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NormalizationParams

oxiphysics_io::machine_learning_io

Struct NormalizationParams 

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pub struct NormalizationParams {
    pub means: Vec<f64>,
    pub stds: Vec<f64>,
    pub mins: Vec<f64>,
    pub maxs: Vec<f64>,
}
Expand description

Stored feature normalization parameters (mean and std for z-score normalization).

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§means: Vec<f64>

Per-feature mean.

§stds: Vec<f64>

Per-feature standard deviation.

§mins: Vec<f64>

Minimum values (for min-max normalization).

§maxs: Vec<f64>

Maximum values (for min-max normalization).

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impl NormalizationParams

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pub fn from_dataset(dataset: &Dataset) -> Self

Compute z-score normalization parameters from a dataset.

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pub fn normalize_zscore(&self, features: &[f64]) -> Vec<f64>

Apply z-score normalization to a feature vector.

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pub fn normalize_minmax(&self, features: &[f64]) -> Vec<f64>

Apply min-max normalization to a feature vector (maps to [0, 1]).

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pub fn to_bytes(&self) -> Vec<u8> ⓘ

Serialise to bytes.

Trait Implementations§

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impl Clone for NormalizationParams

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fn clone(&self) -> NormalizationParams

Returns a duplicate of the value. Read more
1.0.0 (const: unstable) · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for NormalizationParams

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)
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