.list_to_PreprocessorConfig

Internal function used to reconstruct a <code>PreprocessorConfig</code> object from a
named list, such as the result of parsing a JSON config conforming to the
schema.rtemis.org preprocessor schema. Elements are passed to
setup_Preprocessor; document metadata (<code>$schema</code>) is dropped first, since
it identifies the document.

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_PreprocessorConfig function

<dl><dt>x</dt>
<dd>Named list of <code>setup_Preprocessor</code> parameters.</dd></dl>

Arguments

Author

Convert a list to a PreprocessorConfig object — .list_to_PreprocessorConfig

<dl>

<dt>x</dt>
<dd>Named list of <code>setup_Preprocessor</code> parameters.</dd>

</dl>

.list_to_PreprocessorConfig: Convert a list to a PreprocessorConfig object

Description

Usage

Value

Arguments

Author

Details

Examples