detect                  Detect events in time series
han_autoencoder         Anomaly detector using autoencoder
hanc_ml                 Anomaly detector based on machine learning
                        classification
hanct_dtw               Anomaly detector using DTW
hanct_kmeans            Anomaly detector using kmeans
hanr_arima              Anomaly detector using ARIMA.
hanr_fbiad              Anomaly detector using FBIAD
hanr_garch              Anomaly detector using GARCH
hanr_histogram          Anomaly detector using histogram
hanr_ml                 Anomaly detector based on machine learning
                        regression.
har_conv1d              Conv1D
har_eval                Evaluation of event detection
har_eval_soft           Evaluation of event detection
har_examples            Synthetic time series for event detection
har_examples_multi      Synthetic time series for event detection
har_lstm                LSTM
har_plot                Plot event detection on a time series
harbinger               Harbinger
hcd_page_hinkley        Adapted Page Hinkley method
hcp_amoc                At most one change (AMOC) method
hcp_binseg              Binary segmentation (BinSeg) method
hcp_cf_arima            Change Finder using ARIMA
hcp_cf_ets              Change Finder using ETS
hcp_cf_lr               Change Finder using LR
hcp_chow                Chow test method
hcp_garch               Change Finder using GARCH
hcp_gft                 Generalized Fluctuation Test (GFT)
hcp_pelt                Pruned exact linear time (PELT) method
hcp_scp                 Seminal change point
hmo_base36              Motif discovery using base36
hmo_mp                  Motif discovery using Matrix Profile
hmo_sax                 Motif discovery using SAX
hmu_pca                 Multivariate anomaly detector using PCA
