to_markdown

Render a writeup, review or AI review as Markdown, the text write_text
writes to a file and rtemislive displays. Top-level sections are <code>##</code>
headings, so the text can be placed under a title of the reader's choosing.

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

to_markdown function

<dl><dt>x</dt>
<dd><code>SupervisedWriteup</code>, <code>SupervisedReview</code> or <code>AISupervisedReview</code>
object.</dd>
<dt>...</dt>
<dd>Not used.</dd></dl>

Arguments

Author

Render a report as Markdown — to_markdown

<dl>

<dt>x</dt>
<dd><code>SupervisedWriteup</code>, <code>SupervisedReview</code> or <code>AISupervisedReview</code>
object.</dd>


<dt>...</dt>
<dd>Not used.</dd>

</dl>

to_markdown: Render a report as Markdown

Description

Usage

Value

Arguments

Author

Examples