pub struct JacobianSparsityMetrics {
pub n_samples: usize,
pub p_features: usize,
pub latent_dim: usize,
pub mean_sparsity: f64,
pub max_abs: f64,
pub ranks: Vec<usize>,
}Expand description
Scalar facts about decoder Jacobian sparsity.
Fields§
§n_samples: usize(N_samples, P, latent_dim) shape elements.
p_features: usize§latent_dim: usize§mean_sparsity: f64Fraction of entries with |J| < zero_threshold * max|J|, averaged
across samples.
max_abs: f64Maximum absolute entry of the Jacobian stack.
ranks: Vec<usize>Per-sample numeric column rank (each entry in [0, latent_dim]).
Trait Implementations§
Source§impl Clone for JacobianSparsityMetrics
impl Clone for JacobianSparsityMetrics
Source§fn clone(&self) -> JacobianSparsityMetrics
fn clone(&self) -> JacobianSparsityMetrics
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 JacobianSparsityMetrics
impl RefUnwindSafe for JacobianSparsityMetrics
impl Send for JacobianSparsityMetrics
impl Sync for JacobianSparsityMetrics
impl Unpin for JacobianSparsityMetrics
impl UnsafeUnpin for JacobianSparsityMetrics
impl UnwindSafe for JacobianSparsityMetrics
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impl<T> BorrowMut<T> for Twhere
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Converts
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The inclusion map: converts
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