plotLearningCurveGGVIS

[<code>LearningCurveData</code>]
Result of <code><a rd-options="" href="/link/generateLearningCurveData?package=mlr&version=2.9" data-mini-rdoc="mlr::generateLearningCurveData">generateLearningCurveData</a></code>.

[<code>character(1)</code>]
Selects &#147;measure&#148; or &#147;learner&#148; to be used in a Shiny application
making the <code>interaction</code> variable selectable via a drop-down menu.
This variable must have more than one unique value, otherwise it will be ignored.
The variable not chosen is mapped to color if it has more than one unique value.
Note that if there are multiple learners and multiple measures interactivity is
necessary as ggvis does not currently support facetting or subplots.
The default is &#147;measure&#148;.

interaction

[<code>logical(1)</code>]
Whether to use the <code><a rd-options="" href="/link/Measure?package=mlr&version=2.9" data-mini-rdoc="mlr::Measure">Measure</a></code> name instead of the id in the plot.
Default is <code>TRUE</code>.

pretty.names


Visualizes data size (percentage used for model) vs. performance measure(s).


Interface to a large number of classification and regression
techniques, including machine-readable parameter descriptions. There is
also an experimental extension for survival analysis, clustering and
general, example-specific cost-sensitive learning. Generic resampling,
including cross-validation, bootstrapping and subsampling. Hyperparameter
tuning with modern optimization techniques, for single- and multi-objective
problems. Filter and wrapper methods for feature selection. Extension of
basic learners with additional operations common in machine learning, also
allowing for easy nested resampling. Most operations can be parallelized.

Bernd Bischl

Machine Learning in R

plotLearningCurveGGVIS function

[<code>LearningCurveData</code>]
Result of <code><a rd-options='' href='generateLearningCurveData'>generateLearningCurveData</a></code>.

[<code>logical(1)</code>]
Whether to use the <code><a rd-options='' href='Measure'>Measure</a></code> name instead of the id in the plot.
Default is <code>TRUE</code>.

plotLearningCurveGGVIS: Plot learning curve data using ggvis.

Description

Usage

Arguments

Value

See Also