Handy way to create the param set with too much typing.<p></p><p>The following is done automatically:
<ul><li>The<code>selected.learner</code>param is created</li></ul>
<item>Parameter names are prefixed.</item>
<item>The <code>requires</code> field of each param is set.
  This makes all parameters subordinate to <code>selected.learner</code></item></p>

makeModelMultiplexerParamSet

Interface to a large number of classification and regression
    techniques, including machine-readable parameter descriptions. There is
    also a n experimental extension for surival analysis and cost-sensitive
    learning. Generic resampling, including cross-validation, bootstrapping and
    subsampling. Hyperparameter tuning with modern optimization techniques.
    Filter and wrapper methods for feature selection. Extension of basic
    learners with additional operations common in machine learning.

makeModelMultiplexerParamSet: Creates a parameter set for model multiplexer tuning.

Description

Usage

Arguments

Value

See Also

Examples