{"version":1,"pages":[{"id":"-MfHFb-Q8DA8FFutIC4w","title":"Overview","pathname":"/catch22-features","siteSpaceId":"sitesp_xD1Tq","description":""},{"id":"XSPpsv0HlUTQu5LGkQN5","title":"Feature overview table","pathname":"/catch22-features/feature-overview-table","siteSpaceId":"sitesp_xD1Tq","description":""},{"id":"-MfHGJhPR2dozJObe06F","title":"Distribution shape","pathname":"/catch22-features/catch22/the-dn_histogrammode-features","siteSpaceId":"sitesp_xD1Tq","description":"The DN_HistogramMode features measure properties of the shape of the distribution of time-series values.","breadcrumbs":[{"label":"catch22"}]},{"id":"-MfHL-CI2tYz3kH0NX1U","title":"Extreme event timing","pathname":"/catch22-features/catch22/the-dn_outlierinclude-features","siteSpaceId":"sitesp_xD1Tq","description":"The DN_OutlierInclude features measure the timing of extreme events relative to the start and end of the time series","breadcrumbs":[{"label":"catch22"}]},{"id":"-MfWOdAGanpG3oYYSZL2","title":"Linear autocorrelation structure","pathname":"/catch22-features/catch22/first1e_acf_tau","siteSpaceId":"sitesp_xD1Tq","description":"Features quantifying linear autocorrelation structure (from the autocorrelation function or power spectrum)","breadcrumbs":[{"label":"catch22"}]},{"id":"-Mfl3N9Txw35pOHXK8EX","title":"Nonlinear autocorrelation","pathname":"/catch22-features/catch22/nonlinear-autocorrelation-statistics","siteSpaceId":"sitesp_xD1Tq","description":"These features capture nonlinear autocorrelation properties of a time series","breadcrumbs":[{"label":"catch22"}]},{"id":"7bZ6VPDuhCaxwcBovNLN","title":"Symbolic","pathname":"/catch22-features/catch22/symbolic","siteSpaceId":"sitesp_xD1Tq","description":"Features based on a discrete symbolization of real-valued time-series data","breadcrumbs":[{"label":"catch22"}]},{"id":"shsi4kAkfv6OZhH2QOf6","title":"Incremental differences","pathname":"/catch22-features/catch22/incremental-differences","siteSpaceId":"sitesp_xD1Tq","description":"Properties of the 1-point incremental differences of the time series","breadcrumbs":[{"label":"catch22"}]},{"id":"-Mf_42zMdzSOg5ZDXOKp","title":"Simple forecasting","pathname":"/catch22-features/catch22/the-simple-forecasting-based-features","siteSpaceId":"sitesp_xD1Tq","description":"Feature of a 3-point mean forecast","breadcrumbs":[{"label":"catch22"}]},{"id":"9HRlHT1MHUeqiHFO9nj6","title":"Self-affine scaling","pathname":"/catch22-features/catch22/self-affine-scaling","siteSpaceId":"sitesp_xD1Tq","description":"","breadcrumbs":[{"label":"catch22"}]},{"id":"OHPbtUVw69lVaklgsKnA","title":"Other","pathname":"/catch22-features/catch22/other","siteSpaceId":"sitesp_xD1Tq","description":"","breadcrumbs":[{"label":"catch22"}]}]}