Index

A

AdaptiveRandomForest (class in pyoe.OEBench.arf) ARFHoeffdingTree (class in pyoe.OEBench.arf)

ArmnetModel (class in pyoe.models.models) ARMNetModel (class in pyoe.OEBench.armnet)

B

backward() (pyoe.OEBench.entmax.EntmaxBisectFunction class method) (pyoe.OEBench.entmax.SparsemaxBisectFunction class method)

BaseDataloader (class in pyoe.dataloaders.base)

C

cal_loss() (pyoe.OEBench.ADBench.myutils.Utils method) calculate_loss() (pyoe.models.models.ArmnetModel method) (pyoe.models.models.GdbtModel method) (pyoe.models.models.MlpModel method) (pyoe.models.models.TabnetModel method) (pyoe.models.models.TreeModel method) ChronosModel (class in pyoe.models.models) ChronosPredictorNet (class in pyoe.models.networks)

classification_loss (class in pyoe.algorithms.loss) classification_loss_tree (class in pyoe.algorithms.loss) ClusterNet (class in pyoe.models.networks) ClusterTrainer (class in pyoe.algorithms.trainer) CluStreamModel (class in pyoe.models.models) CluStreamNet (class in pyoe.models.networks) create_tree() (pyoe.OEBench.arf.AdaptiveRandomForest method) create_trees() (pyoe.OEBench.arf.AdaptiveRandomForest method)

D

data_description() (pyoe.OEBench.ADBench.myutils.Utils method) Dataloader (class in pyoe.dataloaders.base) DataloaderWrapper (class in pyoe.dataloaders.base) DbStreamModel (class in pyoe.models.models)

DbStreamNet (class in pyoe.models.networks) DenStreamModel (class in pyoe.models.models) DenStreamNet (class in pyoe.models.networks) DriftDelayMetric (class in pyoe.metrics.metrics)

E

EffectivenessMetric (class in pyoe.metrics.metrics) Embedding (class in pyoe.OEBench.layers) entmax_bisect() (in module pyoe.OEBench.entmax)

EntmaxBisect (class in pyoe.OEBench.entmax) EntmaxBisectFunction (class in pyoe.OEBench.entmax) EWC (class in pyoe.OEBench.ewc) ewc_train() (in module pyoe.OEBench.ewc)

F

FactorizationMachine (class in pyoe.OEBench.layers) FcNet (class in pyoe.OEBench.model) feature_extractor() (pyoe.OEBench.armnet.ARMNetModel method) (pyoe.OEBench.model.FcNet method) fill() (pyoe.preprocessors.Preprocessor method) fill_missing_value() (in module pyoe.preprocessors) fit() (pyoe.models.networks.ChronosPredictorNet method) (pyoe.models.networks.ClusterNet method) (pyoe.OEBench.ADBench.baseline.PyOD.PYOD method) forward() (pyoe.models.networks.ChronosPredictorNet method) (pyoe.models.networks.ClusterNet method) (pyoe.models.networks.OutlierDetectorNet method) (pyoe.OEBench.armnet.ARMNetModel method) (pyoe.OEBench.armnet.SparseAttLayer method) (pyoe.OEBench.entmax.EntmaxBisect method) (pyoe.OEBench.entmax.EntmaxBisectFunction class method) (pyoe.OEBench.entmax.SparsemaxBisect method) (pyoe.OEBench.entmax.SparsemaxBisectFunction class method) (pyoe.OEBench.layers.Embedding method) (pyoe.OEBench.layers.FactorizationMachine method) (pyoe.OEBench.layers.Linear method) (pyoe.OEBench.layers.MLP method) (pyoe.OEBench.layers.MultiHeadAttention method) (pyoe.OEBench.layers.scaled_dot_prodct_attention_ method) (pyoe.OEBench.layers.SelfAttnLayer method) (pyoe.OEBench.model.FcNet method)

G

GdbtModel (class in pyoe.models.models) get_all_indices() (in module pyoe.OEBench.layers) get_data() (pyoe.dataloaders.base.BaseDataloader method) get_device() (pyoe.models.models.ModelTemplate method) (pyoe.OEBench.ADBench.myutils.Utils method) get_ensemble_number() (pyoe.models.models.ModelTemplate method) get_last_training_time() (pyoe.algorithms.trainer.TrainerTemplate method) get_meter_dataset() (pyoe.dataloaders.base.BaseDataloader static method) get_model_score() (pyoe.models.networks.OutlierDetectorNet method) get_model_type() (pyoe.models.models.ModelTemplate method) get_net() (pyoe.models.models.ModelTemplate method) get_net_ensemble() (pyoe.models.models.ModelTemplate method) get_num_columns() (pyoe.dataloaders.base.BaseDataloader method) get_num_samples() (pyoe.dataloaders.base.BaseDataloader method) get_oebench_datasets() (pyoe.dataloaders.base.BaseDataloader static method) get_oebench_representative_dataset() (pyoe.dataloaders.base.BaseDataloader static method) get_outlier() (pyoe.models.models.HSTreeDetectorModel method) (pyoe.models.models.LodaDetectorModel method) (pyoe.models.models.RrcfDetectorModel method) (pyoe.models.models.RShashDetectorModel method) (pyoe.models.models.XStreamDetectorModel method)

get_outlier_ratio() (pyoe.dataloaders.base.Dataloader method) get_outlier_with_stream_model() (pyoe.models.models.HSTreeDetectorModel method) (pyoe.models.models.LodaDetectorModel method) (pyoe.models.models.RrcfDetectorModel method) (pyoe.models.models.RShashDetectorModel method) (pyoe.models.models.XStreamDetectorModel method) get_output_dim() (pyoe.dataloaders.base.BaseDataloader method) get_target() (pyoe.dataloaders.base.BaseDataloader method) get_task() (pyoe.dataloaders.base.BaseDataloader method) get_triu_indices() (in module pyoe.OEBench.layers) grad_norm() (pyoe.OEBench.ADBench.myutils.Utils method) grid_hp() (pyoe.OEBench.ADBench.baseline.PyOD.PYOD method) grid_search() (pyoe.OEBench.ADBench.baseline.PyOD.PYOD method)

H

HSTreeDetectorModel (class in pyoe.models.models)

HSTreeDetectorNet (class in pyoe.models.networks)

I

IcarlTrainer (class in pyoe.algorithms.trainer)

init_weights() (pyoe.OEBench.arf.AdaptiveRandomForest method) is_randomizable() (pyoe.OEBench.arf.ARFHoeffdingTree static method)

L

learning_performance() (pyoe.OEBench.arf.AdaptiveRandomForest method) Linear (class in pyoe.OEBench.layers) load_data() (in module pyoe.dataloaders.pipeline) LodaDetectorModel (class in pyoe.models.models) LodaDetectorNet (class in pyoe.models.networks)

loss() (pyoe.algorithms.loss.classification_loss method) (pyoe.algorithms.loss.classification_loss_tree method) (pyoe.algorithms.loss.LossTemplate method) (pyoe.algorithms.loss.regression_loss method) (pyoe.algorithms.loss.regression_loss_tree method) LossTemplate (class in pyoe.algorithms.loss)

M

measure() (pyoe.metrics.metrics.DriftDelayMetric method) (pyoe.metrics.metrics.EffectivenessMetric method) (pyoe.metrics.metrics.MetricTemplate method) metric() (pyoe.OEBench.ADBench.myutils.Utils method) MetricTemplate (class in pyoe.metrics.metrics) MLP (class in pyoe.OEBench.layers) MlpModel (class in pyoe.models.models) ModelTemplate (class in pyoe.models.models) module pyoe pyoe.algorithms pyoe.algorithms.loss pyoe.algorithms.trainer pyoe.dataloaders pyoe.dataloaders.base pyoe.dataloaders.pipeline pyoe.metrics pyoe.metrics.metrics pyoe.models pyoe.models.models pyoe.models.networks pyoe.OEBench pyoe.OEBench.ADBench pyoe.OEBench.ADBench.baseline pyoe.OEBench.ADBench.baseline.PyOD pyoe.OEBench.ADBench.myutils pyoe.OEBench.arf pyoe.OEBench.armnet pyoe.OEBench.cluster pyoe.OEBench.entmax pyoe.OEBench.ewc pyoe.OEBench.layers pyoe.OEBench.model pyoe.preprocessors pyoe.utils

MultiHeadAttention (class in pyoe.OEBench.layers) MultiProcessTrainer (class in pyoe.algorithms.trainer)

N

NaiveTrainer (class in pyoe.algorithms.trainer)

normal_train() (in module pyoe.OEBench.ewc) normalize_adj() (in module pyoe.OEBench.layers)

O

outlier_detector_marker() (pyoe.models.networks.OutlierDetectorNet static method)

OutlierDetectorNet (class in pyoe.models.networks)

P

partial_fit() (pyoe.OEBench.arf.AdaptiveRandomForest method) penalty() (pyoe.OEBench.ewc.EWC method) plot_grad_flow() (pyoe.OEBench.ADBench.myutils.Utils method) predict() (pyoe.OEBench.arf.AdaptiveRandomForest method) predict_cluster() (pyoe.models.models.CluStreamModel method) (pyoe.models.models.DbStreamModel method) (pyoe.models.models.DenStreamModel method) (pyoe.models.models.StreamKMeansModel method) predict_forecast() (pyoe.models.models.ChronosModel method) predict_score() (pyoe.OEBench.ADBench.baseline.PyOD.PYOD method) Preprocessor (class in pyoe.preprocessors) process_model() (pyoe.models.models.ArmnetModel method) (pyoe.models.models.ChronosModel method) (pyoe.models.models.CluStreamModel method) (pyoe.models.models.DbStreamModel method) (pyoe.models.models.DenStreamModel method) (pyoe.models.models.GdbtModel method) (pyoe.models.models.HSTreeDetectorModel method) (pyoe.models.models.LodaDetectorModel method) (pyoe.models.models.MlpModel method) (pyoe.models.models.ModelTemplate method) (pyoe.models.models.RrcfDetectorModel method) (pyoe.models.models.RShashDetectorModel method) (pyoe.models.models.StreamKMeansModel method) (pyoe.models.models.TabnetModel method) (pyoe.models.models.TreeModel method) (pyoe.models.models.XStreamDetectorModel method) PYOD (class in pyoe.OEBench.ADBench.baseline.PyOD) pyoe module pyoe.algorithms module pyoe.algorithms.loss module pyoe.algorithms.trainer module pyoe.dataloaders module pyoe.dataloaders.base module

pyoe.dataloaders.pipeline module pyoe.metrics module pyoe.metrics.metrics module pyoe.models module pyoe.models.models module pyoe.models.networks module pyoe.OEBench module pyoe.OEBench.ADBench module pyoe.OEBench.ADBench.baseline module pyoe.OEBench.ADBench.baseline.PyOD module pyoe.OEBench.ADBench.myutils module pyoe.OEBench.arf module pyoe.OEBench.armnet module pyoe.OEBench.cluster module pyoe.OEBench.entmax module pyoe.OEBench.ewc module pyoe.OEBench.layers module pyoe.OEBench.model module pyoe.preprocessors module pyoe.utils module

R

regression_loss (class in pyoe.algorithms.loss) regression_loss_tree (class in pyoe.algorithms.loss) reset_parameters() (pyoe.OEBench.armnet.SparseAttLayer method) result_process() (pyoe.OEBench.ADBench.myutils.Utils method)

rf_tree_train() (pyoe.OEBench.arf.ARFHoeffdingTree method) RrcfDetectorModel (class in pyoe.models.models) RrcfDetectorNet (class in pyoe.models.networks) RShashDetectorModel (class in pyoe.models.models) RShashDetectorNet (class in pyoe.models.networks)

S

sampler() (pyoe.OEBench.ADBench.myutils.Utils method) sampler_2() (pyoe.OEBench.ADBench.myutils.Utils method) sampler_pairs() (pyoe.OEBench.ADBench.myutils.Utils method) scaled_dot_prodct_attention_ (class in pyoe.OEBench.layers) SelfAttnLayer (class in pyoe.OEBench.layers) set_seed() (pyoe.OEBench.ADBench.myutils.Utils method)

shingle() (in module pyoe.utils) SparseAttLayer (class in pyoe.OEBench.armnet) sparsemax_bisect() (in module pyoe.OEBench.entmax) SparsemaxBisect (class in pyoe.OEBench.entmax) SparsemaxBisectFunction (class in pyoe.OEBench.entmax) StreamKMeansModel (class in pyoe.models.models) StreamKMeansNet (class in pyoe.models.networks)

T

TabnetModel (class in pyoe.models.models) test() (in module pyoe.OEBench.ewc) TimeSeriesDataloader (class in pyoe.dataloaders.base) torch_cdf_loss() (pyoe.OEBench.ADBench.myutils.Utils method) train() (pyoe.algorithms.trainer.ClusterTrainer method) (pyoe.algorithms.trainer.IcarlTrainer method) (pyoe.algorithms.trainer.MultiProcessTrainer method) (pyoe.algorithms.trainer.NaiveTrainer method) (pyoe.algorithms.trainer.TrainerTemplate method) train_cluster() (pyoe.models.models.CluStreamModel method) (pyoe.models.models.DbStreamModel method) (pyoe.models.models.DenStreamModel method) (pyoe.models.models.StreamKMeansModel method)

train_forecast() (pyoe.models.models.ChronosModel method) train_icarl() (pyoe.models.models.ArmnetModel method) (pyoe.models.models.GdbtModel method) (pyoe.models.models.MlpModel method) (pyoe.models.models.TabnetModel method) (pyoe.models.models.TreeModel method) train_naive() (pyoe.models.models.ArmnetModel method) (pyoe.models.models.GdbtModel method) (pyoe.models.models.MlpModel method) (pyoe.models.models.TabnetModel method) (pyoe.models.models.TreeModel method) TrainerTemplate (class in pyoe.algorithms.trainer) TreeModel (class in pyoe.models.models)

U

unique() (pyoe.OEBench.ADBench.myutils.Utils method)

Utils (class in pyoe.OEBench.ADBench.myutils)

V

variable() (in module pyoe.OEBench.ewc)

X

XStreamDetectorModel (class in pyoe.models.models)

XStreamDetectorNet (class in pyoe.models.networks)