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  "Description": "Methods for extracting various features from time series\ndata. The features provided are those from Hyndman, Wang and\nLaptev (2013) <doi:10.1109/ICDMW.2015.104>, Kang, Hyndman and\nSmith-Miles (2017) <doi:10.1016/j.ijforecast.2016.09.004> and\nfrom Fulcher, Little and Jones (2013)\n<doi:10.1098/rsif.2013.0048>. Features include spectral\nentropy, autocorrelations, measures of the strength of\nseasonality and trend, and so on. Users can also define their\nown feature functions.",
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      "page": "ac_9",
      "title": "Autocorrelation at lag 9. Included for completion and consistency.",
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      "page": "acf_features",
      "title": "Autocorrelation-based features",
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      "title": "CompEngine feature set",
      "topics": [
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      "topics": [
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      "title": "The distribution feature set from software package 'hctsa'",
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      "topics": [
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      "title": "Spectral entropy of a time series",
      "topics": [
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      ]
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      "title": "The first zero crossing of the autocorrelation function from software package 'hctsa'",
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      "title": "Longest flat spot",
      "topics": [
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    {
      "page": "fluctanal_prop_r1",
      "title": "Implements fluctuation analysis from software package 'hctsa'",
      "topics": [
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      "page": "heterogeneity",
      "title": "Heterogeneity coefficients",
      "topics": [
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    {
      "page": "histogram_mode",
      "title": "Mode of a data vector from software package 'hctsa'",
      "topics": [
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    },
    {
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        "hw_parameters"
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      "topics": [
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    {
      "page": "localsimple_taures",
      "title": "The first zero crossing of the autocorrelation function of the residuals from Simple local time-series forecasting from software package 'hctsa'",
      "topics": [
        "localsimple_taures"
      ]
    },
    {
      "page": "lumpiness",
      "title": "Time series features based on tiled windows",
      "topics": [
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        "stability"
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        "max_level_shift",
        "max_var_shift"
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      "page": "motiftwo_entro3",
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    },
    {
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      "title": "Nonlinearity coefficient",
      "topics": [
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    {
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      "title": "How median depend on distributional outliers from software package 'hctsa'",
      "topics": [
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      "title": "Partial autocorrelation-based features",
      "topics": [
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      "title": "The prediction feature set from software package 'hctsa'",
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    {
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      "title": "Second Sample Entropy of a time series from software package 'hctsa'",
      "topics": [
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      "topics": [
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      "title": "Unit Root Test Statistics",
      "topics": [
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        "unitroot_pp"
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      "title": "Simulates a hypothetical walker moving through the time domain from software package 'hctsa'",
      "topics": [
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      "title": "Yahoo server metrics",
      "topics": [
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      "title": "Introduction to the tsfeatures package",
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        "Installation",
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