setup_DecomposeConfig

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

Machine learning and visualization package with an 'S7' backend featuring
comprehensive type checking and validation, observable runs, and auditable outputs.
The functional API provides one-call access to supervised and unsupervised learning
through train(), cluster(), and decomp(). All configuration steps are performed using
setup functions and validated. A single call to train() can handle preprocessing,
decomposition, hyperparameter tuning, model stacking, and testing with nested resampling.
Supports 'data.frame', 'data.table', and 'tibble' inputs and parallel execution. Plot
methods for trained and resampled supervised models draw interactive figures through
'rtemis.draw'. Includes native implementations of SuperLearner, RuleFit, and Linear
Additive Trees, and supports conformal prediction. The package first appeared in
E.D. Gennatas (2017)
<https://repository.upenn.edu/entities/publication/d81892ea-3087-4b71-a6f5-739c58626d64>.

Efstathios D. Gennatas

rtemis

Schema-Driven Machine Learning and Visualization

E.D. Gennatas

setup_DecomposeConfig function

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

Arguments

Author

Setup DecomposeConfig — setup_DecomposeConfig

<dl>

<dt>dat_path</dt>
<dd>Character or NULL: Path to input data file. NULL leaves the
recipe unbound; set it (or supply data) before decomp.</dd>


<dt>decomposition_config</dt>
<dd><code>DecompositionConfig</code> object or NULL: Configuration
for the decomposition itself. Setup with a decomposition <code>setup_*</code> function,
e.g. setup_PCA. If NULL, decomp runs its default algorithm with default
settings.</dd>


<dt>execution_config</dt>
<dd><code>ExecutionConfig</code> object: Execution settings, e.g.
setup_FutureExecution. Its workers are threads for an algorithm that uses
them, and its seed seeds the fit.</dd>


<dt>outdir</dt>
<dd>Character: Output directory for results.</dd>


<dt>verbosity</dt>
<dd>Integer [0, Inf): Verbosity level.</dd>

</dl>

setup_DecomposeConfig: Setup DecomposeConfig

Description

Usage

Value

Arguments

Author

Examples