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MatrixFeatures

Struct MatrixFeatures 

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pub struct MatrixFeatures {
    pub n: usize,
    pub nnz: usize,
    pub density: f64,
    pub max_row_nnz: usize,
    pub mean_row_nnz: f64,
    pub bandwidth: usize,
    pub bandwidth_ratio: f64,
    pub cond_estimate: f64,
    pub spectral_radius: f64,
    pub diag_dominance: f64,
    pub symmetry_measure: f64,
    pub has_positive_diagonal: bool,
}
Expand description

Numerical features extracted from a sparse matrix for classification.

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§n: usize

Matrix dimension (rows = cols for square matrices).

§nnz: usize

Number of non-zero entries.

§density: f64

Density = nnz / (n * n).

§max_row_nnz: usize

Maximum number of non-zeros in any single row.

§mean_row_nnz: f64

Mean number of non-zeros per row.

§bandwidth: usize

Half-bandwidth: max |i - j| over all stored (i, j).

§bandwidth_ratio: f64

Bandwidth ratio: bandwidth / n.

§cond_estimate: f64

Cheap condition number estimate (max diag / min diag).

§spectral_radius: f64

Spectral radius estimate via Gershgorin bound.

§diag_dominance: f64

Diagonal dominance ratio: min_i |a_ii| / sum_{j!=i} |a_ij|.

§symmetry_measure: f64

Symmetry measure: fraction of (i,j) entries that have a matching (j,i).

§has_positive_diagonal: bool

Whether all diagonal entries are positive.

Trait Implementations§

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impl Clone for MatrixFeatures

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fn clone(&self) -> MatrixFeatures

Returns a duplicate of the value. Read more
1.0.0 · Source§

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

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

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

Formats the value using the given formatter. Read more

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