apply_decomp

<code>apply_decomp()</code> is deprecated. Use <code>apply_decomposition()</code>, which takes the
same arguments.

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

apply_decomp function

<dl><dt>decom</dt>
<dd><code>Decomposition</code> object.</dd>
<dt>new_data</dt>
<dd>Tabular data (data.frame, data.table, or tibble): New data to which the
decomposition will be applied.</dd>
<dt>execution_config</dt>
<dd>Optional <code>ExecutionConfig</code> object: Threads for an
algorithm whose <code>threaded</code> trait is TRUE are its <code>n_workers_algorithm</code>, or
its worker count. <code>NULL</code> uses the host's default worker count.</dd>
<dt>verbosity</dt>
<dd>Integer: Verbosity level.</dd></dl>

Arguments

Author

Apply Decomposition to New Data (Deprecated) — apply_decomp

<dl>

<dt>decom</dt>
<dd><code>Decomposition</code> object.</dd>


<dt>new_data</dt>
<dd>Tabular data (data.frame, data.table, or tibble): New data to which the
decomposition will be applied.</dd>


<dt>execution_config</dt>
<dd>Optional <code>ExecutionConfig</code> object: Threads for an
algorithm whose <code>threaded</code> trait is TRUE are its <code>n_workers_algorithm</code>, or
its worker count. <code>NULL</code> uses the host's default worker count.</dd>


<dt>verbosity</dt>
<dd>Integer: Verbosity level.</dd>

</dl>

apply_decomp: Apply Decomposition to New Data (Deprecated)

Description

Usage

Value

Arguments

Author

Examples