Analyse and Interpret Time Series Features
Fit classifiers using time-series features using a resample-based appr...
Perform cluster analysis of time series using their feature vectors
Conduct statistical testing on time-series feature classification perf...
Remove duplicate features that exist in multiple feature sets and reta...
Filter resample data sets according to good feature list
Helper function to find features in both train and test set that are "...
Fit classification model and compute key metrics
Calculate central tendency and spread values for all numeric columns i...
Calculate interval summaries with a measure of central tendency of cla...
Helper function for converting to title case
Produce a plot for a feature_calculations object
Produce a plot for a feature_projection object
Produce a plot for a interval_calculations object
Project a feature matrix into a two-dimensional representation using P...
Helper function to create a resampled dataset
Calculate z-score for all columns in a dataset using train set central...
Helper function to select only the relevant columns for statistical te...
Use a cross validated penalized maximum likelihood generalized linear ...
Calculate p-values for feature sets or features relative to an empiric...
Analyse and Interpret Time Series Features
Provides a suite of functions for analysing, interpreting, and visualising time-series features calculated from different feature sets from the 'theft' package. Implements statistical learning methodologies described in Henderson, T., Bryant, A., and Fulcher, B. (2023) <doi:10.48550/arXiv.2303.17809>.
Useful links