dot-supervised_algorithms: Supervised algorithm catalog
In rtemis: Schema-Driven Machine Learning and Visualization
.supervised_algorithms R Documentation
Supervised algorithm catalog
Description
Returns the supervised algorithm catalog: one row per algorithm, with its
canonical name, description, supported tasks, and data traits.
Usage
.supervised_algorithms()
Details
Exported for rtemis.server, which serves the catalog to its clients.
Value
data.frame with columns name and description (character), and
classification, regression, survival, handles_missing_data, and
handles_p_greater_than_n (logical). A data trait is NA for a meta
learner, whose traits are those of its base learners.
Author(s)
EDG
Examples
.supervised_algorithms()[, c("name", "classification", "regression")]
rtemis documentation built on Oct. 20, 2026, 1:06 a.m.
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| .supervised_algorithms | R Documentation |
Supervised algorithm catalog
Description
Returns the supervised algorithm catalog: one row per algorithm, with its canonical name, description, supported tasks, and data traits.
Usage
.supervised_algorithms()
Details
Exported for rtemis.server, which serves the catalog to its clients.
Value
data.frame with columns name and description (character), and
classification, regression, survival, handles_missing_data, and
handles_p_greater_than_n (logical). A data trait is NA for a meta
learner, whose traits are those of its base learners.
Author(s)
EDG
Examples
.supervised_algorithms()[, c("name", "classification", "regression")]
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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