Installation
About
Methods for representations (i.e. dimensionality reduction, preprocessing, feature extraction) of time series to help more accurate and effective time series data mining. Non-data adaptive, data adaptive, model-based and data dictated (clipped) representation methods are implemented. Also various normalisation methods (min-max, z-score, Box-Cox, Yeo-Johnson), and forecasting accuracy measures are implemented.
Citation | TSrepr citation info |
petolau.github.io/package/ | |
github.com/PetoLau/TSrepr/ | |
Bug report | File report |
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