SYMBOL INDEX (248 symbols across 65 files)

FILE: week_0_project_setup/data.py
  class DataModule (line 9) | class DataModule(pl.LightningDataModule):
    method __init__ (line 10) | def __init__(self, model_name="google/bert_uncased_L-2_H-128_A-2", bat...
    method prepare_data (line 16) | def prepare_data(self):
    method tokenize_data (line 21) | def tokenize_data(self, example):
    method setup (line 29) | def setup(self, stage=None):
    method train_dataloader (line 42) | def train_dataloader(self):
    method val_dataloader (line 47) | def val_dataloader(self):

FILE: week_0_project_setup/inference.py
  class ColaPredictor (line 6) | class ColaPredictor:
    method __init__ (line 7) | def __init__(self, model_path):
    method predict (line 16) | def predict(self, text):

FILE: week_0_project_setup/model.py
  class ColaModel (line 9) | class ColaModel(pl.LightningModule):
    method __init__ (line 10) | def __init__(self, model_name="google/bert_uncased_L-2_H-128_A-2", lr=...
    method forward (line 18) | def forward(self, input_ids, attention_mask):
    method training_step (line 25) | def training_step(self, batch, batch_idx):
    method validation_step (line 31) | def validation_step(self, batch, batch_idx):
    method configure_optimizers (line 40) | def configure_optimizers(self):

FILE: week_0_project_setup/train.py
  function main (line 10) | def main():

FILE: week_1_wandb_logging/data.py
  class DataModule (line 9) | class DataModule(pl.LightningDataModule):
    method __init__ (line 10) | def __init__(self, model_name="google/bert_uncased_L-2_H-128_A-2", bat...
    method prepare_data (line 16) | def prepare_data(self):
    method tokenize_data (line 21) | def tokenize_data(self, example):
    method setup (line 29) | def setup(self, stage=None):
    method train_dataloader (line 44) | def train_dataloader(self):
    method val_dataloader (line 49) | def val_dataloader(self):

FILE: week_1_wandb_logging/inference.py
  class ColaPredictor (line 6) | class ColaPredictor:
    method __init__ (line 7) | def __init__(self, model_path):
    method predict (line 16) | def predict(self, text):

FILE: week_1_wandb_logging/model.py
  class ColaModel (line 13) | class ColaModel(pl.LightningModule):
    method __init__ (line 14) | def __init__(self, model_name="google/bert_uncased_L-2_H-128_A-2", lr=...
    method forward (line 34) | def forward(self, input_ids, attention_mask, labels=None):
    method training_step (line 40) | def training_step(self, batch, batch_idx):
    method validation_step (line 51) | def validation_step(self, batch, batch_idx):
    method validation_epoch_end (line 76) | def validation_epoch_end(self, outputs):
    method configure_optimizers (line 109) | def configure_optimizers(self):

FILE: week_1_wandb_logging/train.py
  class SamplesVisualisationLogger (line 13) | class SamplesVisualisationLogger(pl.Callback):
    method __init__ (line 14) | def __init__(self, datamodule):
    method on_validation_end (line 19) | def on_validation_end(self, trainer, pl_module):
  function main (line 40) | def main():

FILE: week_2_hydra_config/data.py
  class DataModule (line 9) | class DataModule(pl.LightningDataModule):
    method __init__ (line 10) | def __init__(
    method prepare_data (line 22) | def prepare_data(self):
    method tokenize_data (line 27) | def tokenize_data(self, example):
    method setup (line 35) | def setup(self, stage=None):
    method train_dataloader (line 50) | def train_dataloader(self):
    method val_dataloader (line 55) | def val_dataloader(self):

FILE: week_2_hydra_config/inference.py
  class ColaPredictor (line 6) | class ColaPredictor:
    method __init__ (line 7) | def __init__(self, model_path):
    method predict (line 16) | def predict(self, text):

FILE: week_2_hydra_config/model.py
  class ColaModel (line 15) | class ColaModel(pl.LightningModule):
    method __init__ (line 16) | def __init__(self, model_name="google/bert_uncased_L-2_H-128_A-2", lr=...
    method forward (line 36) | def forward(self, input_ids, attention_mask, labels=None):
    method training_step (line 42) | def training_step(self, batch, batch_idx):
    method validation_step (line 53) | def validation_step(self, batch, batch_idx):
    method validation_epoch_end (line 78) | def validation_epoch_end(self, outputs):
    method configure_optimizers (line 111) | def configure_optimizers(self):

FILE: week_2_hydra_config/train.py
  class SamplesVisualisationLogger (line 19) | class SamplesVisualisationLogger(pl.Callback):
    method __init__ (line 20) | def __init__(self, datamodule):
    method on_validation_end (line 25) | def on_validation_end(self, trainer, pl_module):
  function main (line 47) | def main(cfg):

FILE: week_3_dvc/data.py
  class DataModule (line 8) | class DataModule(pl.LightningDataModule):
    method __init__ (line 9) | def __init__(
    method prepare_data (line 21) | def prepare_data(self):
    method tokenize_data (line 26) | def tokenize_data(self, example):
    method setup (line 34) | def setup(self, stage=None):
    method train_dataloader (line 49) | def train_dataloader(self):
    method val_dataloader (line 54) | def val_dataloader(self):

FILE: week_3_dvc/inference.py
  class ColaPredictor (line 6) | class ColaPredictor:
    method __init__ (line 7) | def __init__(self, model_path):
    method predict (line 16) | def predict(self, text):

FILE: week_3_dvc/model.py
  class ColaModel (line 15) | class ColaModel(pl.LightningModule):
    method __init__ (line 16) | def __init__(self, model_name="google/bert_uncased_L-2_H-128_A-2", lr=...
    method forward (line 36) | def forward(self, input_ids, attention_mask, labels=None):
    method training_step (line 42) | def training_step(self, batch, batch_idx):
    method validation_step (line 53) | def validation_step(self, batch, batch_idx):
    method validation_epoch_end (line 78) | def validation_epoch_end(self, outputs):
    method configure_optimizers (line 111) | def configure_optimizers(self):

FILE: week_3_dvc/train.py
  class SamplesVisualisationLogger (line 19) | class SamplesVisualisationLogger(pl.Callback):
    method __init__ (line 20) | def __init__(self, datamodule):
    method on_validation_end (line 25) | def on_validation_end(self, trainer, pl_module):
  function main (line 47) | def main(cfg):

FILE: week_4_onnx/convert_model_to_onnx.py
  function convert_model (line 14) | def convert_model(cfg):

FILE: week_4_onnx/data.py
  class DataModule (line 9) | class DataModule(pl.LightningDataModule):
    method __init__ (line 10) | def __init__(
    method prepare_data (line 22) | def prepare_data(self):
    method tokenize_data (line 27) | def tokenize_data(self, example):
    method setup (line 35) | def setup(self, stage=None):
    method train_dataloader (line 50) | def train_dataloader(self):
    method val_dataloader (line 55) | def val_dataloader(self):

FILE: week_4_onnx/inference.py
  class ColaPredictor (line 7) | class ColaPredictor:
    method __init__ (line 8) | def __init__(self, model_path):
    method predict (line 18) | def predict(self, text):

FILE: week_4_onnx/inference_onnx.py
  class ColaONNXPredictor (line 9) | class ColaONNXPredictor:
    method __init__ (line 10) | def __init__(self, model_path):
    method predict (line 16) | def predict(self, text):

FILE: week_4_onnx/model.py
  class ColaModel (line 15) | class ColaModel(pl.LightningModule):
    method __init__ (line 16) | def __init__(self, model_name="google/bert_uncased_L-2_H-128_A-2", lr=...
    method forward (line 36) | def forward(self, input_ids, attention_mask, labels=None):
    method training_step (line 42) | def training_step(self, batch, batch_idx):
    method validation_step (line 53) | def validation_step(self, batch, batch_idx):
    method validation_epoch_end (line 78) | def validation_epoch_end(self, outputs):
    method configure_optimizers (line 111) | def configure_optimizers(self):

FILE: week_4_onnx/train.py
  class SamplesVisualisationLogger (line 19) | class SamplesVisualisationLogger(pl.Callback):
    method __init__ (line 20) | def __init__(self, datamodule):
    method on_validation_end (line 25) | def on_validation_end(self, trainer, pl_module):
  function main (line 47) | def main(cfg):

FILE: week_4_onnx/utils.py
  function timing (line 5) | def timing(f):

FILE: week_5_docker/app.py
  function home_page (line 8) | async def home_page():
  function get_prediction (line 13) | async def get_prediction(text: str):

FILE: week_5_docker/convert_model_to_onnx.py
  function convert_model (line 14) | def convert_model(cfg):

FILE: week_5_docker/data.py
  class DataModule (line 9) | class DataModule(pl.LightningDataModule):
    method __init__ (line 10) | def __init__(
    method prepare_data (line 22) | def prepare_data(self):
    method tokenize_data (line 27) | def tokenize_data(self, example):
    method setup (line 35) | def setup(self, stage=None):
    method train_dataloader (line 50) | def train_dataloader(self):
    method val_dataloader (line 55) | def val_dataloader(self):

FILE: week_5_docker/inference.py
  class ColaPredictor (line 7) | class ColaPredictor:
    method __init__ (line 8) | def __init__(self, model_path):
    method predict (line 18) | def predict(self, text):

FILE: week_5_docker/inference_onnx.py
  class ColaONNXPredictor (line 9) | class ColaONNXPredictor:
    method __init__ (line 10) | def __init__(self, model_path):
    method predict (line 16) | def predict(self, text):

FILE: week_5_docker/model.py
  class ColaModel (line 15) | class ColaModel(pl.LightningModule):
    method __init__ (line 16) | def __init__(self, model_name="google/bert_uncased_L-2_H-128_A-2", lr=...
    method forward (line 36) | def forward(self, input_ids, attention_mask, labels=None):
    method training_step (line 42) | def training_step(self, batch, batch_idx):
    method validation_step (line 53) | def validation_step(self, batch, batch_idx):
    method validation_epoch_end (line 78) | def validation_epoch_end(self, outputs):
    method configure_optimizers (line 111) | def configure_optimizers(self):

FILE: week_5_docker/train.py
  class SamplesVisualisationLogger (line 19) | class SamplesVisualisationLogger(pl.Callback):
    method __init__ (line 20) | def __init__(self, datamodule):
    method on_validation_end (line 25) | def on_validation_end(self, trainer, pl_module):
  function main (line 47) | def main(cfg):

FILE: week_5_docker/utils.py
  function timing (line 5) | def timing(f):

FILE: week_6_github_actions/app.py
  function home_page (line 8) | async def home_page():
  function get_prediction (line 13) | async def get_prediction(text: str):

FILE: week_6_github_actions/convert_model_to_onnx.py
  function convert_model (line 14) | def convert_model(cfg):

FILE: week_6_github_actions/data.py
  class DataModule (line 9) | class DataModule(pl.LightningDataModule):
    method __init__ (line 10) | def __init__(
    method prepare_data (line 22) | def prepare_data(self):
    method tokenize_data (line 27) | def tokenize_data(self, example):
    method setup (line 35) | def setup(self, stage=None):
    method train_dataloader (line 50) | def train_dataloader(self):
    method val_dataloader (line 55) | def val_dataloader(self):

FILE: week_6_github_actions/inference.py
  class ColaPredictor (line 7) | class ColaPredictor:
    method __init__ (line 8) | def __init__(self, model_path):
    method predict (line 18) | def predict(self, text):

FILE: week_6_github_actions/inference_onnx.py
  class ColaONNXPredictor (line 9) | class ColaONNXPredictor:
    method __init__ (line 10) | def __init__(self, model_path):
    method predict (line 16) | def predict(self, text):

FILE: week_6_github_actions/model.py
  class ColaModel (line 15) | class ColaModel(pl.LightningModule):
    method __init__ (line 16) | def __init__(self, model_name="google/bert_uncased_L-2_H-128_A-2", lr=...
    method forward (line 36) | def forward(self, input_ids, attention_mask, labels=None):
    method training_step (line 42) | def training_step(self, batch, batch_idx):
    method validation_step (line 53) | def validation_step(self, batch, batch_idx):
    method validation_epoch_end (line 78) | def validation_epoch_end(self, outputs):
    method configure_optimizers (line 111) | def configure_optimizers(self):

FILE: week_6_github_actions/train.py
  class SamplesVisualisationLogger (line 19) | class SamplesVisualisationLogger(pl.Callback):
    method __init__ (line 20) | def __init__(self, datamodule):
    method on_validation_end (line 25) | def on_validation_end(self, trainer, pl_module):
  function main (line 47) | def main(cfg):

FILE: week_6_github_actions/utils.py
  function timing (line 5) | def timing(f):

FILE: week_7_ecr/app.py
  function home_page (line 8) | async def home_page():
  function get_prediction (line 13) | async def get_prediction(text: str):

FILE: week_7_ecr/convert_model_to_onnx.py
  function convert_model (line 14) | def convert_model(cfg):

FILE: week_7_ecr/data.py
  class DataModule (line 9) | class DataModule(pl.LightningDataModule):
    method __init__ (line 10) | def __init__(
    method prepare_data (line 22) | def prepare_data(self):
    method tokenize_data (line 27) | def tokenize_data(self, example):
    method setup (line 35) | def setup(self, stage=None):
    method train_dataloader (line 50) | def train_dataloader(self):
    method val_dataloader (line 55) | def val_dataloader(self):

FILE: week_7_ecr/inference.py
  class ColaPredictor (line 7) | class ColaPredictor:
    method __init__ (line 8) | def __init__(self, model_path):
    method predict (line 18) | def predict(self, text):

FILE: week_7_ecr/inference_onnx.py
  class ColaONNXPredictor (line 9) | class ColaONNXPredictor:
    method __init__ (line 10) | def __init__(self, model_path):
    method predict (line 16) | def predict(self, text):

FILE: week_7_ecr/model.py
  class ColaModel (line 15) | class ColaModel(pl.LightningModule):
    method __init__ (line 16) | def __init__(self, model_name="google/bert_uncased_L-2_H-128_A-2", lr=...
    method forward (line 36) | def forward(self, input_ids, attention_mask, labels=None):
    method training_step (line 42) | def training_step(self, batch, batch_idx):
    method validation_step (line 53) | def validation_step(self, batch, batch_idx):
    method validation_epoch_end (line 78) | def validation_epoch_end(self, outputs):
    method configure_optimizers (line 111) | def configure_optimizers(self):

FILE: week_7_ecr/train.py
  class SamplesVisualisationLogger (line 19) | class SamplesVisualisationLogger(pl.Callback):
    method __init__ (line 20) | def __init__(self, datamodule):
    method on_validation_end (line 25) | def on_validation_end(self, trainer, pl_module):
  function main (line 47) | def main(cfg):

FILE: week_7_ecr/utils.py
  function timing (line 5) | def timing(f):

FILE: week_8_serverless/app.py
  function home_page (line 8) | async def home_page():
  function get_prediction (line 13) | async def get_prediction(text: str):

FILE: week_8_serverless/convert_model_to_onnx.py
  function convert_model (line 14) | def convert_model(cfg):

FILE: week_8_serverless/data.py
  class DataModule (line 9) | class DataModule(pl.LightningDataModule):
    method __init__ (line 10) | def __init__(
    method prepare_data (line 22) | def prepare_data(self):
    method tokenize_data (line 27) | def tokenize_data(self, example):
    method setup (line 35) | def setup(self, stage=None):
    method train_dataloader (line 50) | def train_dataloader(self):
    method val_dataloader (line 55) | def val_dataloader(self):

FILE: week_8_serverless/inference.py
  class ColaPredictor (line 7) | class ColaPredictor:
    method __init__ (line 8) | def __init__(self, model_path):
    method predict (line 18) | def predict(self, text):

FILE: week_8_serverless/inference_onnx.py
  class ColaONNXPredictor (line 9) | class ColaONNXPredictor:
    method __init__ (line 10) | def __init__(self, model_path):
    method predict (line 16) | def predict(self, text):

FILE: week_8_serverless/lambda_handler.py
  function lambda_handler (line 10) | def lambda_handler(event, context):

FILE: week_8_serverless/model.py
  class ColaModel (line 15) | class ColaModel(pl.LightningModule):
    method __init__ (line 16) | def __init__(self, model_name="google/bert_uncased_L-2_H-128_A-2", lr=...
    method forward (line 36) | def forward(self, input_ids, attention_mask, labels=None):
    method training_step (line 42) | def training_step(self, batch, batch_idx):
    method validation_step (line 53) | def validation_step(self, batch, batch_idx):
    method validation_epoch_end (line 78) | def validation_epoch_end(self, outputs):
    method configure_optimizers (line 111) | def configure_optimizers(self):

FILE: week_8_serverless/train.py
  class SamplesVisualisationLogger (line 19) | class SamplesVisualisationLogger(pl.Callback):
    method __init__ (line 20) | def __init__(self, datamodule):
    method on_validation_end (line 25) | def on_validation_end(self, trainer, pl_module):
  function main (line 47) | def main(cfg):

FILE: week_8_serverless/utils.py
  function timing (line 5) | def timing(f):

FILE: week_9_monitoring/app.py
  function home_page (line 8) | async def home_page():
  function get_prediction (line 13) | async def get_prediction(text: str):

FILE: week_9_monitoring/convert_model_to_onnx.py
  function convert_model (line 14) | def convert_model(cfg):

FILE: week_9_monitoring/data.py
  class DataModule (line 9) | class DataModule(pl.LightningDataModule):
    method __init__ (line 10) | def __init__(
    method prepare_data (line 22) | def prepare_data(self):
    method tokenize_data (line 27) | def tokenize_data(self, example):
    method setup (line 35) | def setup(self, stage=None):
    method train_dataloader (line 50) | def train_dataloader(self):
    method val_dataloader (line 55) | def val_dataloader(self):

FILE: week_9_monitoring/inference.py
  class ColaPredictor (line 7) | class ColaPredictor:
    method __init__ (line 8) | def __init__(self, model_path):
    method predict (line 18) | def predict(self, text):

FILE: week_9_monitoring/inference_onnx.py
  class ColaONNXPredictor (line 9) | class ColaONNXPredictor:
    method __init__ (line 10) | def __init__(self, model_path):
    method predict (line 16) | def predict(self, text):

FILE: week_9_monitoring/lambda_handler.py
  function lambda_handler (line 17) | def lambda_handler(event, context):

FILE: week_9_monitoring/model.py
  class ColaModel (line 15) | class ColaModel(pl.LightningModule):
    method __init__ (line 16) | def __init__(self, model_name="google/bert_uncased_L-2_H-128_A-2", lr=...
    method forward (line 36) | def forward(self, input_ids, attention_mask, labels=None):
    method training_step (line 42) | def training_step(self, batch, batch_idx):
    method validation_step (line 53) | def validation_step(self, batch, batch_idx):
    method validation_epoch_end (line 78) | def validation_epoch_end(self, outputs):
    method configure_optimizers (line 111) | def configure_optimizers(self):

FILE: week_9_monitoring/train.py
  class SamplesVisualisationLogger (line 19) | class SamplesVisualisationLogger(pl.Callback):
    method __init__ (line 20) | def __init__(self, datamodule):
    method on_validation_end (line 25) | def on_validation_end(self, trainer, pl_module):
  function main (line 47) | def main(cfg):

FILE: week_9_monitoring/utils.py
  function timing (line 5) | def timing(f):