...

Author: be-marc

DESCRIPTION

@@ -66,6 +66,8 @@ Suggests:
     rush,
     stringi,
     testthat (>= 3.0.0)
+Remotes:
+    mlr-org/bbotk
 ByteCompile: no
 Encoding: UTF-8
 Config/testthat/edition: 3
@@ -92,7 +94,7 @@ Collate:
     'AcqOptimizer.R'
     'aaa.R'
     'OptimizerAsyncMbo.R'
-    'OptimizerAsyncMboADBO.R'
+    'OptimizerADBO.R'
     'OptimizerMbo.R'
     'mlr_result_assigners.R'
     'ResultAssigner.R'
@@ -103,7 +105,7 @@ Collate:
     'SurrogateLearnerAsync.R'
     'SurrogateLearnerCollection.R'
     'TunerAsyncMbo.R'
-    'TunerAsyncMboADBO.R'
+    'TunerADBO.R'
     'TunerMbo.R'
     'mlr_loop_functions.R'
     'bayesopt_ego.R'

NAMESPACE

@@ -20,7 +20,7 @@ export(AcqFunctionStochasticCB)
 export(AcqFunctionStochasticEI)
 export(AcqOptimizer)
 export(OptimizerAsyncMbo)
-export(OptimizerAsyncMboADBO)
+export(OptimizerADBO)
 export(OptimizerMbo)
 export(ResultAssigner)
 export(ResultAssignerArchive)
@@ -30,7 +30,7 @@ export(SurrogateLearner)
 export(SurrogateLearnerAsync)
 export(SurrogateLearnerCollection)
 export(TunerAsyncMbo)
-export(TunerAsyncMboADBO)
+export(TunerADBO)
 export(TunerMbo)
 export(acqf)
 export(acqfs)

R/OptimizerAsyncMboADBO.R R/OptimizerADBO.RR/OptimizerAsyncMboADBO.R renamed to R/OptimizerADBO.R

@@ -2,7 +2,7 @@
 #' @name mlr_optimizers_adbo
 #'
 #' @description
-#' `OptimizerAsyncMboADBO` class that implements Asynchronous Decentralized Bayesian Optimization (ADBO).
+#' `OptimizerADBO` class that implements Asynchronous Decentralized Bayesian Optimization (ADBO).
 #' ADBO is a variant of Asynchronous Model Based Optimization (AMBO) that uses [AcqFunctionStochasticCB] with exponential lambda decay.
 #'
 #' @note
@@ -41,7 +41,7 @@
 #' * `r format_bib("egele_2023")`
 #'
 #' @export
-OptimizerAsyncMboADBO = R6Class("OptimizerAsyncMboADBO",
+OptimizerADBO = R6Class("OptimizerADBO",
   inherit = OptimizerAsyncMbo,
 
   public = list(
@@ -59,7 +59,7 @@ OptimizerAsyncMboADBO = R6Class("OptimizerAsyncMboADBO",
         id = "adbo",
         param_set = param_set,
         label = "Asynchronous Decentralized Bayesian Optimization",
-        man = "mlr3mbo::OptimizerAsyncMboADBO")
+        man = "mlr3mbo::OptimizerADBO")
 
       self$param_set$set_values(
         lambda = 1.96,
@@ -90,4 +90,4 @@ OptimizerAsyncMboADBO = R6Class("OptimizerAsyncMboADBO",
 )
 
 #' @include aaa.R
-optimizers[["adbo"]] = OptimizerAsyncMboADBO
+optimizers[["adbo"]] = OptimizerADBO

R/OptimizerAsyncMbo.R

@@ -60,7 +60,7 @@ OptimizerAsyncMbo = R6Class("OptimizerAsyncMbo",
       acq_optimizer = NULL,
       param_set = NULL,
       param_classes = c("ParamLgl", "ParamInt", "ParamDbl", "ParamFct"),
-      properties = c("dependencies", "single-crit"),
+      properties = c("dependencies", "single-crit", "async"),
       packages = c("mlr3mbo", "rush"),
       label = "Asynchronous Model Based Optimization",
       man = "mlr3mbo::OptimizerAsyncMbo"

R/TunerAsyncMboADBO.R R/TunerADBO.RR/TunerAsyncMboADBO.R renamed to R/TunerADBO.R

@@ -2,7 +2,7 @@
 #' @name mlr_tuners_adbo
 #'
 #' @description
-#' `TunerAsyncMboADBO` class that implements Asynchronous Decentralized Bayesian Optimization (ADBO).
+#' `TunerADBO` class that implements Asynchronous Decentralized Bayesian Optimization (ADBO).
 #' ADBO is a variant of Asynchronous Model Based Optimization (AMBO) that uses [AcqFunctionStochasticCB] with exponential lambda decay.
 #'
 #' @note
@@ -42,14 +42,14 @@
 #' * `r format_bib("egele_2023")`
 #'
 #' @export
-TunerAsyncMboADBO = R6Class("TunerAsyncMboADBO",
+TunerADBO = R6Class("TunerADBO",
   inherit = mlr3tuning::TunerAsyncFromOptimizerAsync,
   public = list(
 
    #' @description
    #' Creates a new instance of this [R6][R6::R6Class] class.
    initialize = function() {
-    optimizer = OptimizerAsyncMboADBO$new()
+    optimizer = OptimizerADBO$new()
 
      super$initialize(
        optimizer = optimizer,
@@ -60,4 +60,4 @@ TunerAsyncMboADBO = R6Class("TunerAsyncMboADBO",
 )
 
 #' @include aaa.R
-tuners[["adbo"]] = TunerAsyncMboADBO
+tuners[["adbo"]] = TunerADBO