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>
34 lines
580 B
Go
34 lines
580 B
Go
package datascience
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import "math"
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// MinMaxScale escala los valores al rango [0, 1] usando min-max normalización.
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// Si min == max, retorna un slice de ceros.
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func MinMaxScale(data []float64) []float64 {
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n := len(data)
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if n == 0 {
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return []float64{}
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}
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minVal := math.Inf(1)
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maxVal := math.Inf(-1)
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for _, v := range data {
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if v < minVal {
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minVal = v
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}
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if v > maxVal {
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maxVal = v
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}
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}
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rang := maxVal - minVal
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result := make([]float64, n)
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if rang == 0 {
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return result
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}
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for i, v := range data {
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result[i] = (v - minVal) / rang
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}
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return result
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}
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