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>
22 lines
499 B
Markdown
22 lines
499 B
Markdown
---
|
|
name: min_max_scale
|
|
kind: function
|
|
lang: go
|
|
domain: datascience
|
|
version: "1.0.0"
|
|
purity: pure
|
|
signature: "func MinMaxScale(data []float64) []float64"
|
|
description: "Escala los valores de un slice al rango [0, 1] usando normalización min-max."
|
|
tags: [datascience, statistics, normalize, scale]
|
|
uses_functions: []
|
|
uses_types: []
|
|
returns: []
|
|
returns_optional: false
|
|
error_type: ""
|
|
imports: ["math"]
|
|
tested: false
|
|
tests: []
|
|
test_file_path: ""
|
|
file_path: "functions/datascience/min_max_scale.go"
|
|
---
|