# Other ### `embedding_dist` **Naming info**: This feature matches the *hctsa* feature called `CO_Embed2_Dist_tau_d_expfit_meandiff`. This feature first represents the time series in a two-dimensional time-delay embedding space (using a time delay equal to the first zero-crossing of the autocorrelation function). It then computes successive distances between points in this 2D embedding space and analyzes the probability distribution of these distances. This feature outputs the mean absolute error of an exponential fit to this distribution. It will give low values to time series where the probability distribution of the distance between consecutive time-series values in the 2D embedding space is well approximated by an exponential distribution. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://time-series-features.gitbook.io/catch22-features/catch22/other.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.