setup_ClusterConfig: Setup ClusterConfig

In rtemis: Schema-Driven Machine Learning and Visualization

Setup ClusterConfig

Description

Setup a ClusterConfig object. ClusterConfig is a portable, data-agnostic recipe for a clustering 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 cluster.

Usage

setup_ClusterConfig(
  dat_path = NULL,
  clustering_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 cluster.
clustering_config	ClusteringConfig object or NULL: Configuration for the clustering itself, naming the algorithm, its settings and the feature columns to cluster on. Setup with a clustering ⁠setup_*⁠ function, e.g. setup_KMeans. If NULL, cluster runs its default algorithm with default settings.
execution_config	ExecutionConfig object: Execution settings, e.g. setup_FutureExecution. Its seed seeds the fit.
outdir	Character: Output directory for results.
verbosity	Integer [0, Inf): Verbosity level.

Value

ClusterConfig object.

Author(s)

EDG

Examples

cc <- setup_ClusterConfig(
  dat_path = "data.csv",
  clustering_config = setup_KMeans(k = 3L),
  outdir = "results/"
)

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