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Welcome to TODS’s documentation! — TODS 0.0.1 documentation Documentation: Overview Getting Started API Documents: tods.data_processing module tods.timeseries_processing module tods.feature_analysis module tods.detection_algorithm Module tods.reinforcement module TODS » Welcome to TODS’s documentation! Welcome to TODS’s documentation! ¶ TODS is a full-stack automated machine learning system for outlier detection on multivariate time-series data. TODS provides exhaustive modules for building machine learning-based outlier detection systems including: data processing, time series processing, feature analysis (extraction), detection algorithms, and reinforcement module. The functionalities provided via these modules including: data preprocessing for general purposes, time series data smoothing/transformation, extracting features from time/frequency domains, various detection algorithms, and involving human expertises to calibrate the system. Three common outli...
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