-
Batch Learning Anomaly Detection
- train_test_scalar_sequence_anomalies.py
- Use
ScalarTransformandSequenceLearner
- Use
- train_test_discrete_sequence_anomalies.py
- Use
DiscreteTransformandSequenceLearner
- Use
- train_test_scalar_sequence_anomalies.py
-
Online Learning Anomaly Detection
- online_learning_scalar_sequence_anomalies.py
- Use
ScalarTransformandSequenceLearner
- Use
- online_learning_discrete_sequence_anomalies.py
- Use
DiscreteTransformandSequenceLearner
- Use
- online_learning_scalar_sequence_anomalies.py
-
Save and Load Trained Model to File
- load_save_sequence_learner.py
- Train, save, load, and compare learned model with
ScalarTransformandSequenceLearner
- Train, save, load, and compare learned model with
- load_save_sequence_learner.py
-
Template
- template_anomaly_detector.py
- Example of anomaly detection using the
AnomalyDetectortemplate
- Example of anomaly detection using the
- template_anomaly_detector.py
-
Pooling
- anom_pooler.py
- Example of anomaly detection with
PatternPoolerblock
- Example of anomaly detection with
- anom_pooler.py
-
Multivariate
- anom_hierarchy.py
- Example of anomaly detection on multiple time series using a hierarchy of blocks
- multivariate_anomaly_detection.py
- Example of multivariate time-series anomaly detection
- anom_hierarchy.py
sequence_learner
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