egutierrez
fc734029c1
12 funciones puras con implementación real: Standardize, MinMaxScale, Clip, RollingWindow, ZipSlices, GroupBy, Histogram, Pearson, Autocorrelation, FFT (Cooley-Tukey), DetectOutliers, Impute 3 funciones impuras (stubs): LoadCSV, LoadParquet, FetchDataFrame Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
13 lines
363 B
Go
13 lines
363 B
Go
package datascience
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// Autocorrelation calcula la autocorrelación de data con el desfase (lag) dado.
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// Usa la correlación de Pearson entre data[0:n-lag] y data[lag:n].
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// Si lag es inválido, retorna 0.
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func Autocorrelation(data []float64, lag int) float64 {
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n := len(data)
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if lag < 0 || lag >= n {
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return 0
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}
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return Pearson(data[:n-lag], data[lag:])
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}
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