Struct SparseColumnRunningStatistics 

pub struct SparseColumnRunningStatistics<T>
where
    T: Float,
{ /* private fields */ }

Running statistics computed per-column directly from sparse (CSC) input.

Unlike SparseRunningStatistics which tracks per-row statistics across columns, this tracks per-column statistics: nnz, sum, and sum-of-squares for each column. Mean/variance use nrows as the denominator (implicit zeros contribute zero values).

CSC slabs are consumed directly — no triplet materialization — and each slab only needs to know its starting column offset in the global index space.

Implementations

impl<T> SparseColumnRunningStatistics<T>

where T: Float + AddAssign + Sum + Zero,

pub fn new(ncols: usize, nrows: usize) -> Self

Create a new per-column running statistics accumulator.

Arguments

• ncols — total number of columns whose statistics will be tracked
• nrows — row denominator used for mean/variance (number of rows considered; for a row-filtered scan this should be the number of rows kept)

pub fn add_csc(&mut self, csc: &CscMatrix<T>, col_offset: usize)

Accumulate statistics from a CSC slab. col_offset is the global column index of the slab’s local column 0.

pub fn add_csc_masked( &mut self, csc: &CscMatrix<T>, col_offset: usize, row_mask: &[bool], )

Accumulate statistics from a CSC slab, keeping only rows where row_mask[row] is true. row_mask must cover every row index appearing in the CSC (length ≥ csc.nrows()).

pub fn ncols(&self) -> usize

pub fn nrows(&self) -> usize

impl<T> SparseColumnRunningStatistics<T>

where T: Float + AddAssign + Sum + Zero + Display + ToPrimitive,

pub fn save(&self, filename: &str, names: &[Box<str>], sep: &str) -> Result<()>

Save the per-column statistics to a file (parquet if filename ends with .parquet, otherwise a separator-delimited text file).

pub fn to_f32_vecs(&self) -> (Vec<f32>, Vec<f32>, Vec<f32>, Vec<f32>)

Get statistics as vectors (nnz, tot, mu, sig) converted to f32

Trait Implementations

impl<T> Clone for SparseColumnRunningStatistics<T>

where T: Float + Clone,

fn clone(&self) -> Self

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<T> RunningStatOps<T> for SparseColumnRunningStatistics<T>

where T: Float + AddAssign + Sum + Zero,

type Output = Vec<T>

fn clear(&mut self)

fn count_positives(&self) -> Vec<T>

fn sum(&self) -> Vec<T>

fn mean(&self) -> Vec<T>

fn variance(&self) -> Vec<T>

fn std(&self) -> Vec<T>