data_profile

Measures the facts validate_config checks a config against: dimensions,
column types, distinct and missing counts per column, level counts for
low-cardinality categorical columns, and the number of complete cases.

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

data_profile function

<dl><dt>x</dt>
<dd>tabular data: The dataset.</dd>
<dt>n_duplicates</dt>
<dd>Logical: If TRUE, count rows that repeat an earlier row.
The one whole-table operation here; FALSE leaves the field NULL.</dd>
<dt>fingerprint</dt>
<dd>Logical: If TRUE, record a data_fingerprint of <code>x</code>.
Hashes the whole dataset, so it is off by default.</dd></dl>

Arguments

Author

Profile a dataset — data_profile

<dl>

<dt>x</dt>
<dd>tabular data: The dataset.</dd>


<dt>n_duplicates</dt>
<dd>Logical: If TRUE, count rows that repeat an earlier row.
The one whole-table operation here; FALSE leaves the field NULL.</dd>


<dt>fingerprint</dt>
<dd>Logical: If TRUE, record a data_fingerprint of <code>x</code>.
Hashes the whole dataset, so it is off by default.</dd>

</dl>

data_profile: Profile a dataset

Description

Usage

Value

Arguments

Author

Details

Examples