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Functions496 in github.com/Nemexur/revisit-bpr

⨍ Functions 496◇ Types & classes 87 ↳ Endpoints 1

experiments/libraries/recbole/dataset.py:27

experiments/multae/dataset.py:17

experiments/datasets/time-split/dataset.py:17

experiments/bpr/dataset.py:25

experiments/bpr/dataset.py:67

experiments/bpr/dataset.py:122

experiments/bpr/dataset.py:169

revisit_bpr/datasets/jsonl.py:26

Method__post_init__

experiments/encoder.py:16

Method__post_init__

experiments/datasets/time-split/dataset.py:14

revisit_bpr/modules/activation.py:40

Method_eval_step

(self, engine: Engine, batch: dict[str, torch.Tensor])

experiments/trainer.py:85

Method_is_preempted

experiments/decorator.py:66

Method_remove_seen_items

(self, engine: Engine)

experiments/libraries/lightfm/exp.py:156

Method_remove_seen_items

(self, engine: Engine)

experiments/libraries/implicit/exp.py:156

Method_remove_seen_items

(self, engine: Engine)

experiments/multae/exp.py:219

Method_remove_seen_items

(self, engine: Engine)

experiments/ease/exp.py:161

Method_remove_seen_items

(self, engine: Engine)

experiments/bpr/exp.py:369

Method_remove_seen_items

(self, engine: Engine)

experiments/popularity/exp.py:175

Method_reset_epoch

(self, engine: Engine)

experiments/trainer.py:131

Method_reset_loss_parts

(self, engine: Engine)

experiments/multae/exp.py:226

Method_reset_metrics

(self, engine: Engine)

experiments/bpr/exp.py:376

Method_run_eval

experiments/trainer.py:119

Method_run_local

(self, local_rank: int = -1, world_size: int = 1)

experiments/decorator.py:48

Method_signal_handler

(self, sig: int, _: FrameType | None)

experiments/decorator.py:91

Method_train_batch

(self, engine: Engine)

experiments/bpr/exp.py:357

Method_train_step

( self, engine: Engine, batch: dict[str, torch.Tensor] )

experiments/trainer.py:64

Method_update_iteration

(self, engine: Engine)

experiments/trainer.py:138

Method_update_loss

(self, engine: Engine)

experiments/trainer.py:141

Method_update_loss_parts

(self, engine: Engine, model: MultVAE)

experiments/multae/exp.py:234

Method_update_metrics

(self, engine: Engine)

experiments/bpr/exp.py:384

Methodaccelerator

revisit_bpr/metrics/metric.py:13

Functionanother_wrapper

(self: Metric, *args: Any, **kwargs: Any)

revisit_bpr/metrics/metric.py:67

Functioncallback

(ctx: click.Context, _: click.core.Parameter, value: str)

experiments/click_options.py:103

experiments/base.py:16

experiments/launcher.py:20

experiments/launcher.py:31

experiments/launcher.py:72

experiments/libraries/lightfm/exp.py:103

experiments/libraries/cornac/exp.py:99

experiments/libraries/recbole/exp.py:101

experiments/libraries/implicit/exp.py:103

experiments/multae/exp.py:118

experiments/ease/exp.py:101

experiments/bpr/exp.py:156

experiments/popularity/exp.py:106

Functionclearml_option

Add clearml option to CLI command. Parameters ---------- f: Callable Click command/group. Returns ------- Calla

experiments/click_options.py:247

Methodcollate_fn

(self, indices: list[int])

experiments/bpr/dataset.py:175

(self, output: torch.Tensor, target: torch.Tensor)

revisit_bpr/metrics/metric.py:34

( self, output: torch.Tensor, target: torch.Tensor, mask: torch.Tensor | None = None )

revisit_bpr/metrics/metric.py:58

Convert value to an appropriate representation. Parameters ---------- value: str Value assigned to a par

experiments/click_options.py:18

Functiondebug_option

Add debug option to CLI command. Parameters ---------- f: Callable Click command/group. Returns ------- Callabl

experiments/click_options.py:156

(self, id: int)

experiments/encoder.py:34

(self, data: Iterable[str | int], namespace: str)

experiments/datasets/time-split/dataset.py:36

Functiondir_option

Add dir option to CLI command. Parameters ---------- f: Callable Click command/group. Returns ------- Callable

experiments/click_options.py:123

Functionearly_stopping_options

Add options: - early-stopping-metric - early-stopping-patience - early-stopping-direction Parameters ---------- f: Calla

experiments/click_options.py:670

(self, item: Any)

experiments/encoder.py:31

Functionensure_device_handler

(engine: Engine)

experiments/options.py:129

Functionexp_dcg

Calculate `Exponential` gain function for `NDCG` Metric.

revisit_bpr/metrics/ndcg.py:8

Functionextra_vars_option

Add extra-vars option to CLI command. Parameters ---------- f: Callable Click command/group. Returns ------- Ca

experiments/click_options.py:277

(self, inputs: sps.coo_matrix | dict[str, torch.Tensor])

experiments/libraries/lightfm/model.py:30

(self, inputs: sps.csr_matrix | dict[str, torch.Tensor])

experiments/libraries/implicit/model.py:20

(self, t: torch.Tensor)

revisit_bpr/modules/mlp.py:44

( self, logits: torch.Tensor, target: torch.Tensor, weights: torch.Tensor = None )

revisit_bpr/models/ae/loss.py:9

(self, inputs: dict[str, torch.Tensor])

revisit_bpr/models/ae/multdae.py:33

(self, inputs: dict[str, torch.Tensor])

revisit_bpr/models/ae/multvae.py:68

(self, inputs: sps.csr_matrix | dict[str, torch.Tensor])

revisit_bpr/models/ease/model.py:18

(self, logits: torch.Tensor)

revisit_bpr/models/bpr/loss.py:19

(self, inputs: dict[str, torch.Tensor])

revisit_bpr/models/bpr/model.py:40

( self, user: torch.Tensor, item: torch.Tensor, _: dict[str, torch.Tensor] )

revisit_bpr/models/bpr/model.py:131

( self, _: torch.Tensor, item: torch.Tensor, other: dict[str, torch.Tensor] )

revisit_bpr/models/bpr/model.py:176

( self, _: torch.Tensor, item: torch.Tensor, other: dict[str, torch.Tensor] )

revisit_bpr/models/bpr/model.py:221

(self, inputs: dict[str, torch.Tensor])

revisit_bpr/models/popularity/model.py:18

Implementation of the gelu activation function. For information: OpenAI GPT's gelu is slightly different (and gives slightly different result

revisit_bpr/modules/activation.py:14

Methodget_features

revisit_bpr/models/bpr/model.py:9

Methodget_features

revisit_bpr/models/bpr/model.py:197

Methodget_features

revisit_bpr/models/bpr/model.py:250

Methodget_metric

Compute and return averaged metric. Optionally reset internal state if needed.

revisit_bpr/metrics/metric.py:38

Methodget_metric

(self, reset: bool = False)

revisit_bpr/metrics/recall.py:53

Methodget_metric

(self, reset: bool = False)

revisit_bpr/metrics/auc.py:49

Methodget_metric

(self, reset: bool = False)

revisit_bpr/metrics/auc.py:110

Methodget_metric

(self, reset: bool = False)

revisit_bpr/metrics/auc.py:168

Methodget_metric

(self, reset: bool = False)

revisit_bpr/metrics/fbeta.py:62

Methodget_metric

(self, reset: bool = False)

revisit_bpr/metrics/ndcg.py:80

Methodget_metric

(self, reset: bool = False)

revisit_bpr/metrics/precision.py:53

Functiongrads_hist_handler

(engine: Engine)

experiments/options.py:239

Functionhandler

(engine: Engine, accelerator: Accelerator)

experiments/s3_infer.py:75

Functionhandler

(engine: Engine, accelerator: Accelerator)

experiments/s3_run.py:80

(entry: os.DirEntry)

experiments/s3/fs.py:86

Functionhandler_with_exception

(engine: Engine, exc: Exception)

experiments/options.py:213

(self, local_rank: int, world_size: int)

experiments/launcher.py:16

experiments/launcher.py:28

Methodinput_size

revisit_bpr/modules/mlp.py:51

experiments/encoder.py:80

Methodinterrupt

experiments/base.py:19

Methodinterrupt

experiments/s3_infer.py:68

Methodinterrupt

experiments/s3_run.py:73

Methodinterrupt

experiments/libraries/lightfm/exp.py:99

Methodinterrupt

experiments/libraries/implicit/exp.py:99

Methodinterrupt

experiments/multae/exp.py:114

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