pub struct PcaModel {
pub mean: Vec<f64>,
pub std_dev: Vec<f64>,
pub components: Vec<Vec<f64>>,
pub explained_variance: Vec<f64>,
pub n_components: usize,
pub n_features: usize,
}Expand description
A fitted PCA model that can be used for transform and inverse_transform.
Fields§
§mean: Vec<f64>Per-feature mean used for centering (zero if center = false).
std_dev: Vec<f64>Per-feature standard deviation used for scaling (one if scale = false).
components: Vec<Vec<f64>>Principal components as row vectors, each of length n_features.
explained_variance: Vec<f64>Explained variance (eigenvalue) associated with each component.
n_components: usizeNumber of components extracted.
n_features: usizeNumber of features in the training data.
Trait Implementations§
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impl Freeze for PcaModel
impl RefUnwindSafe for PcaModel
impl Send for PcaModel
impl Sync for PcaModel
impl Unpin for PcaModel
impl UnsafeUnpin for PcaModel
impl UnwindSafe for PcaModel
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