Index

A

AlwaysAnomalous (class in dtaianomaly.anomaly_detection.baselines) AlwaysNormal (class in dtaianomaly.anomaly_detection.baselines)

AreaUnderPR (class in dtaianomaly.evaluation) AreaUnderROC (class in dtaianomaly.evaluation)

B

BaseDetector (class in dtaianomaly.anomaly_detection)

BinaryMetric (class in dtaianomaly.evaluation)

C

cache_ (dtaianomaly.data.LazyDataLoader attribute) ChainedPreprocessor (class in dtaianomaly.preprocessing)

check_preprocessing_inputs() (dtaianomaly.preprocessing method) compute() (dtaianomaly.evaluation.Metric method) ContaminationRate (class in dtaianomaly.thresholding)

D

DataSet (class in dtaianomaly.data) decision_function() (dtaianomaly.anomaly_detection.BaseDetector method) (dtaianomaly.anomaly_detection.baselines.AlwaysAnomalous method) (dtaianomaly.anomaly_detection.baselines.AlwaysNormal method) (dtaianomaly.anomaly_detection.baselines.RandomDetector method) (dtaianomaly.anomaly_detection.IsolationForest method) (dtaianomaly.anomaly_detection.LocalOutlierFactor method) (dtaianomaly.anomaly_detection.MatrixProfileDetector method) (dtaianomaly.anomaly_detection.MedianMethod method) (dtaianomaly.pipeline.Pipeline method) demonstration_time_series() (in module dtaianomaly.data) detector_ (dtaianomaly.anomaly_detection.IsolationForest attribute) (dtaianomaly.anomaly_detection.LocalOutlierFactor attribute) Differencing (class in dtaianomaly.preprocessing) dtaianomaly.anomaly_detection module

dtaianomaly.data module dtaianomaly.evaluation module dtaianomaly.pipeline module dtaianomaly.preprocessing module dtaianomaly.thresholding module dtaianomaly.visualization module dtaianomaly.workflow module

E

EvaluationPipeline (class in dtaianomaly.pipeline)

ExponentialMovingAverage (class in dtaianomaly.preprocessing)

F

FBeta (class in dtaianomaly.evaluation) fit() (dtaianomaly.anomaly_detection.BaseDetector method) (dtaianomaly.anomaly_detection.baselines.AlwaysAnomalous method) (dtaianomaly.anomaly_detection.baselines.AlwaysNormal method) (dtaianomaly.anomaly_detection.baselines.RandomDetector method) (dtaianomaly.anomaly_detection.IsolationForest method) (dtaianomaly.anomaly_detection.LocalOutlierFactor method) (dtaianomaly.anomaly_detection.MatrixProfileDetector method) (dtaianomaly.anomaly_detection.MedianMethod method) (dtaianomaly.pipeline.Pipeline method) (dtaianomaly.preprocessing.Preprocessor method)

fit_transform() (dtaianomaly.preprocessing.Preprocessor method) FixedCutoff (class in dtaianomaly.thresholding) from_directory() (in module dtaianomaly.data)

I

Identity (class in dtaianomaly.preprocessing)

interpret_config() (in module dtaianomaly.workflow) IsolationForest (class in dtaianomaly.anomaly_detection)

L

LazyDataLoader (class in dtaianomaly.data) load() (dtaianomaly.data.LazyDataLoader method)

load_detector() (in module dtaianomaly.anomaly_detection) LocalOutlierFactor (class in dtaianomaly.anomaly_detection)

M

make_sine_wave() (in module dtaianomaly.data) MatrixProfileDetector (class in dtaianomaly.anomaly_detection) max_ (dtaianomaly.preprocessing.MinMaxScaler attribute) mean_ (dtaianomaly.preprocessing.ZNormalizer attribute) MedianMethod (class in dtaianomaly.anomaly_detection) Metric (class in dtaianomaly.evaluation) min_ (dtaianomaly.preprocessing.MinMaxScaler attribute) MinMaxScaler (class in dtaianomaly.preprocessing) module dtaianomaly.anomaly_detection dtaianomaly.data dtaianomaly.evaluation dtaianomaly.pipeline dtaianomaly.preprocessing dtaianomaly.thresholding dtaianomaly.visualization dtaianomaly.workflow

MovingAverage (class in dtaianomaly.preprocessing)

N

NbSamplesUnderSampler (class in dtaianomaly.preprocessing)

P

PiecewiseAggregateApproximation (class in dtaianomaly.preprocessing) Pipeline (class in dtaianomaly.pipeline) plot_time_series_colored_by_score() (in module dtaianomaly.visualization)

Precision (class in dtaianomaly.evaluation) predict_proba() (dtaianomaly.anomaly_detection.BaseDetector method) Preprocessor (class in dtaianomaly.preprocessing) ProbaMetric (class in dtaianomaly.evaluation)

R

RandomDetector (class in dtaianomaly.anomaly_detection.baselines) Recall (class in dtaianomaly.evaluation)

reverse_sliding_window() (in module dtaianomaly.anomaly_detection) run() (dtaianomaly.pipeline.EvaluationPipeline method) (dtaianomaly.workflow.Workflow method)

S

SamplingRateUnderSampler (class in dtaianomaly.preprocessing) save() (dtaianomaly.anomaly_detection.BaseDetector method)

sliding_window() (in module dtaianomaly.anomaly_detection) std_ (dtaianomaly.preprocessing.ZNormalizer attribute)

T

threshold() (dtaianomaly.thresholding.ContaminationRate method) (dtaianomaly.thresholding.FixedCutoff method) (dtaianomaly.thresholding.Thresholding method) (dtaianomaly.thresholding.TopN method)

Thresholding (class in dtaianomaly.thresholding) ThresholdMetric (class in dtaianomaly.evaluation) TopN (class in dtaianomaly.thresholding) transform() (dtaianomaly.preprocessing.Preprocessor method)

U

UCRLoader (class in dtaianomaly.data)

W

Workflow (class in dtaianomaly.workflow)

workflow_from_config() (in module dtaianomaly.workflow)

X

X_reference_ (dtaianomaly.anomaly_detection.MatrixProfileDetector attribute)

Z

ZNormalizer (class in dtaianomaly.preprocessing)