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release: 0.2.3 (#148)
* release: 0.2.3 * chore: bump version * fix: AcqFunction label and man * chore: remove remotes * docs: remove links * fix: links
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DESCRIPTION

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Type: Package
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Package: mlr3mbo
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Title: Flexible Bayesian Optimization
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Version: 0.2.2.9000
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Version: 0.2.3
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Authors@R: c(
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person("Lennart", "Schneider", , "[email protected]", role = c("cre", "aut"),
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comment = c(ORCID = "0000-0003-4152-5308")),
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Depends:
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R (>= 3.1.0)
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Imports:
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bbotk (>= 0.8.0.9000),
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bbotk (>= 1.0.0),
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checkmate (>= 2.0.0),
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data.table,
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lgr (>= 0.3.4),
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mlr3 (>= 0.14.0),
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mlr3misc (>= 0.11.0),
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mlr3tuning (>= 0.20.0.9000),
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paradox (>= 0.10.0),
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mlr3tuning (>= 1.0.0),
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paradox (>= 1.0.0),
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spacefillr,
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R6 (>= 2.4.1)
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Suggests:
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rpart,
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stringi,
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testthat (>= 3.0.0)
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Remotes:
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mlr-org/bbotk,
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mlr-org/mlr3tuning,
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ByteCompile: no
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Encoding: UTF-8
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Config/testthat/edition: 3

NEWS.md

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# mlr3mbo 0.2.2.9000
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# mlr3mbo 0.2.3
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* compatibility: Work with new bbotk and mlr3tuning version 1.0.0.
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# mlr3mbo 0.2.2
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#' @field feature_types (`character()`)\cr
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#' Stores the feature types the surrogate can handle, e.g. `"logical"`, `"numeric"`, or `"factor"`.
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#' A complete list of candidate feature types, grouped by task type, is stored in [`mlr_reflections$task_feature_types`][mlr_reflections].
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#' A complete list of candidate feature types, grouped by task type, is stored in [`mlr_reflections$task_feature_types`][mlr3::mlr_reflections].

man-roxygen/field_properties.R

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#' @field properties (`character()`)\cr
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#' Set of properties of the optimizer.
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#' Must be a subset of [`bbotk_reflections$optimizer_properties`][bbotk_reflections].
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#' Must be a subset of [`bbotk_reflections$optimizer_properties`][bbotk::bbotk_reflections].
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#' MBO in principle is very flexible and by default we assume that the optimizer has all properties.
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#' When fully initialized, properties are determined based on the `loop_function` and `surrogate`.
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#' @field properties (`character()`)\cr
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#' Stores a set of properties/capabilities the surrogate has.
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#' A complete list of candidate properties, grouped by task type, is stored in [`mlr_reflections$learner_properties`][mlr_reflections].
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#' A complete list of candidate properties, grouped by task type, is stored in [`mlr_reflections$learner_properties`][mlr3::mlr_reflections].

man/Surrogate.Rd

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man/SurrogateLearner.Rd

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man/SurrogateLearnerCollection.Rd

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man/mlr_optimizers_mbo.Rd

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man/mlr_tuners_mbo.Rd

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