Purpose | Core functionality | Calculating time-series features | Installing Python feature sets | Calculating features | Comparison of feature sets | Reading and processing hctsa-formatted files | Analysing, interpreting, and visualising time-series features

Purpose | Core calculation functions | Data quality checks | Data visualisation and low-dimensional projections | Feature matrices | Individual feature distributions | Low dimensional projections | Pairwise correlations | Time-series classification | Feature-by-feature | Multi-feature | Cluster analysis | Feature selection

Introduction | Random subsampling correction | k-fold cross-validation correction | Repeated k-fold cross-validation correction | Setup | Package functionality

Purpose

Core calculation function | catch24 | Feature list