normalize()

MAYAFLUX_API void MayaFlux::Kinesis::Discrete::normalize ( std::span< double >  data, double  target_min = -1.0, double  target_max = 1.0  )

noexcept

Normalize to [target_min, target_max] in-place Single-pass min/max reduction followed by a single transform pass.

No-op when all values are equal.

Parameters

data	Target span
target_min	Output minimum
target_max	Output maximum

Definition at line 61 of file Transform.cpp.

{
    if (data.empty())
        return;
 
    double lo = data[0];
    double hi = data[0];
    for (double v : data) {
        if (v < lo)
            lo = v;
        if (v > hi)
            hi = v;
    }
 
    if (hi == lo)
        return;
 
    const double inv_src = 1.0 / (hi - lo);
    const double dst_range = target_max - target_min;
    std::ranges::transform(data, data.begin(),
        [lo, inv_src, dst_range, target_min](double x) {
            return (x - lo) * inv_src * dst_range + target_min;
        });
}

References normalize().

Referenced by auto_correlate(), cross_correlate(), normalize(), and MayaFlux::Yantra::MathematicalTransformer< InputType, OutputType >::transform_implementation().

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