as_search_space

as_search_space.Learner

as_search_space.ParamSet

Hyperparameter optimization package of the 'mlr3' ecosystem. It
features highly configurable search spaces via the 'paradox' package and
finds optimal hyperparameter configurations for any 'mlr3' learner.
'mlr3tuning' works with several optimization algorithms e.g. Random
Search, Iterated Racing, Bayesian Optimization (in 'mlr3mbo') and
Hyperband (in 'mlr3hyperband'). Moreover, it can automatically optimize
learners and estimate the performance of optimized models with nested
resampling.

Marc Becker

mlr3tuning

Hyperparameter Optimization for 'mlr3'

Michel Lang

Jakob Richter

Bernd Bischl

Daniel Schalk

as_search_space function

<dl><dt>x</dt>
<dd>(<code>any</code>) 
Object to convert to search space.</dd>
<dt>...</dt>
<dd>(any) 
Additional arguments.</dd></dl>

Arguments

Convert to a Search Space — as_search_space

<dl>

<dt>x</dt>
<dd>(<code>any</code>) 
Object to convert to search space.</dd>


<dt>...</dt>
<dd>(any) 
Additional arguments.</dd>

</dl>

Convert to a Search Space

as_search_space: Convert to a Search Space

Description

Usage

Value

Arguments