Merge remote-tracking branch 'origin/main' into no_suggest

Author: sumny

DESCRIPTION

@@ -1,7 +1,7 @@
 Type: Package
 Package: mlr3mbo
 Title: Flexible Bayesian Optimization
-Version: 0.2.9.9000
+Version: 0.3.0.9000
 Authors@R: c(
     person("Lennart", "Schneider", , "[email protected]", role = c("cre", "aut"),
            comment = c(ORCID = "0000-0003-4152-5308")),
@@ -39,15 +39,15 @@ License: LGPL-3
 URL: https://mlr3mbo.mlr-org.com, https://github.com/mlr-org/mlr3mbo
 BugReports: https://github.com/mlr-org/mlr3mbo/issues
 Depends:
-    mlr3tuning (>= 1.1.0),
+    mlr3tuning (>= 1.4.0),
     R (>= 3.1.0)
 Imports:
-    bbotk (>= 1.2.0),
+    bbotk (>= 1.6.0),
     checkmate (>= 2.0.0),
     data.table,
     lgr (>= 0.3.4),
-    mlr3 (>= 0.22.1),
-    mlr3misc (>= 0.11.0),
+    mlr3 (>= 0.23.0),
+    mlr3misc (>= 0.15.1),
     paradox (>= 1.0.1),
     spacefillr,
     R6 (>= 2.4.1)
@@ -56,8 +56,8 @@ Suggests:
     emoa,
     fastGHQuad,
     lhs,
-    mlr3learners (>= 0.5.4),
-    mlr3pipelines (>= 0.4.2),
+    mlr3learners (>= 0.7.0),
+    mlr3pipelines (>= 0.5.2),
     nloptr,
     ranger,
     rgenoud,

NEWS.md

@@ -1,5 +1,13 @@
 # mlr3mbo (development version)
 
+# mlr3mbo 0.3.0
+
+* fix: logger changes related to bbotk.
+* fix: assure that candidates after acquisition function optimization are always within bounds.
+* perf: minor changes to speed up predictions with `SurrogateLearner` and `SurrogateLearnerCollection`.
+* feat: added supported for input and output transformations (see `InputTrafo`, `OutputTrafo` and the related classes).
+* refactor: dropped functionality to assert insample performance of the surrogate model completely.
+
 # mlr3mbo 0.2.9
 
 * chore: silence rush logger and fixed some partial matches, depend on mlr3 >= 0.22.1.

R/AcqOptimizer.R

@@ -150,7 +150,7 @@ AcqOptimizer = R6Class("AcqOptimizer",
     optimize = function() {
       is_multi_acq_function = self$acq_function$codomain$length > 1L
 
-      lg = lgr::get_logger("bbotk")
+      lg = lgr::get_logger("mlr3/bbotk")
       old_threshold = lg$threshold
       lg$set_threshold(self$param_set$values$logging_level)
       on.exit(lg$set_threshold(old_threshold))

R/OptimizerAsyncMbo.R

@@ -218,7 +218,7 @@ OptimizerAsyncMbo = R6Class("OptimizerAsyncMbo",
 
       check_packages_installed(self$packages, msg = sprintf("Package '%%s' required but not installed for Optimizer '%s'", format(self)))
 
-      lg = lgr::get_logger("bbotk")
+      lg = lgr::get_logger("mlr3/bbotk")
       pv = self$param_set$values
 
       # initial design
@@ -331,7 +331,7 @@ OptimizerAsyncMbo = R6Class("OptimizerAsyncMbo",
     .result_assigner = NULL,
 
     .optimize = function(inst) {
-      lg = lgr::get_logger("bbotk")
+      lg = lgr::get_logger("mlr3/bbotk")
       lg$debug("Optimizer '%s' evaluates the initial design", self$id)
       get_private(inst)$.eval_queue()
 

R/OptimizerMbo.R

@@ -335,7 +335,7 @@ OptimizerMbo = R6Class("OptimizerMbo",
           {
             self$surrogate$update()
           }, surrogate_update_error = function(error_condition) {
-            lg = lgr::get_logger("bbotk")
+            lg = lgr::get_logger("mlr3/bbotk")
             lg$warn("Could not update the surrogate a final time after the optimization process has terminated.")
           }
         )

R/zzz.R

@@ -30,7 +30,9 @@ register_mlr3tuning = function() {
   register_namespace_callback(pkgname, "bbotk", register_bbotk)
   register_namespace_callback(pkgname, "mlr3tuning", register_mlr3tuning)
 
-  assign("lg", lgr::get_logger("bbotk"), envir = parent.env(environment()))
+  #https://github.com/mlr-org/bbotk/blob/ae6cac60f71b3c44ce1bb29669f5d06cddeb95d4/R/zzz.R#L20
+  lg = lgr::get_logger("mlr3/bbotk")
+  assign("lg", lg, envir = parent.env(environment()))
 
   if (Sys.getenv("IN_PKGDOWN") == "true") {
     lg$set_threshold("warn")