TerminatorNone

mlr_terminators_none

Mainly useful for grid search, or maybe other tuners, where the stopping is inherently controlled by the tuner itself.

datasets

Implements methods for hyperparameter tuning with
'mlr3', e.g. Grid Search, Random Search, or Simulated Annealing.
Various termination criteria can be set and combined.  The class
'AutoTuner' provides a convenient way to perform nested resampling in
combination with 'mlr3'.

Michel Lang

mlr3tuning

Tuning for 'mlr3'

Jakob Richter

Bernd Bischl

Daniel Schalk

TerminatorNone function

<a rd-options="R6:R6Class" href="/link/R6%3A%3AR6Class?package=mlr3tuning&version=0.1.0&to=R6%3AR6Class" data-mini-rdoc="R6:R6Class::R6::R6Class">R6::R6Class</a> object inheriting from <a rd-options="" href="/link/Terminator?package=mlr3tuning&version=0.1.0" data-mini-rdoc="mlr3tuning::Terminator">Terminator</a>.

Format

<pre>t = TerminatorNone$new()
term("none")
</pre>

Construction

Terminator that never stops. — TerminatorNone

<a rd-options='R6:R6Class' href='R6::R6Class'>R6::R6Class</a> object inheriting from <a rd-options='' href='Terminator'>Terminator</a>.

TerminatorNone: Terminator that never stops.

Description

Arguments

Format

Construction

See Also