lazymatrix::WeightedColumnSumsKernel

LazyMatrix for Rust · 0.8.1

Source

pub trait WeightedColumnSumsKernel<F: Scalar>: MatrixShape + MatrixErrorType

Backend weighted-column sums with explicit normalization.

Accumulate ((X[i,j] - centers[j]) / scales[j]) * weights[i], applying subtraction and division only when the corresponding slice is present. LazyMatrix forwards its normalization here. The output and error contracts are those of WeightedColumnSumsInto.

Panics

In addition to product dimensions, validate normalization slice lengths and reject exact zero scales, including negative zero, before writing output.

Methods

weighted_column_sums_normalized_into

fn weighted_column_sums_normalized_into<W, O>(
    &self,
    weights: &W,
    centers: Option<&[F]>,
    scales: Option<&[F]>,
    out: &mut O
) -> Result<(), <Self as MatrixErrorType>::Error> where W: VectorView<F> + ?Sized, O: VectorViewMut<F> + ?Sized

Source

Implementation of WeightedColumnSumsKernel

Source

impl<F, IP, IS, DS, Iptr> WeightedColumnSumsKernel<F> for lazymatrix::SprsCsc<sprs::CsMatBase<F, usize, IP, IS, DS, Iptr>> where F: Scalar, Iptr: SpIndex, IP: Deref<Target = [Iptr]>, IS: Deref<Target = [usize]>, DS: Deref<Target = [F]>

Implementation of WeightedColumnSumsKernel

Source

impl<M: WeightedColumnSumsKernel<F>, F: Scalar, T> WeightedColumnSumsKernel<F> for EagerMatrix<M, T>