.list_to_TunerConfig

Internal function used by <code>rtemis.server</code> and <code>SuperConfig</code> deserialization
to reconstruct a <code>TunerConfig</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_TunerConfig function

<dl><dt>x</dt>
<dd>Named list: <code>type</code> (Character: tuner type; currently only
<code>"GridSearch"</code> is supported) plus, as its siblings, the tuner's settings.
For <code>"GridSearch"</code>: <code>resampler_config</code> (a list accepted by
<code>.list_to_ResamplerConfig()</code>), <code>search_type</code>, <code>randomize_p</code>,
<code>metrics_aggregate_fn</code>, <code>metric</code>, and <code>maximize</code>. A list holding only
<code>type</code> is that tuner with every default.</dd></dl>

Arguments

Author

Convert a list to a TunerConfig object — .list_to_TunerConfig

<dl>

<dt>x</dt>
<dd>Named list: <code>type</code> (Character: tuner type; currently only
<code>"GridSearch"</code> is supported) plus, as its siblings, the tuner's settings.
For <code>"GridSearch"</code>: <code>resampler_config</code> (a list accepted by
<code>.list_to_ResamplerConfig()</code>), <code>search_type</code>, <code>randomize_p</code>,
<code>metrics_aggregate_fn</code>, <code>metric</code>, and <code>maximize</code>. A list holding only
<code>type</code> is that tuner with every default.</dd>

</dl>

.list_to_TunerConfig: Convert a list to a TunerConfig object

Description

Usage

Value

Arguments

Author

Examples