Index

_

__init__() (AddGaussianNoise method) (Autoencoder method) (Classifier method) (FileWithDirAsLabel method) (GoogleDriveDataset method) (KedroPytorchImageDataset method) (Patch method) (ResizePatches method) (TorchPickleModelDataset method) (TorchScriptModelDataset method)

A

AddGaussianNoise (class in fontr.fontr.transforms)

Autoencoder (class in fontr.fontr.autoencoder)

B

base_step() (Autoencoder method) (Classifier method)

C

Classifier (class in fontr.fontr.classifier) configure_optimizers() (Autoencoder method) (Classifier method)

create_pipeline() (in module fontr.pipelines.bcf_preprocessing.pipeline) (in module fontr.pipelines.data_processing.pipeline) (in module fontr.pipelines.data_science.pipeline)

D

decode() (Autoencoder method)

E

encode() (Autoencoder method) evaluate_autoencoder() (in module fontr.pipelines.data_science.nodes)

evaluate_classifier() (in module fontr.pipelines.data_science.nodes) exists() (GoogleDriveDataset method)

F

FileWithDirAsLabel (class in fontr.datasets) fontr module fontr.datasets module fontr.fontr module fontr.fontr.autoencoder module fontr.fontr.classifier module fontr.fontr.logger module fontr.fontr.transforms module fontr.pipeline_registry module fontr.pipelines module fontr.pipelines.bcf_preprocessing module

fontr.pipelines.bcf_preprocessing.nodes module fontr.pipelines.bcf_preprocessing.pipeline module fontr.pipelines.data_processing module fontr.pipelines.data_processing.nodes module fontr.pipelines.data_processing.pipeline module fontr.pipelines.data_science module fontr.pipelines.data_science.nodes module fontr.pipelines.data_science.pipeline module fontr.pipelines.nodes module fontr.settings module forward() (Autoencoder method) (Classifier method)

G

get_dataloader() (in module fontr.pipelines.data_science.nodes) get_label2idx_mapping() (in module fontr.pipelines.data_processing.nodes)

get_transforms() (in module fontr.pipelines.data_science.nodes) getLogger() (TorchLogger class method) GoogleDriveDataset (class in fontr.datasets)

K

KedroPytorchImageDataset (class in fontr.datasets)

L

labeled_images_split() (in module fontr.pipelines.data_processing.nodes)

logger (TorchLogger attribute)

M

module fontr fontr.datasets fontr.fontr fontr.fontr.autoencoder fontr.fontr.classifier fontr.fontr.logger fontr.fontr.transforms fontr.pipeline_registry fontr.pipelines fontr.pipelines.bcf_preprocessing fontr.pipelines.bcf_preprocessing.nodes fontr.pipelines.bcf_preprocessing.pipeline fontr.pipelines.data_processing fontr.pipelines.data_processing.nodes fontr.pipelines.data_processing.pipeline fontr.pipelines.data_science fontr.pipelines.data_science.nodes fontr.pipelines.data_science.pipeline fontr.pipelines.nodes fontr.settings

O

obtainCredentials() (TorchLogger class method)

P

Patch (class in fontr.fontr.transforms)

predict() (in module fontr.pipelines.data_science.nodes) predict_step() (Classifier method)

R

read_bcf_metadata() (in module fontr.pipelines.bcf_preprocessing.nodes) read_labels() (in module fontr.pipelines.bcf_preprocessing.nodes)

register_pipelines() (in module fontr.pipeline_registry) ResizePatches (class in fontr.fontr.transforms)

S

serialize_model_to_torch_jit() (in module fontr.pipelines.data_science.nodes)

set_random_state() (in module fontr.pipelines.nodes)

T

target_transform() (KedroPytorchImageDataset method) test_step() (Autoencoder method) (Classifier method) TorchLogger (class in fontr.fontr.logger) TorchPickleModelDataset (class in fontr.datasets)

TorchScriptModelDataset (class in fontr.datasets) train_autoencoder() (in module fontr.pipelines.data_science.nodes) train_classifier() (in module fontr.pipelines.data_science.nodes) training_step() (Autoencoder method) (Classifier method) transform() (KedroPytorchImageDataset method)

U

unlabeled_images_split() (in module fontr.pipelines.data_processing.nodes)

upload_bcf_as_png() (in module fontr.pipelines.bcf_preprocessing.nodes) upload_labels_as_csv() (in module fontr.pipelines.bcf_preprocessing.nodes)

V

validation_step() (Autoencoder method) (Classifier method)

W

with_transforms() (KedroPytorchImageDataset method)