A time series anomaly detection library featuring cutting-edge algorithms and advanced functionalities.It allows the unification of more than 50 algorithms from the literature distributed across different libraries, in addition to some of its own.
In detail, the package provides:
| Name | Function |
|---|---|
| ALAD | anomaly_lib.deep_learning.alad.ALAD |
| AnoGAN | anomaly_lib.deep_learning.anogan.AnoGAN |
| AutoEncoder | anomaly_lib.deep_learning.auto_encoder.AutoEncoder |
| DeepSVDD | anomaly_lib.deep_learning.deep_svdd.DeepSVDD |
| MO_GAAL | anomaly_lib.deep_learning.mo_gaal.MO_GAAL |
| SO_GAAL | anomaly_lib.deep_learning.so_gaal.SO_GAAL |
| VAE | anomaly_lib.deep_learning.vae.VAE |
| Name | Function |
|---|---|
| DecisionTreeClassifierClassOD | anomaly_lib.machine_learning.decision_tree_classifier.DecisionTreeClassifierClassOD |
| ECOD | anomaly_lib.machine_learning.ecod.ECOD |
| IForest | anomaly_lib.machine_learning.iforest.IForest |
| KNN | anomaly_lib.machine_learning.knn.KNN |
| LOF | anomaly_lib.machine_learning.lof.LOF |
| MLPClassOD | anomaly_lib.machine_learning.mlp_classifier.MLPClassOD |
| MultinomialNBClassOD | anomaly_lib.machine_learning.multinomial_nb.MultinomialNBClassOD |
| GaussianNBClassOD | anomaly_lib.machine_learning.naive_bayes.GaussianNBClassOD |
| OCSVM | anomaly_lib.machine_learning.ocsvm.OCSVM |
| RandomForestClassOD | anomaly_lib.machine_learning.random_forest_classifier.RandomForestClassOD |
| SVMClassOD | anomaly_lib.machine_learning.svm.SVMClassOD |
| Name | Function |
|---|---|
| ABOD | anomaly_lib.statistical.abod.ABOD |
| CBLOF | anomaly_lib.statistical.cblof.CBLOF |
| CD | anomaly_lib.statistical.cd.CD |
| COF | anomaly_lib.statistical.cof.COF |
| LUNAR | anomaly_lib.statistical.lunar.LUNAR |
| COPOD | anomaly_lib.statistical.copod.COPOD |
| FeatureBagging | anomaly_lib.statistical.feature_bagging.FeatureBagging |
| GMM | anomaly_lib.statistical.gmm.GMM |
| HBOS | anomaly_lib.statistical.hbos.HBOS |
| INNE | anomaly_lib.statistical.inne.INNE |
| KDE | anomaly_lib.statistical.kde.KDE |
| KPCA | anomaly_lib.statistical.kpca.KPCA |
| LMDD | anomaly_lib.statistical.lmdd.LMDD |
| LOCI | anomaly_lib.statistical.loci.LOCI |
| LODA | anomaly_lib.statistical.loda.LODA |
| LSCP | anomaly_lib.statistical.lscp.LSCP |
| MAD | anomaly_lib.statistical.mad.MAD |
| MCD | anomaly_lib.statistical.mcd.MCD |
| PCA | anomaly_lib.statistical.pca.PCA |
| QMCD | anomaly_lib.statistical.qmcd.QMCD |
| RGraph | anomaly_lib.statistical.rgraph.RGraph |
| ROD | anomaly_lib.statistical.rod.ROD |
| Sampling | anomaly_lib.statistical.sampling.Sampling |
| SOD | anomaly_lib.statistical.sod.SOD |
| SOS | anomaly_lib.statistical.sos.SOS |
| XGBOD | anomaly_lib.statistical.xgbod.XGBOD |
| MatrixProfile | anomaly_lib.statistical.matrixprofile.MatrixProfile |
| ARIMA | anomaly_lib.statistical.arima.ARIMA |
| SARIMAX | anomaly_lib.statistical.sarimax.SARIMAX |
| VARMAX | anomaly_lib.statistical.varmax.VARMAX |
| HoltWinters | anomaly_lib.statistical.holt_winters.HoltWinters |
| SingleExponentialSmoothing | anomaly_lib.statistical.singleExponentialSmoothing.SingleExponentialSmoothing |
You can find all documentation in Web Docs.