Index

B

BaseModel (class in dlex.torch.models)

C

ClassificationModel (class in dlex.torch.models)

config_class (dlex.torch.models.BaseModel attribute)

D

Dataset (class in dlex.datasets.torch)

DatasetBuilder (class in dlex.datasets) download_and_extract() (dlex.datasets.DatasetBuilder method)

E

evaluate() (dlex.datasets.DatasetBuilder method)

F

format_output() (dlex.datasets.DatasetBuilder method) (dlex.datasets.image.ImageDataset method)

G

get_loss() (dlex.torch.models.BaseModel method) (dlex.torch.models.ClassificationModel method)

get_processed_data_dir() (dlex.datasets.DatasetBuilder method) get_raw_data_dir() (dlex.datasets.DatasetBuilder method) get_working_dir() (dlex.datasets.DatasetBuilder method)

I

ImageDataset (class in dlex.datasets.image) infer() (dlex.torch.models.BaseModel method) (dlex.torch.models.ClassificationModel method)

input_shape() (dlex.datasets.image.ImageDataset property) (dlex.datasets.image.MNIST property) is_better_result() (dlex.datasets.DatasetBuilder static method)

M

maybe_download_and_extract() (dlex.datasets.DatasetBuilder method)

MNIST (class in dlex.datasets.image)

N

num_channels() (dlex.datasets.image.ImageDataset property) (dlex.datasets.image.MNIST property)

O

OptimizerConfig (class in dlex.configs)

P

PytorchImageDataset (class in dlex.datasets.image.torch)

S

shuffle() (dlex.datasets.torch.Dataset method)

T

TestConfig (class in dlex.configs)

TrainConfig (class in dlex.configs)