pub struct PcaResult {
pub components: Tensor,
pub eigenvalues: Vec<f32>,
pub explained_variance_ratio: Vec<f32>,
}Expand description
Result of a PCA decomposition via power iteration.
Fields§
§components: TensorPrincipal component directions, shape [k, n_features].
Each row is a unit-length direction in feature space, ordered by decreasing eigenvalue.
eigenvalues: Vec<f32>Eigenvalues of the kernel matrix, one per component.
explained_variance_ratio: Vec<f32>Fraction of total variance explained by each component.
Values sum to at most 1.0. The total variance is the trace of the (centered) kernel matrix.
Trait Implementations§
Auto Trait Implementations§
impl Freeze for PcaResult
impl !RefUnwindSafe for PcaResult
impl Send for PcaResult
impl Sync for PcaResult
impl Unpin for PcaResult
impl UnsafeUnpin for PcaResult
impl !UnwindSafe for PcaResult
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