.list_to_ResamplerConfig

Internal function used by <code>rtemis.server</code> and <code>SuperConfig</code> deserialization
to reconstruct a <code>ResamplerConfig</code> object from a named list. Not intended
for direct use by end users.

internal

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

.list_to_ResamplerConfig function

<dl><dt>x</dt>
<dd>Named list with the following elements:<dl>
<dt><code>type</code></dt>
<dd>Character: resampler type -- one of <code>"KFold"</code>,
<code>"StratSub"</code>, <code>"StratBoot"</code>, <code>"Bootstrap"</code>, <code>"LOOCV"</code>. <code>"Custom"</code> has
no wire form and is rejected here.</dd></dl></dd><dt><code>n_resamples</code></dt>
<dd>Integer: number of resamples (not used for <code>"LOOCV"</code>).</dd><dt><code>train_p</code></dt>
<dd>Numeric: training proportion (used by <code>"StratSub"</code> and
<code>"StratBoot"</code>).</dd><dt><code>stratify_var</code></dt>
<dd>Character or <code>NULL</code>: stratification variable name.</dd><dt><code>strat_n_bins</code></dt>
<dd>Integer: number of bins for stratification.</dd><dt><code>target_length</code></dt>
<dd>Integer or <code>NULL</code>: target resample length
(<code>"StratBoot"</code> only).</dd><dt><code>id_strat</code></dt>
<dd>Character or <code>NULL</code>: name of the grouping-ID column.</dd><dt><code>seed</code></dt>
<dd>Integer or <code>NULL</code>: random seed.</dd>
</dl>

Arguments

Author

Convert a list to a ResamplerConfig object — .list_to_ResamplerConfig

<dl>

<dt>x</dt>
<dd>Named list with the following elements:<dl>
<dt><code>type</code></dt>
<dd>Character: resampler type -- one of <code>"KFold"</code>,
<code>"StratSub"</code>, <code>"StratBoot"</code>, <code>"Bootstrap"</code>, <code>"LOOCV"</code>. <code>"Custom"</code> has
no wire form and is rejected here.</dd>

<dt><code>n_resamples</code></dt>
<dd>Integer: number of resamples (not used for <code>"LOOCV"</code>).</dd>

<dt><code>train_p</code></dt>
<dd>Numeric: training proportion (used by <code>"StratSub"</code> and
<code>"StratBoot"</code>).</dd>

<dt><code>stratify_var</code></dt>
<dd>Character or <code>NULL</code>: stratification variable name.</dd>

<dt><code>strat_n_bins</code></dt>
<dd>Integer: number of bins for stratification.</dd>

<dt><code>target_length</code></dt>
<dd>Integer or <code>NULL</code>: target resample length
(<code>"StratBoot"</code> only).</dd>

<dt><code>id_strat</code></dt>
<dd>Character or <code>NULL</code>: name of the grouping-ID column.</dd>

<dt><code>seed</code></dt>
<dd>Integer or <code>NULL</code>: random seed.</dd>


</dl></dd>

</dl>

.list_to_ResamplerConfig: Convert a list to a ResamplerConfig object

Description

Usage

Value

Arguments

Author

Examples