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>
19 lines
437 B
Go
19 lines
437 B
Go
package datascience
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import "math"
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// Impute rellena valores NaN usando forward-fill.
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// Cada NaN se reemplaza con el último valor válido (no NaN) anterior.
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// Si el primer valor es NaN y no hay valor anterior, se mantiene como NaN.
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func Impute(data []float64) []float64 {
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result := make([]float64, len(data))
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last := math.NaN()
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for i, v := range data {
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if !math.IsNaN(v) {
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last = v
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}
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result[i] = last
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}
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return result
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}
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