self, model: Recommender, dir: Path, train_set: Dataset, test_set: D
experiments/libraries/cornac/exp.py:135
↓ 1 callersMethod_user_metrics_saver
( self, loader: DataLoader, recbole_dataset: Dataset, metrics: dict[str, Metric] )
experiments/libraries/recbole/exp.py:135
↓ 1 callersFunctionattach_adam_momentum_saver
( trainer: Trainer, accelerator: Accelerator, log_freq: int = 1000 )
experiments/bpr/exp.py:408
↓ 1 callersFunctionattach_early_stopping
( trainer: Trainer, metric_name: str, patience: int = 10, direction: Literal["min", "max"] = "
experiments/options.py:166
↓ 1 callersFunctionchain_when_then
(chain: Iterable[tuple[pl.Expr, pl.Expr]], otherwise: pl.Expr)
experiments/bpr/cmd/build_datasets.py:15
↓ 1 callersMethodclean
(self)
experiments/s3_infer.py:65
↓ 1 callersMethodcompute
(self, output: torch.Tensor, target: torch.Tensor)
revisit_bpr/metrics/recall.py:44
↓ 1 callersMethodcompute
( self, output: torch.Tensor, _: torch.Tensor, mask: torch.Tensor | None = None )
revisit_bpr/metrics/auc.py:36
↓ 1 callersMethodcompute
( self, output: torch.Tensor, target: torch.Tensor, mask: torch.Tensor | None = None )
revisit_bpr/metrics/auc.py:88
↓ 1 callersMethodcompute
( self, output: torch.Tensor, target: torch.Tensor, mask: torch.Tensor | None = None )
revisit_bpr/metrics/auc.py:149
↓ 1 callersMethodcompute
(self, output: torch.Tensor, target: torch.Tensor)
revisit_bpr/metrics/fbeta.py:52
↓ 1 callersMethodcompute
(self, output: torch.Tensor, target: torch.Tensor)
revisit_bpr/metrics/ndcg.py:69
↓ 1 callersMethodcompute
(self, output: torch.Tensor, target: torch.Tensor)
revisit_bpr/metrics/precision.py:44
↓ 1 callersFunctionearly_stopping_direction_option
Add early-stopping-direction option to CLI command. Parameters ---------- f: Callable Click command/group. Returns
experiments/click_options.py:603
↓ 1 callersFunctionearly_stopping_metric_option
Add early-stopping-metric option to CLI command. Parameters ---------- name: Optional[str] (default = None) Default metric f
experiments/click_options.py:536
↓ 1 callersFunctionearly_stopping_patience_option
Add early-stopping-patience option to CLI command. Parameters ---------- f: Callable Click command/group. Returns -
experiments/click_options.py:571
↓ 1 callersFunctioneval
( model: BPR, accelerator: Accelerator, loader: DataLoader, metrics: dict[str, Metric], )
example.py:196
↓ 1 callersFunctionfilter_triplets
Filters a DataFrame. Args: tp: a DataFrame of (movieId, userId, rating) triplets. min_uc: filter out users with fewer than min_uc rat
experiments/datasets/revisit-ials/generate_data.py:37
↓ 1 callersFunctionget_step
()
experiments/options.py:279
↓ 1 callersFunctionhandler
(engine: Engine, accelerator: Accelerator)
experiments/run.py:56
↓ 1 callersFunctionhandler
(engine: Engine, exc: Exception | None = None)
experiments/options.py:54
↓ 1 callersMethodinit_env
(self, local_rank: int, world_size: int)
experiments/launcher.py:59
↓ 1 callersMethodinterrupt
(self)
experiments/decorator.py:45
↓ 1 callersMethodinterrupt
(self)
experiments/decorator.py:84
↓ 1 callersMethodis_empty
(self)
experiments/encoder.py:37
↓ 1 callersMethodload
(self, path: Path)
experiments/encoder.py:49
↓ 1 callersMethodload
(self, s3_client)
experiments/s3/fs.py:28
↓ 1 callersFunctionmain
( dataset_path: Path, num_users: int, num_items: int, embedding_dim: int, batch_size: int,
example.py:246
↓ 1 callersFunctionmain
(state: State, config_path: Path)
experiments/run.py:53
↓ 1 callersFunctionmain
()
experiments/elliot.py:6
↓ 1 callersFunctionmain
(first: Path, second: Path, metrics: list[str])
experiments/ttest.py:31
↓ 1 callersFunctionmain
(state: State, config_path: Path)
experiments/infer.py:44
↓ 1 callersFunctionmain
( state: State, config_path: Path, s3_bucket: str, s3_access_key: str, s3_secret_key: str,
experiments/s3_infer.py:132
↓ 1 callersFunctionmain
( state: State, config_path: Path, s3_bucket: str, s3_access_key: str, s3_secret_key: str,
experiments/s3_run.py:137
↓ 1 callersFunctionmain
( dataset_path: Path, dst_dir: Path, rating_cutoff: float = 3.5, user_idx: str = "user", i
experiments/datasets/time-split/dataset.py:168
↓ 1 callersFunctionmain
()
experiments/datasets/revisit-ials/generate_data.py:178
↓ 1 callersFunctionmain
( dataset_path: Path, train_path: Path, eval_path: Path, encoders_dir: Path | None = None,
experiments/bpr/cmd/split.py:40
↓ 1 callersFunctionmain
( dataset_path: Path, dst: Path, encoders_dir: Path | None = None, dates: dict[str, str] | Non
experiments/bpr/cmd/build_datasets.py:42
↓ 1 callersFunctionmain
( dataset_path: Path, out: BytesIO, min_users: int = 5, min_items: int = 5, user_col: str
experiments/bpr/cmd/cutoff_samples.py:36
↓ 1 callersMethodoutput_size
(self)
revisit_bpr/modules/mlp.py:54
↓ 1 callersFunctionpick_users_items
( dataset: pl.LazyFrame, num_users: int, num_items: int, rng: np.random.Generator )
experiments/bpr/cmd/split.py:13
↓ 1 callersFunctionpreemptible_add_to_save
(path: Path, saver: Callable[[Path], None])
experiments/decorator.py:102
↓ 1 callersFunctionrecurse
(params: dict[str, Any], path: list[str])
experiments/utils.py:12
↓ 1 callersFunctionreduce_metrics_handler
()
experiments/options.py:53
↓ 1 callersMethodregister
(name: str, act: _ActivationFunc)
revisit_bpr/modules/activation.py:47
↓ 1 callersMethodregularization
(self, inputs: dict[str, torch.Tensor])
revisit_bpr/models/bpr/model.py:70
↓ 1 callersMethodreset
(self)
revisit_bpr/metrics/recall.py:59
↓ 1 callersMethodreset
(self)
revisit_bpr/metrics/auc.py:55
↓ 1 callersMethodreset
(self)
revisit_bpr/metrics/auc.py:116
↓ 1 callersMethodreset
(self)
revisit_bpr/metrics/auc.py:174
↓ 1 callersMethodreset
(self)
revisit_bpr/metrics/fbeta.py:68
↓ 1 callersMethodreset
(self)
revisit_bpr/metrics/ndcg.py:86
↓ 1 callersMethodreset
(self)
revisit_bpr/metrics/precision.py:59
↓ 1 callersMethodreset_parameters
(self)
revisit_bpr/models/bpr/model.py:117
↓ 1 callersMethodreset_parameters
(self)
revisit_bpr/models/bpr/model.py:169
↓ 1 callersMethodreset_parameters
(self)
revisit_bpr/models/bpr/model.py:212
↓ 1 callersMethodrun
(self)
experiments/s3_infer.py:50
↓ 1 callersMethodrun
( self, loaders: dict[str, DataLoader], max_iters: dict[str, int] | None = None,
experiments/trainer.py:49
↓ 1 callersFunctions3_save_handler
( s3fs: S3FS, dir: Path | None, clean: bool = False )
experiments/s3_infer.py:72
↓ 1 callersFunctionsample
(name: str, value: dict[str, Any])
experiments/utils.py:46
↓ 1 callersMethodsample
(self, batch: dict[str, torch.Tensor])
revisit_bpr/modules/neg_samplers.py:11
↓ 1 callersMethodsave
(self, path: Path)
experiments/encoder.py:40
↓ 1 callersFunctionsearch_hp_metric_option
Add search-hp-metric option to CLI command. Parameters ---------- name: Optional[str] (default = None) Metric to monitor for
experiments/click_options.py:342
↓ 1 callersFunctionsearch_hp_option
Add search-hp option to CLI command. Parameters ---------- f: Callable Click command/group. Returns ------- Cal
experiments/click_options.py:312
↓ 1 callersFunctionsearch_hp_prune_option
Add search-hp-prune option to CLI command. Parameters ---------- f: Callable Click command/group. Returns -------
experiments/click_options.py:506
↓ 1 callersFunctionsearch_hp_seed_option
Add search-hp-seed option to CLI command. Parameters ---------- f: Callable Click command/group. Returns -------
experiments/click_options.py:445
↓ 1 callersFunctionsearch_hp_storage_option
Add search-hp-storage option to CLI command. Parameters ---------- f: Callable Click command/group. Returns -------
experiments/click_options.py:377
↓ 1 callersFunctionsearch_hp_train_best_option
Add search-hp-train-best option to CLI command. Parameters ---------- f: Callable Click command/group. Returns ----
experiments/click_options.py:476
↓ 1 callersFunctionsearch_hp_trials_option
Add search-hp-trials option to CLI command. Parameters ---------- f: Callable Click command/group. Returns -------
experiments/click_options.py:413
↓ 1 callersFunctionseed_everything
(seed)
example.py:148
↓ 1 callersMethodspawn
(self, fn: Callable, *args)
experiments/launcher.py:50
↓ 1 callersFunctiontrain_one_epoch
( model: BPR, accelerator: Accelerator, optimizer: AcceleratedOptimizer, loader: DataLoader,
example.py:157
↓ 1 callersMethodtransform
(self, data: pd.DataFrame, decode: bool = False)
experiments/datasets/time-split/dataset.py:46
↓ 1 callersFunctiontrial_prunner_handler
()
experiments/run.py:55
↓ 1 callersFunctiontrial_prunner_handler
()
experiments/s3_run.py:146
↓ 1 callersFunctionunflatten_config
(config: dict[str, Any])
experiments/utils.py:24
↓ 1 callersMethodupload
(self, s3_client)
experiments/s3/fs.py:37
Method__call__
(self, instances: list[dict[str, Any]])
example.py:96
Method__call__
(self, value: Any)
experiments/decorator.py:25
Method__call__
(self, instances: list[dict[str, Any]])
experiments/libraries/recbole/dataset.py:109
Method__call__
(self, instances: list[dict[str, Any]])
experiments/libraries/recbole/dataset.py:143
Method__call__
(self, instances: list[dict[str, Any]])
experiments/multae/dataset.py:57
Method__call__
(self, instances: list[dict[str, Any]])
experiments/bpr/dataset.py:197
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