setup_DecomposeConfig: Setup DecomposeConfig

In rtemis: Schema-Driven Machine Learning and Visualization

Setup DecomposeConfig

Description

Setup a DecomposeConfig object. DecomposeConfig is a portable, data-agnostic recipe for a decomposition pipeline: dat_path is optional, so the same config can be validated, shared, or described without data and have a path bound later (e.g. by the rtemis CLI) before decomp.

Usage

setup_DecomposeConfig(
  dat_path = NULL,
  decomposition_config = NULL,
  execution_config = setup_FutureExecution(),
  outdir = "results/",
  verbosity = 1L
)

Arguments

dat_path	Character or NULL: Path to input data file. NULL leaves the recipe unbound; set it (or supply data) before decomp.
decomposition_config	DecompositionConfig object or NULL: Configuration for the decomposition itself. Setup with a decomposition ⁠setup_*⁠ function, e.g. setup_PCA. If NULL, decomp runs its default algorithm with default settings.
execution_config	ExecutionConfig object: Execution settings, e.g. setup_FutureExecution. Its workers are threads for an algorithm that uses them, and its seed seeds the fit.
outdir	Character: Output directory for results.
verbosity	Integer [0, Inf): Verbosity level.

Value

DecomposeConfig object.

Author(s)

EDG

Examples

dc <- setup_DecomposeConfig(
  dat_path = "data.csv",
  decomposition_config = setup_PCA(k = 3L),
  outdir = "results/"
)

rtemis documentation built on Oct. 20, 2026, 1:06 a.m.