setup_DelimitedIngest

Creates the settings <code>ingest()</code> uses to read a delimited file.
Each format has its own constructor, which takes the settings of that format
only; an argument of another format is an unused-argument error.

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

setup_DelimitedIngest function

<dl><dt>columns</dt>
<dd>Optional Named vector: Declared column types, keyed by column
name, in the <code>profile/r/v1</code> vocabulary -- <code>c(Age = "integer")</code>. A column named
here is converted to the declared type after reading, replacing the type the
reader assigned.</dd>
<dt>character2factor</dt>
<dd>Logical: If TRUE, read character columns as factors.</dd>
<dt>clean_colnames</dt>
<dd>Logical: If TRUE, normalize column names.</dd>
<dt>remove_duplicates</dt>
<dd>Logical: If TRUE, drop rows repeating an earlier row.</dd>
<dt>reader</dt>
<dd>Character {"data.table", "vroom", "duckdb", "arrow"}: Library
used to read the file.</dd>
<dt>sep</dt>
<dd>Optional Character: Field separator. If <code>NULL</code>, the reader detects it.</dd>
<dt>quote</dt>
<dd>Character: Quote character.</dd>
<dt>na_strings</dt>
<dd>Character vector: Strings to read as missing.</dd></dl>

Arguments

Author

Set up a DelimitedIngestConfig — setup_DelimitedIngest

<dl>

<dt>columns</dt>
<dd>Optional Named vector: Declared column types, keyed by column
name, in the <code>profile/r/v1</code> vocabulary -- <code>c(Age = "integer")</code>. A column named
here is converted to the declared type after reading, replacing the type the
reader assigned.</dd>


<dt>character2factor</dt>
<dd>Logical: If TRUE, read character columns as factors.</dd>


<dt>clean_colnames</dt>
<dd>Logical: If TRUE, normalize column names.</dd>


<dt>remove_duplicates</dt>
<dd>Logical: If TRUE, drop rows repeating an earlier row.</dd>


<dt>reader</dt>
<dd>Character {"data.table", "vroom", "duckdb", "arrow"}: Library
used to read the file.</dd>


<dt>sep</dt>
<dd>Optional Character: Field separator. If <code>NULL</code>, the reader detects it.</dd>


<dt>quote</dt>
<dd>Character: Quote character.</dd>


<dt>na_strings</dt>
<dd>Character vector: Strings to read as missing.</dd>

</dl>

setup_DelimitedIngest: Set up a `DelimitedIngestConfig`

Description

Usage

Value

Arguments

Author

Examples