Functions — github.com/affjljoo3581/Job-Recommend-Competition

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Functions41 in github.com/affjljoo3581/Job-Recommend-Competition

⨍ Functions 41 ◇ Types & classes 8

↓ 5 callersMethod__init__

(self, config: SiDConfig, use_attention: bool = True)

src/modeling.py:137

↓ 2 callersFunctionclean_know_data

( data: pd.DataFrame, data_type: int = 2017 )

preprocessing/cleaning/__init__.py:9

↓ 1 callersFunctionclean_know_2017

(data: pd.DataFrame)

preprocessing/cleaning/clean_know_2017.py:4

↓ 1 callersFunctionclean_know_2018

(data: pd.DataFrame)

preprocessing/cleaning/clean_know_2018.py:6

↓ 1 callersFunctionclean_know_2019

(data: pd.DataFrame)

preprocessing/cleaning/clean_know_2019.py:6

↓ 1 callersFunctionclean_know_2020

(data: pd.DataFrame)

preprocessing/cleaning/clean_know_2020.py:4

↓ 1 callersFunctionencode_categorical_data_with_vocabulary

Encode the categorical data by using vocabulary mapping. Args: train_data: The series (or array) of train dataset. test_data: The

preprocessing/encoding.py:76

↓ 1 callersFunctionencode_numerical_data_to_gauss_rank

Encode the numerical data by using rank-gauss method. Args: train_data: The series (or array) of train dataset. test_data: The se

preprocessing/encoding.py:9

↓ 1 callersFunctionencode_numerical_data_to_standard_normalization

Encode the numerical data by using standard normalization. Args: train_data: The series (or array) of train dataset. test_data: T

preprocessing/encoding.py:56

↓ 1 callersFunctionget_model_name

(config: DictConfig)

src/train.py:19

↓ 1 callersMethodget_parameter_groups

(self)

src/lightning.py:51

↓ 1 callersFunctionget_text_embeddings_from_input_embeddings

Calculate Transformer input embeddings. Args: model_name: The transformer model name. texts: The list of texts to be embedded.

preprocessing/text_embedding.py:47

↓ 1 callersFunctionget_text_embeddings_from_simcse

Calculate SimCSE text embeddings. Args: package_dir: The directory of simcse project. model_ckpt: The model checkpoint file of th

preprocessing/text_embedding.py:11

↓ 1 callersMethodinit_weights

(self, module: Optional[nn.Module] = None)

src/modeling.py:185

↓ 1 callersFunctionload_test_dataset

( dataset_filename: str, batch_size: int = 256 )

src/dataset.py:56

↓ 1 callersFunctionload_train_dataset

( config: DictConfig, )

src/dataset.py:10

↓ 1 callersFunctionmain

(args: argparse.Namespace)

preprocessing/preprocess.py:20

↓ 1 callersFunctionpredict

(args: argparse.Namespace)

src/predict.py:17

↓ 1 callersFunctiontrain

(config: DictConfig)

src/train.py:35

Method__init__

(self, config: DictConfig, model_kwargs: dict[str, Any])

src/lightning.py:15

Method__init__

(self, drop_path_prob: float = 0.1)

src/modeling.py:48

Method__init__

(self, config: SiDConfig)

src/modeling.py:62

Method__init__

(self, config: SiDConfig)

src/modeling.py:118

Method__init__

(self, config: SiDConfig)

src/modeling.py:174

Method__init__

(self, config: SiDConfig)

src/modeling.py:222

Methodconfigure_optimizers

(self)

src/lightning.py:44

Methodforward

(self, hidden_states: torch.Tensor)

src/modeling.py:52

Methodforward

( self, categorical_inputs: torch.Tensor, numerical_inputs: torch.Tensor, text

src/modeling.py:91

Methodforward

(self, hidden_states: torch.Tensor)

src/modeling.py:127

Methodforward

( self, input_embeddings: torch.Tensor, hidden_states: Optional[torch.Tensor] = None,

src/modeling.py:153

Methodforward

( self, categorical_inputs: torch.Tensor, numerical_inputs: torch.Tensor, text

src/modeling.py:201

Methodforward

( self, categorical_inputs: torch.Tensor, numerical_inputs: torch.Tensor, text

src/modeling.py:227

Functionisnumerical

(x: Any)

preprocessing/cleaning/clean_know_2018.py:12

Functionisnumerical

(x: Any)

preprocessing/cleaning/clean_know_2019.py:15

Methodnum_categorical_features

(self)

src/modeling.py:31

Methodnum_total_categories

(self)

src/modeling.py:27

Methodnum_total_features

(self)

src/modeling.py:35

Methodtotal_embedding_size

(self)

src/modeling.py:43

Methodtraining_step

(self, batch: tuple[torch.Tensor, ...], idx: int)

src/lightning.py:21

Methodvalidation_epoch_end

(self, outputs: list[tuple[torch.Tensor, torch.Tensor]])

src/lightning.py:34

Methodvalidation_step

( self, batch: tuple[torch.Tensor, ...], idx: int )

src/lightning.py:29