Index

A

Accuracy (class in labml_helpers.metrics.accuracy) AccuracyDirect (class in labml_helpers.metrics.accuracy) add() (in module labml.tracker) add_global_step() (in module labml.tracker)

add_model_savers() (in module labml.experiment) add_pytorch_models() (in module labml.experiment) add_sklearn_models() (in module labml.experiment) aggregate() (in module labml.configs) artifact_data() (in module labml.analytics)

B

BaseConfigs (class in labml.configs) BinaryAccuracy (class in labml_helpers.metrics.accuracy) binned_heatmap() (in module labml.analytics)

black (labml.logger.Color attribute) blue (labml.logger.Color attribute) bold (labml.logger.Style attribute)

C

cache() (in module labml.utils.cache) cache_get() (in module labml.utils.cache) cache_set() (in module labml.utils.cache) calculate() (in module labml.configs) CIFAR10Configs (class in labml_helpers.datasets.cifar10) Collector (class in labml_helpers.metrics.collector)

Color (class in labml.logger) configs() (in module labml.experiment) configure() (in module labml.lab) create() (in module labml.experiment) CsvDataset (class in labml_helpers.datasets.csv) cyan (labml.logger.Color attribute)

D

danger (labml.logger.Text attribute) DelayedKeyboardInterrupt (class in labml.utils.delayed_keyboard_interrupt) DeviceConfigs (class in labml_helpers.device) distributed() (in module labml.experiment)

distribution() (in module labml.analytics) download_file() (in module labml.utils.download) Dynamic (class in labml_helpers.schedule) DynamicHyperParam (class in labml.configs)

E

enum() (in module labml.monit)

evaluate() (in module labml.experiment) extract_tar() (in module labml.utils.download)

F

fail() (in module labml.monit) finish_loop() (in module labml.monit)

Flat (class in labml_helpers.schedule) FloatDynamicHyperParam (class in labml.configs) func() (in module labml.monit)

G

get_data_path() (in module labml.lab) get_device() (in module labml.utils.pytorch) get_experiments_path() (in module labml.lab) get_global_step() (in module labml.tracker)

get_modules() (in module labml.utils.pytorch) get_path() (in module labml.lab) get_run() (in module labml.analytics) get_uuid() (in module labml.experiment) green (labml.logger.Color attribute)

H

heading (labml.logger.Text attribute) highlight (labml.logger.Text attribute)

histogram() (in module labml.analytics) hyperparams() (in module labml.configs)

I

indicator_data() (in module labml.analytics) IndicatorCollection (class in labml.analytics)

inspect() (in module labml.logger) IntDynamicHyperParam (class in labml.configs) iterate() (in module labml.monit)

K

key (labml.logger.Text attribute)

L

labml.analytics module labml.configs module labml.experiment module labml.lab module labml.logger module labml.manage module labml.monit module

labml.tracker module LabMLFastAICallback (class in labml.utils.fastai) LabMLKerasCallback (class in labml.utils.keras) LabMLLightningLogger (class in labml.utils.lightning) light (labml.logger.Style attribute) link (labml.logger.Text attribute) load() (in module labml.experiment) (labml.experiment.ModelSaver method) load_bundle() (in module labml.experiment) load_configs() (in module labml.experiment) load_models() (in module labml.experiment) log() (in module labml.logger) loop() (in module labml.monit)

M

meta (labml.logger.Text attribute) meta2 (labml.logger.Text attribute) meta_config() (in module labml.configs) Metric (class in labml_helpers.metrics) mix() (in module labml.monit) MNISTConfigs (class in labml_helpers.datasets.mnist) ModelSaver (class in labml.experiment) module labml.analytics labml.configs labml.experiment labml.lab labml.logger labml.manage labml.monit labml.tracker

Module (class in labml_helpers.module)

N

namespace() (in module labml.tracker) new_line() (in module labml.tracker) new_run() (in module labml.manage) new_run_process() (in module labml.manage)

none (labml.logger.Color attribute) (labml.logger.Style attribute) (labml.logger.Text attribute) normal (labml.logger.Style attribute)

O

OptimizerConfigs (class in labml_helpers.optimizer)

option() (in module labml.configs) orange (labml.logger.Color attribute)

P

Piecewise (class in labml_helpers.schedule)

progress() (in module labml.monit) purple (labml.logger.Color attribute)

R

RecallPrecision (class in labml_helpers.metrics.recall_precision) record() (in module labml.experiment) red (labml.logger.Color attribute)

RelativePiecewise (class in labml_helpers.schedule) reset() (in module labml.tracker) runs() (in module labml.analytics)

S

save() (in module labml.tracker) (labml.experiment.ModelSaver method) save_bundle() (in module labml.experiment) save_checkpoint() (in module labml.experiment) save_numpy() (in module labml.experiment) scatter() (in module labml.analytics) Schedule (class in labml_helpers.schedule) section() (in module labml.monit) SeedConfigs (class in labml_helpers.seed) SequentialDataLoader (class in labml_helpers.datasets.text) SequentialUnBatchedDataset (class in labml_helpers.datasets.text) set_global_step() (in module labml.tracker) set_histogram() (in module labml.tracker) set_image() (in module labml.tracker) set_indexed_scalar() (in module labml.tracker) set_indexed_text() (in module labml.tracker)

set_preferred_db() (in module labml.analytics) set_queue() (in module labml.tracker) set_scalar() (in module labml.tracker) set_tensor() (in module labml.tracker) set_text() (in module labml.tracker) SimpleState (class in labml_helpers.metrics.simple_state) SimpleStateModule (class in labml_helpers.metrics.simple_state) SimpleTrainValidConfigs (class in labml_helpers.train_valid) start() (in module labml.experiment) StateModule (class in labml_helpers.metrics) store_model_indicators() (in module labml.utils.pytorch) store_optimizer_indicators() (in module labml.utils.pytorch) Style (class in labml.logger) StyleCode (class in labml.logger) subtle (labml.logger.Text attribute) success (labml.logger.Text attribute)

T

Text (class in labml.logger) TextDataset (class in labml_helpers.datasets.text) TextFileDataset (class in labml_helpers.datasets.text)

title (labml.logger.Text attribute) TrainingLoopConfigs (class in labml_helpers.training_loop) TrainValidConfigs (class in labml_helpers.train_valid)

U

underline (labml.logger.Style attribute)

V

value (labml.logger.Text attribute)

W

warning (labml.logger.Text attribute)

white (labml.logger.Color attribute)