Index

_

__init__() (aml.data.ECGCorruptor method) (aml.data.GroupAllBatchSampler method) (aml.data.GroupBatchSampler method) (aml.data.HelperDataset method) (aml.data.MemoryDataset method) (aml.data.MyData method) (aml.data.NumpyLoader method) (aml.data.PTB_XL method) (aml.data.WrapperDataset method) (aml.model.AEModel method) (aml.model.BaseLightningModule method) (aml.model.GaussianMixPrior method) (aml.model.KDAttributeTree method) (aml.model.LambdaModule method) (aml.model.MLPModel method) (aml.model.ResNet1DModel method) (aml.model.StandardNormalPrior method) (aml.model.TransformerEncoderModel method) (aml.model.VAE method) (aml.model.VAEDecoder method) (aml.model.VAEEncoder method) (aml.model_selection.TensorboardLoad method) (aml.parallel.ParallelModelling method) (aml.parallel.ProgressParallel method) (aml.progress.PLTQDMProgressBar method) (aml.random.RandomState method) (aml.utils.ArgFake method)

A

AEModel (class in aml.model) aggregate_diagnostic() (aml.data.PTB_XL method) aml.array module aml.data module aml.dataframe module aml.metric module aml.model module

aml.model_selection module aml.parallel module aml.progress module aml.random module aml.utils module ArgFake (class in aml.utils) auc_precision_recall_curve() (in module aml.metric) audio() (aml.model_selection.TensorboardLoad method)

B

BaseLightningModule (class in aml.model)

batch_size (aml.data.NumpyLoader attribute)

C

configure_optimizers() (aml.model.BaseLightningModule method)

corrupt_sources (aml.data.ECGCorruptor property) countna() (in module aml.metric)

D

dataset (aml.data.NumpyLoader attribute) decode() (aml.model.VAEDecoder method) default() (aml.utils.NPEncoder method)

dirtree() (in module aml.utils) distributions() (aml.model_selection.TensorboardLoad method) download() (aml.data.PTB_XL method) drop_last (aml.data.NumpyLoader attribute)

E

ECGCorruptor (class in aml.data)

encode() (aml.model.VAEEncoder method)

F

fit() (aml.model.AEModel method) (aml.model.BaseLightningModule method) (aml.model.MLPModel method) (aml.model.ResNet1DModel method) (aml.model.TransformerEncoderModel method) flatten() (in module aml.array) format_mean_ci() (in module aml.metric) format_mean_iqr_missing() (in module aml.metric) format_mean_std() (in module aml.metric)

forward() (aml.model.AEModel method) (aml.model.GaussianMixPrior method) (aml.model.LambdaModule method) (aml.model.MLPModel method) (aml.model.ResNet1DModel method) (aml.model.StandardNormalPrior method) (aml.model.TransformerEncoderModel method) (aml.model.VAE method) (aml.model.VAEDecoder method) (aml.model.VAEEncoder method)

G

GaussianMixPrior (class in aml.model)

GroupAllBatchSampler (class in aml.data) GroupBatchSampler (class in aml.data)

H

HelperDataset (class in aml.data)

histograms() (aml.model_selection.TensorboardLoad method)

I

images() (aml.model_selection.TensorboardLoad method) init_predict_tqdm() (aml.progress.PLTQDMProgressBar method) init_sanity_tqdm() (aml.progress.PLTQDMProgressBar method) init_test_tqdm() (aml.progress.PLTQDMProgressBar method)

init_train_tqdm() (aml.progress.PLTQDMProgressBar method) init_validation_tqdm() (aml.progress.PLTQDMProgressBar method) interpolate_nans() (in module aml.dataframe) interquartile_range() (in module aml.metric)

K

KDAttributeTree (class in aml.model)

L

LambdaModule (class in aml.model) log_prob() (aml.model.GaussianMixPrior method) (aml.model.StandardNormalPrior method) (aml.model.VAEDecoder method) (aml.model.VAEEncoder method)

M

make_confusion_matrix() (in module aml.metric) make_input_roll() (in module aml.array) mean_confusion_matrix() (in module aml.metric) MemoryDataset (class in aml.data) MLPModel (class in aml.model) module aml.array aml.data aml.dataframe aml.metric aml.model aml.model_selection aml.parallel aml.progress aml.random aml.utils

module_from_file() (in module aml.utils) MyData (class in aml.data)

N

next() (aml.random.RandomState method) NPEncoder (class in aml.utils)

npv_score() (in module aml.metric) num_workers (aml.data.NumpyLoader attribute) NumpyLoader (class in aml.data)

O

on_train_epoch_start() (aml.progress.PLTQDMProgressBar method)

P

p_apply() (in module aml.parallel) p_map() (in module aml.parallel) ParallelModelling (class in aml.parallel) pin_memory (aml.data.NumpyLoader attribute) pin_memory_device (aml.data.NumpyLoader attribute) PLTQDMProgressBar (class in aml.progress) ppv_score() (in module aml.metric) predict() (aml.model.AEModel method) (aml.model.BaseLightningModule method) (aml.model.MLPModel method) (aml.model.ResNet1DModel method) (aml.model.TransformerEncoderModel method)

predict_proba() (aml.model.MLPModel method) (aml.model.ResNet1DModel method) (aml.model.TransformerEncoderModel method) predict_step() (aml.model.AEModel method) (aml.model.MLPModel method) (aml.model.ResNet1DModel method) (aml.model.TransformerEncoderModel method) prefetch_factor (aml.data.NumpyLoader attribute) print_progress() (aml.parallel.ProgressParallel method) ProgressParallel (class in aml.parallel) PTB_XL (class in aml.data)

Q

query() (aml.model.KDAttributeTree method)

query_ball_point() (aml.model.KDAttributeTree method)

R

RandomState (class in aml.random)

reconstruct() (aml.model.VAE method) ResNet1DModel (class in aml.model)

S

sample() (aml.model.GaussianMixPrior method) (aml.model.StandardNormalPrior method) (aml.model.VAE method) (aml.model.VAEDecoder method) (aml.model.VAEEncoder method) sampler (aml.data.NumpyLoader attribute) scalars() (aml.model_selection.TensorboardLoad method) sensitivity_score() (in module aml.metric)

sensitivity_specificity_ppv_npv() (in module aml.metric) sequential_samplers_sampler() (in module aml.data) single_diagnostic() (aml.data.PTB_XL static method) specificity_score() (in module aml.metric) split_sampler() (in module aml.data) StandardNormalPrior (class in aml.model) std_confusion_matrix() (in module aml.metric) stratification() (in module aml.array)

T

tags (aml.model_selection.TensorboardLoad property) TensorboardLoad (class in aml.model_selection) tensors() (aml.model_selection.TensorboardLoad method) time_interval_range() (in module aml.array) timeout (aml.data.NumpyLoader attribute) training (aml.model.GaussianMixPrior attribute) (aml.model.LambdaModule attribute) (aml.model.StandardNormalPrior attribute) (aml.model.VAE attribute) (aml.model.VAEDecoder attribute) (aml.model.VAEEncoder attribute)

training_step() (aml.model.AEModel method) (aml.model.MLPModel method) (aml.model.ResNet1DModel method) (aml.model.TransformerEncoderModel method) transform() (aml.model.AEModel method) TransformerEncoderModel (class in aml.model) type_func_dict (aml.model_selection.TensorboardLoad attribute)

V

VAE (class in aml.model) VAEDecoder (class in aml.model) VAEEncoder (class in aml.model)

validation_step() (aml.model.AEModel method) (aml.model.MLPModel method) (aml.model.ResNet1DModel method) (aml.model.TransformerEncoderModel method)

W

WrapperDataset (class in aml.data)