BoTorch MixedSingleTaskGP Regression Learner

Gaussian Process via botorch and gpytorch, using the MixedSingleTaskGP. Uses reticulate to interface with Python.

Dictionary

This Learner can be instantiated via lrn():

lrn("regr.botorch_mixedsingletaskgp")

Meta Information

• Task type: “regr”

• Predict Types: “response”, “se”

• Feature Types: “logical”, “integer”, “numeric”, “factor”

• Required Packages: mlr3, mlr3extralearners, reticulate

Parameters

Id	Type	Default	Levels
device	character	cpu	cpu, cuda

Author

Marc Becker

Super classes

mlr3::Learner -> mlr3::LearnerRegr -> LearnerRegrBotorchMixedSingleTaskGP

Active bindings

marshaled

(logical(1)) Whether the learner has been marshaled.

Methods

Public methods

• LearnerRegrBotorchMixedSingleTaskGP$new()

• LearnerRegrBotorchMixedSingleTaskGP$marshal()

• LearnerRegrBotorchMixedSingleTaskGP$unmarshal()

• LearnerRegrBotorchMixedSingleTaskGP$clone()

Inherited methods

• mlr3::Learner$base_learner()
• mlr3::Learner$configure()
• mlr3::Learner$encapsulate()
• mlr3::Learner$format()
• mlr3::Learner$help()
• mlr3::Learner$predict()
• mlr3::Learner$predict_newdata()
• mlr3::Learner$print()
• mlr3::Learner$reset()
• mlr3::Learner$selected_features()
• mlr3::Learner$train()
• mlr3::LearnerRegr$predict_newdata_fast()

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Method new()

Creates a new instance of this R6 class.

Usage

LearnerRegrBotorchMixedSingleTaskGP$new()

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Method marshal()

Marshal the learner's model.

Usage

LearnerRegrBotorchMixedSingleTaskGP$marshal(...)

Arguments

...

(any)
Additional arguments passed to mlr3::marshal_model().

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Method unmarshal()

Unmarshal the learner's model.

Usage

LearnerRegrBotorchMixedSingleTaskGP$unmarshal(...)

Arguments

...

(any)
Additional arguments passed to mlr3::unmarshal_model().

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Method clone()

The objects of this class are cloneable with this method.

Usage

LearnerRegrBotorchMixedSingleTaskGP$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.