% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/tune_Lambda.R
\name{.compute_tuning_predictions}
\alias{.compute_tuning_predictions}
\title{Compute Predictions During Penalty Tuning}
\usage{
.compute_tuning_predictions(
  X,
  B,
  K,
  parallel,
  cl,
  chunk_size,
  num_chunks,
  rem_chunks
)
}
\arguments{
\item{X}{List; design matrices by partition.}

\item{B}{List; coefficient vectors by partition.}

\item{K}{Integer; number of interior knots.}

\item{parallel}{Logical; use parallel computation.}

\item{cl}{Parallel cluster object.}

\item{chunk_size, num_chunks, rem_chunks}{Integer; parallel chunking parameters.}
}
\value{
List of prediction vectors, one per partition.
}
\description{
Wrapper around \code{matmult_block_diagonal} for computing partition-wise
predictions \eqn{\mathbf{X}_{k} \boldsymbol{\beta}_{k}} during penalty
tuning.
}
\keyword{internal}
