Getting started
Installation
Examples
Time series anomaly detection benchmarks
Additional information
Changelog
Contributing to dtaianomaly
Documentation
Anomaly detection module
Data module
Evaluation module
Pipeline module
Preprocessing module
Thresholding module
Visualization module
Workflow module
dtaianomaly
Index
Index
A
|
B
|
C
|
D
|
E
|
F
|
H
|
I
|
K
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
U
|
W
|
X
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)
BestThresholdMetric (class in dtaianomaly.evaluation)
BinaryMetric (class in dtaianomaly.evaluation)
C
cache_ (dtaianomaly.data.LazyDataLoader attribute)
center_ (dtaianomaly.preprocessing.RobustScaler attribute)
ChainedPreprocessor (class in dtaianomaly.preprocessing)
check_is_valid() (dtaianomaly.data.DataSet static method)
check_is_valid_window_size() (in module dtaianomaly.anomaly_detection)
check_preprocessing_inputs() (dtaianomaly.preprocessing method)
ClusterBasedLocalOutlierFactor (class in dtaianomaly.anomaly_detection)
compatible_supervision() (dtaianomaly.data.DataSet method)
compute() (dtaianomaly.evaluation.Metric method)
compute_window_size() (in module dtaianomaly.anomaly_detection)
ContaminationRate (class in dtaianomaly.thresholding)
CopulaBasedOutlierDetector (class in dtaianomaly.anomaly_detection)
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.ClusterBasedLocalOutlierFactor method)
(dtaianomaly.anomaly_detection.CopulaBasedOutlierDetector method)
(dtaianomaly.anomaly_detection.HistogramBasedOutlierScore method)
(dtaianomaly.anomaly_detection.IsolationForest method)
(dtaianomaly.anomaly_detection.KernelPrincipalComponentAnalysis method)
(dtaianomaly.anomaly_detection.KMeansAnomalyDetector method)
(dtaianomaly.anomaly_detection.KNearestNeighbors method)
(dtaianomaly.anomaly_detection.LocalOutlierFactor method)
(dtaianomaly.anomaly_detection.MatrixProfileDetector method)
(dtaianomaly.anomaly_detection.MedianMethod method)
(dtaianomaly.anomaly_detection.OneClassSupportVectorMachine method)
(dtaianomaly.anomaly_detection.PrincipalComponentAnalysis method)
(dtaianomaly.anomaly_detection.PyODAnomalyDetector method)
(dtaianomaly.anomaly_detection.RobustPrincipalComponentAnalysis method)
(dtaianomaly.pipeline.Pipeline method)
demonstration_time_series() (in module dtaianomaly.data)
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
evaluate() (dtaianomaly.pipeline.EvaluationPipeline method)
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.ClusterBasedLocalOutlierFactor method)
(dtaianomaly.anomaly_detection.CopulaBasedOutlierDetector method)
(dtaianomaly.anomaly_detection.HistogramBasedOutlierScore method)
(dtaianomaly.anomaly_detection.IsolationForest method)
(dtaianomaly.anomaly_detection.KernelPrincipalComponentAnalysis method)
(dtaianomaly.anomaly_detection.KMeansAnomalyDetector method)
(dtaianomaly.anomaly_detection.KNearestNeighbors method)
(dtaianomaly.anomaly_detection.LocalOutlierFactor method)
(dtaianomaly.anomaly_detection.MatrixProfileDetector method)
(dtaianomaly.anomaly_detection.MedianMethod method)
(dtaianomaly.anomaly_detection.OneClassSupportVectorMachine method)
(dtaianomaly.anomaly_detection.PrincipalComponentAnalysis method)
(dtaianomaly.anomaly_detection.PyODAnomalyDetector method)
(dtaianomaly.anomaly_detection.RobustPrincipalComponentAnalysis method)
(dtaianomaly.pipeline.EvaluationPipeline method)
(dtaianomaly.pipeline.Pipeline method)
(dtaianomaly.preprocessing.Preprocessor method)
fit_transform() (dtaianomaly.preprocessing.Preprocessor method)
FixedCutoff (class in dtaianomaly.thresholding)
format_y_test() (dtaianomaly.pipeline.EvaluationPipeline method)
from_directory() (in module dtaianomaly.data)
H
HistogramBasedOutlierScore (class in dtaianomaly.anomaly_detection)
I
Identity (class in dtaianomaly.preprocessing)
interpret_config() (in module dtaianomaly.workflow)
is_compatible() (dtaianomaly.data.DataSet method)
is_valid() (dtaianomaly.data.DataSet method)
IsolationForest (class in dtaianomaly.anomaly_detection)
K
k_means_ (dtaianomaly.anomaly_detection.KMeansAnomalyDetector attribute)
KernelPrincipalComponentAnalysis (class in dtaianomaly.anomaly_detection)
KMeansAnomalyDetector (class in dtaianomaly.anomaly_detection)
KNearestNeighbors (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.StandardScaler attribute)
MedianMethod (class in dtaianomaly.anomaly_detection)
Metric (class in dtaianomaly.evaluation)
metric (dtaianomaly.evaluation.PointAdjustedFBeta attribute)
(dtaianomaly.evaluation.PointAdjustedPrecision attribute)
(dtaianomaly.evaluation.PointAdjustedRecall attribute)
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)
O
OneClassSupportVectorMachine (class in dtaianomaly.anomaly_detection)
P
pca_ (dtaianomaly.anomaly_detection.RobustPrincipalComponentAnalysis attribute)
PiecewiseAggregateApproximation (class in dtaianomaly.preprocessing)
Pipeline (class in dtaianomaly.pipeline)
plot_anomaly_scores() (in module dtaianomaly.visualization)
plot_demarcated_anomalies() (in module dtaianomaly.visualization)
plot_time_series_anomalies() (in module dtaianomaly.visualization)
plot_time_series_colored_by_score() (in module dtaianomaly.visualization)
plot_with_zoom() (in module dtaianomaly.visualization)
PointAdjustedFBeta (class in dtaianomaly.evaluation)
PointAdjustedPrecision (class in dtaianomaly.evaluation)
PointAdjustedRecall (class in dtaianomaly.evaluation)
Precision (class in dtaianomaly.evaluation)
predict() (dtaianomaly.pipeline.EvaluationPipeline method)
predict_confidence() (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.ClusterBasedLocalOutlierFactor method)
(dtaianomaly.anomaly_detection.CopulaBasedOutlierDetector method)
(dtaianomaly.anomaly_detection.HistogramBasedOutlierScore method)
(dtaianomaly.anomaly_detection.IsolationForest method)
(dtaianomaly.anomaly_detection.KernelPrincipalComponentAnalysis method)
(dtaianomaly.anomaly_detection.KMeansAnomalyDetector method)
(dtaianomaly.anomaly_detection.KNearestNeighbors method)
(dtaianomaly.anomaly_detection.LocalOutlierFactor method)
(dtaianomaly.anomaly_detection.MatrixProfileDetector method)
(dtaianomaly.anomaly_detection.MedianMethod method)
(dtaianomaly.anomaly_detection.OneClassSupportVectorMachine method)
(dtaianomaly.anomaly_detection.PrincipalComponentAnalysis method)
(dtaianomaly.anomaly_detection.PyODAnomalyDetector method)
(dtaianomaly.anomaly_detection.RobustPrincipalComponentAnalysis method)
predict_proba() (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.ClusterBasedLocalOutlierFactor method)
(dtaianomaly.anomaly_detection.CopulaBasedOutlierDetector method)
(dtaianomaly.anomaly_detection.HistogramBasedOutlierScore method)
(dtaianomaly.anomaly_detection.IsolationForest method)
(dtaianomaly.anomaly_detection.KernelPrincipalComponentAnalysis method)
(dtaianomaly.anomaly_detection.KMeansAnomalyDetector method)
(dtaianomaly.anomaly_detection.KNearestNeighbors method)
(dtaianomaly.anomaly_detection.LocalOutlierFactor method)
(dtaianomaly.anomaly_detection.MatrixProfileDetector method)
(dtaianomaly.anomaly_detection.MedianMethod method)
(dtaianomaly.anomaly_detection.OneClassSupportVectorMachine method)
(dtaianomaly.anomaly_detection.PrincipalComponentAnalysis method)
(dtaianomaly.anomaly_detection.PyODAnomalyDetector method)
(dtaianomaly.anomaly_detection.RobustPrincipalComponentAnalysis method)
Preprocessor (class in dtaianomaly.preprocessing)
PrincipalComponentAnalysis (class in dtaianomaly.anomaly_detection)
ProbaMetric (class in dtaianomaly.evaluation)
pyod_detector_ (dtaianomaly.anomaly_detection.ClusterBasedLocalOutlierFactor attribute)
(dtaianomaly.anomaly_detection.CopulaBasedOutlierDetector attribute)
(dtaianomaly.anomaly_detection.HistogramBasedOutlierScore attribute)
(dtaianomaly.anomaly_detection.IsolationForest attribute)
(dtaianomaly.anomaly_detection.KernelPrincipalComponentAnalysis attribute)
(dtaianomaly.anomaly_detection.KNearestNeighbors attribute)
(dtaianomaly.anomaly_detection.LocalOutlierFactor attribute)
(dtaianomaly.anomaly_detection.OneClassSupportVectorMachine attribute)
(dtaianomaly.anomaly_detection.PrincipalComponentAnalysis attribute)
(dtaianomaly.anomaly_detection.PyODAnomalyDetector attribute)
PyODAnomalyDetector (class in dtaianomaly.anomaly_detection)
R
RandomDetector (class in dtaianomaly.anomaly_detection.baselines)
Recall (class in dtaianomaly.evaluation)
reverse_sliding_window() (in module dtaianomaly.anomaly_detection)
RobustPrincipalComponentAnalysis (class in dtaianomaly.anomaly_detection)
RobustScaler (class in dtaianomaly.preprocessing)
run() (dtaianomaly.pipeline.EvaluationPipeline method)
(dtaianomaly.workflow.Workflow method)
S
SamplingRateUnderSampler (class in dtaianomaly.preprocessing)
save() (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.ClusterBasedLocalOutlierFactor method)
(dtaianomaly.anomaly_detection.CopulaBasedOutlierDetector method)
(dtaianomaly.anomaly_detection.HistogramBasedOutlierScore method)
(dtaianomaly.anomaly_detection.IsolationForest method)
(dtaianomaly.anomaly_detection.KernelPrincipalComponentAnalysis method)
(dtaianomaly.anomaly_detection.KMeansAnomalyDetector method)
(dtaianomaly.anomaly_detection.KNearestNeighbors method)
(dtaianomaly.anomaly_detection.LocalOutlierFactor method)
(dtaianomaly.anomaly_detection.MatrixProfileDetector method)
(dtaianomaly.anomaly_detection.MedianMethod method)
(dtaianomaly.anomaly_detection.OneClassSupportVectorMachine method)
(dtaianomaly.anomaly_detection.PrincipalComponentAnalysis method)
(dtaianomaly.anomaly_detection.PyODAnomalyDetector method)
(dtaianomaly.anomaly_detection.RobustPrincipalComponentAnalysis method)
scale_ (dtaianomaly.preprocessing.RobustScaler attribute)
sliding_window() (in module dtaianomaly.anomaly_detection)
StandardScaler (class in dtaianomaly.preprocessing)
std_ (dtaianomaly.preprocessing.StandardScaler attribute)
Supervision (class in dtaianomaly.anomaly_detection)
T
threshold() (dtaianomaly.thresholding.ContaminationRate method)
(dtaianomaly.thresholding.FixedCutoff method)
(dtaianomaly.thresholding.Thresholding method)
(dtaianomaly.thresholding.TopN method)
threshold_ (dtaianomaly.evaluation.BestThresholdMetric attribute)
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
window_size_ (dtaianomaly.anomaly_detection.ClusterBasedLocalOutlierFactor attribute)
(dtaianomaly.anomaly_detection.CopulaBasedOutlierDetector attribute)
(dtaianomaly.anomaly_detection.HistogramBasedOutlierScore attribute)
(dtaianomaly.anomaly_detection.IsolationForest attribute)
(dtaianomaly.anomaly_detection.KernelPrincipalComponentAnalysis attribute)
(dtaianomaly.anomaly_detection.KMeansAnomalyDetector attribute)
(dtaianomaly.anomaly_detection.KNearestNeighbors attribute)
(dtaianomaly.anomaly_detection.LocalOutlierFactor attribute)
(dtaianomaly.anomaly_detection.MatrixProfileDetector attribute)
(dtaianomaly.anomaly_detection.OneClassSupportVectorMachine attribute)
(dtaianomaly.anomaly_detection.PrincipalComponentAnalysis attribute)
(dtaianomaly.anomaly_detection.PyODAnomalyDetector attribute)
(dtaianomaly.anomaly_detection.RobustPrincipalComponentAnalysis attribute)
Workflow (class in dtaianomaly.workflow)
workflow_from_config() (in module dtaianomaly.workflow)
X
X_reference_ (dtaianomaly.anomaly_detection.MatrixProfileDetector attribute)