reexports

ddSci

labelify

clean_names

clean_colnames

write_JSONSchema

These objects are imported from other packages. Follow the links
below to see their documentation.
<dl>
 <dt>rtemis.core</dt>
<dd><code>clean_colnames()</code>, <code>clean_names()</code>, <code>ddSci()</code>, <code>labelify()</code>, <code>write_JSONSchema()</code></dd>
</dl>

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

reexports function

These objects are imported from other packages. Follow the links
below to see their documentation.
<dl>
 <dt>rtemis.core</dt>
<dd><code>clean_colnames()</code>, <code>clean_names()</code>, <code>ddSci()</code>, <code>labelify()</code>, <code>write_JSONSchema()</code></dd>


</dl>

Objects exported from other packages — reexports

Objects exported from other packages

reexports: Objects exported from other packages

Description

Arguments