pub struct AnovaBlocks {
pub mean: f64,
pub main_a: Array1<f64>,
pub main_b: Array1<f64>,
}Expand description
The exact ANOVA reparameterization of one output dimension’s tensor
coefficient matrix C (M₁ × M₂) under empirical-measure centering.
With m_i the empirical mean of factor i’s basis over the code
sample and φ̃ = φ − m, the surface decomposes EXACTLY (an identity,
not an approximation):
φ¹ᵀ C φ² = mean + φ̃¹ᵀ·main_a + φ̃²ᵀ·main_b + φ̃¹ᵀ C φ̃²so mean = m₁ᵀ C m₂, main_a = C m₂, main_b = Cᵀ m₁, and the
interaction block on the centered tensor basis is C itself (tested
in its gauge quotient, see module docs).
Fields§
§mean: f64§main_a: Array1<f64>§main_b: Array1<f64>Trait Implementations§
Source§impl Clone for AnovaBlocks
impl Clone for AnovaBlocks
Source§fn clone(&self) -> AnovaBlocks
fn clone(&self) -> AnovaBlocks
Returns a duplicate of the value. Read more
1.0.0 (const: unstable) · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source. Read moreAuto Trait Implementations§
impl Freeze for AnovaBlocks
impl RefUnwindSafe for AnovaBlocks
impl Send for AnovaBlocks
impl Sync for AnovaBlocks
impl Unpin for AnovaBlocks
impl UnsafeUnpin for AnovaBlocks
impl UnwindSafe for AnovaBlocks
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Converts
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The inclusion map: converts
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