diff --git a/docs/articles/mlrMBO.html b/docs/articles/mlrMBO.html index 8aef8d610..2c52e56ee 100644 --- a/docs/articles/mlrMBO.html +++ b/docs/articles/mlrMBO.html @@ -250,27 +250,27 @@

## Optimization path ## 5 + 10 entries in total, displaying last 10 (or less): ## x y dob eol error.message exec.time ei -## 6 0.1424200502 0.08209419 1 NA <NA> 0.000 -3.210524e-02 -## 7 -0.0588246736 -0.05680169 2 NA <NA> 0.001 -2.895199e-02 -## 8 -0.0078732127 -0.09917425 3 NA <NA> 0.000 -4.124451e-03 -## 9 0.0009141747 -0.09998885 4 NA <NA> 0.000 -1.466116e-03 -## 10 -0.0024097515 -0.09992256 5 NA <NA> 0.000 -1.604071e-04 -## 11 0.0042120161 -0.09976347 6 NA <NA> 0.000 -7.865440e-05 -## 12 -0.0004870891 -0.09999684 7 NA <NA> 0.000 -3.759330e-05 -## 13 -0.5011545567 0.25296936 8 NA <NA> 0.000 -1.285448e-05 -## 14 0.0327576367 -0.08597808 9 NA <NA> 0.000 -1.576849e-05 -## 15 0.0001680801 -0.09999962 10 NA <NA> 0.000 -1.056037e-05 +## 6 0.1424200502 0.08209419 1 NA <NA> 0 -3.210524e-02 +## 7 -0.0588246736 -0.05680169 2 NA <NA> 0 -2.895199e-02 +## 8 -0.0078732127 -0.09917425 3 NA <NA> 0 -4.124451e-03 +## 9 0.0009141747 -0.09998885 4 NA <NA> 0 -1.466116e-03 +## 10 -0.0024097515 -0.09992256 5 NA <NA> 0 -1.604071e-04 +## 11 0.0042120161 -0.09976347 6 NA <NA> 0 -7.865440e-05 +## 12 -0.0004870891 -0.09999684 7 NA <NA> 0 -3.759330e-05 +## 13 -0.5011545567 0.25296936 8 NA <NA> 0 -1.285448e-05 +## 14 0.0327576367 -0.08597808 9 NA <NA> 0 -1.576849e-05 +## 15 0.0001680801 -0.09999962 10 NA <NA> 0 -1.056037e-05 ## error.model train.time prop.type propose.time se mean -## 6 <NA> 0.035 infill_ei 0.172 6.915038e-02 -0.10692782 -## 7 <NA> 0.021 infill_ei 0.149 7.141779e-02 -0.09923456 -## 8 <NA> 0.018 infill_ei 0.154 1.174788e-02 -0.09714734 -## 9 <NA> 0.020 infill_ei 0.152 1.928583e-03 -0.10030883 -## 10 <NA> 0.018 infill_ei 0.180 4.588194e-04 -0.09994165 -## 11 <NA> 0.021 infill_ei 0.162 4.002964e-04 -0.09978701 -## 12 <NA> 0.019 infill_ei 0.169 8.531091e-05 -0.09999575 -## 13 <NA> 0.020 infill_ei 0.159 1.710841e-01 0.48794187 -## 14 <NA> 0.028 infill_ei 0.156 6.453531e-03 -0.08427947 -## 15 <NA> 0.019 infill_ei 0.163 2.269214e-05 -0.09999971 +## 6 <NA> 0.044 infill_ei 0.195 6.915038e-02 -0.10692782 +## 7 <NA> 0.024 infill_ei 0.189 7.141779e-02 -0.09923456 +## 8 <NA> 0.028 infill_ei 0.201 1.174788e-02 -0.09714734 +## 9 <NA> 0.022 infill_ei 0.189 1.928583e-03 -0.10030883 +## 10 <NA> 0.024 infill_ei 0.255 4.588194e-04 -0.09994165 +## 11 <NA> 0.030 infill_ei 0.237 4.002964e-04 -0.09978701 +## 12 <NA> 0.031 infill_ei 0.239 8.531091e-05 -0.09999575 +## 13 <NA> 0.028 infill_ei 0.266 1.710841e-01 0.48794187 +## 14 <NA> 0.048 infill_ei 0.266 6.453531e-03 -0.08427947 +## 15 <NA> 0.034 infill_ei 0.274 2.269214e-05 -0.09999971
diff --git a/docs/articles/supplementary/adaptive_infill_criteria.html b/docs/articles/supplementary/adaptive_infill_criteria.html index f09d88709..0967e3e08 100644 --- a/docs/articles/supplementary/adaptive_infill_criteria.html +++ b/docs/articles/supplementary/adaptive_infill_criteria.html @@ -148,12 +148,12 @@

## 17 1.722560e-06 0.8451022455 1.690776e-12 9 NA <NA> 0 ## 18 3.387556e-02 0.0000185278 6.378493e-08 10 NA <NA> 0 ## adacb error.model train.time prop.type propose.time -## 13 -0.046950329 <NA> 0.084 infill_adacb 0.261 -## 14 -0.032767558 <NA> 0.064 infill_adacb 0.250 -## 15 -0.020169425 <NA> 0.272 infill_adacb 0.208 -## 16 -0.012337366 <NA> 0.072 infill_adacb 0.282 -## 17 -0.007385376 <NA> 0.095 infill_adacb 0.277 -## 18 -0.005424012 <NA> 0.053 infill_adacb 0.297 +## 13 -0.046950329 <NA> 0.068 infill_adacb 0.341 +## 14 -0.032767558 <NA> 0.102 infill_adacb 0.375 +## 15 -0.020169425 <NA> 0.091 infill_adacb 0.335 +## 16 -0.012337366 <NA> 0.059 infill_adacb 0.326 +## 17 -0.007385376 <NA> 0.070 infill_adacb 0.306 +## 18 -0.005424012 <NA> 0.050 infill_adacb 0.234 ## se mean lambda ## 13 0.077479887 0.0498995297 1.25 ## 14 0.027061084 -0.0030003658 1.10 diff --git a/docs/articles/supplementary/human_in_the_loop_MBO.html b/docs/articles/supplementary/human_in_the_loop_MBO.html index d6fa8e9f7..09d716843 100644 --- a/docs/articles/supplementary/human_in_the_loop_MBO.html +++ b/docs/articles/supplementary/human_in_the_loop_MBO.html @@ -156,7 +156,7 @@

## 150 1.011225 -1 ## ## $propose.time -## [1] 0.199 +## [1] 0.214 ## ## $prop.type ## [1] "infill_ei" @@ -187,7 +187,7 @@

## 905 0.9927394 0 ## ## $propose.time -## [1] 0.25 +## [1] 0.264 ## ## $prop.type ## [1] "infill_ei" @@ -234,7 +234,7 @@

## 989 1.999999 -2 ## ## $propose.time -## [1] 0.247 +## [1] 0.394 ## ## $prop.type ## [1] "infill_ei" @@ -284,7 +284,7 @@

## 900 1.836608 ## ## $propose.time -## [1] 0.195 +## [1] 0.299 ## ## $prop.type ## [1] "infill_ei" @@ -323,7 +323,7 @@

## 839 0.09192547 1 ## ## $propose.time -## [1] 0.202 0.202 0.218 0.214 +## [1] 0.330 0.329 0.314 0.322 ## ## $prop.type ## [1] "infill_ei" "infill_ei" "infill_ei" "infill_ei" diff --git a/docs/articles/supplementary/machine_learning_with_mlrmbo.html b/docs/articles/supplementary/machine_learning_with_mlrmbo.html index 6e60827a8..370568507 100644 --- a/docs/articles/supplementary/machine_learning_with_mlrmbo.html +++ b/docs/articles/supplementary/machine_learning_with_mlrmbo.html @@ -168,27 +168,27 @@

## Optimization path ## 8 + 5 entries in total, displaying last 10 (or less): ## cost gamma y dob eol error.message exec.time -## 4 1.980396 7.0965714 0.64666667 0 NA <NA> 0.175 -## 5 9.567881 -2.0376947 0.09333333 0 NA <NA> 0.150 -## 6 -11.411875 9.2000031 0.78666667 0 NA <NA> 0.134 -## 7 13.790890 13.3973753 0.73333333 0 NA <NA> 0.174 +## 4 1.980396 7.0965714 0.64666667 0 NA <NA> 0.172 +## 5 9.567881 -2.0376947 0.09333333 0 NA <NA> 0.155 +## 6 -11.411875 9.2000031 0.78666667 0 NA <NA> 0.150 +## 7 13.790890 13.3973753 0.73333333 0 NA <NA> 0.165 ## 8 -10.864032 -11.6256564 0.70666667 0 NA <NA> 0.148 -## 9 -7.169453 -3.2438288 0.72000000 1 NA <NA> 0.149 +## 9 -7.169453 -3.2438288 0.72000000 1 NA <NA> 0.148 ## 10 4.873466 -1.5862594 0.05333333 2 NA <NA> 0.147 -## 11 6.940316 -3.1489450 0.06666667 3 NA <NA> 0.140 -## 12 4.559894 0.3454336 0.06000000 4 NA <NA> 0.145 -## 13 9.140613 -5.1243985 0.04000000 5 NA <NA> 0.151 +## 11 6.940316 -3.1489450 0.06666667 3 NA <NA> 0.147 +## 12 4.559894 0.3454336 0.06000000 4 NA <NA> 0.155 +## 13 9.140613 -5.1243985 0.04000000 5 NA <NA> 0.161 ## cb error.model train.time prop.type propose.time se ## 4 NA <NA> NA initdesign NA NA ## 5 NA <NA> NA initdesign NA NA ## 6 NA <NA> NA initdesign NA NA ## 7 NA <NA> NA initdesign NA NA ## 8 NA <NA> NA initdesign NA NA -## 9 -0.03268684 <NA> 0.095 infill_cb 0.341 0.10408864 -## 10 -0.09861354 <NA> 0.211 infill_cb 0.343 0.16931643 -## 11 -0.04146501 <NA> 0.195 infill_cb 0.350 0.06947131 -## 12 -0.04353029 <NA> 0.067 infill_cb 0.344 0.11964192 -## 13 -0.01954295 <NA> 0.082 infill_cb 0.341 0.10518207 +## 9 -0.03268684 <NA> 0.096 infill_cb 0.346 0.10408864 +## 10 -0.09861354 <NA> 0.122 infill_cb 0.341 0.16931643 +## 11 -0.04146501 <NA> 0.072 infill_cb 0.354 0.06947131 +## 12 -0.04353029 <NA> 0.075 infill_cb 0.362 0.11964192 +## 13 -0.01954295 <NA> 0.084 infill_cb 0.310 0.10518207 ## mean lambda ## 4 NA NA ## 5 NA NA diff --git a/docs/articles/supplementary/mlrmbo_and_the_command_line.html b/docs/articles/supplementary/mlrmbo_and_the_command_line.html index eb935c123..b7159050d 100644 --- a/docs/articles/supplementary/mlrmbo_and_the_command_line.html +++ b/docs/articles/supplementary/mlrmbo_and_the_command_line.html @@ -220,15 +220,15 @@

## [mbo] 0: x1=2.76; x2=2.23 : y = 13.6 : 0.0 secs : initdesign ## [mbo] 0: x1=-2.17; x2=-1.94 : y = 8.51 : 0.0 secs : initdesign ## [mbo] 1: x1=-0.0992; x2=0.0458 : y = 0.879 : 0.0 secs : infill_ei -## [mbo] 2: x1=-0.639; x2=2.5 : y = 5.66 : 0.1 secs : infill_ei +## [mbo] 2: x1=-0.639; x2=2.5 : y = 5.66 : 0.0 secs : infill_ei ## [mbo] 3: x1=0.484; x2=0.000517 : y = 0.259 : 0.0 secs : infill_ei ## [mbo] 4: x1=0.644; x2=0.47 : y = 0.288 : 0.0 secs : infill_ei ## [mbo] 5: x1=0.598; x2=-2.5 : y = 6.22 : 0.0 secs : infill_ei ## [mbo] 6: x1=-0.677; x2=-0.525 : y = 0.261 : 0.0 secs : infill_ei -## [mbo] 7: x1=0.423; x2=0.388 : y = 0.215 : 0.1 secs : infill_ei +## [mbo] 7: x1=0.423; x2=0.388 : y = 0.215 : 0.0 secs : infill_ei ## [mbo] 8: x1=-0.92; x2=-0.709 : y = 0.41 : 0.0 secs : infill_ei ## [mbo] 9: x1=0.516; x2=0.281 : y = 0.12 : 0.0 secs : infill_ei -## [mbo] 10: x1=-0.745; x2=-0.847 : y = 0.289 : 0.3 secs : infill_ei +## [mbo] 10: x1=-0.745; x2=-0.847 : y = 0.289 : 0.0 secs : infill_ei # The resulting optimal configuration: run$x ## $x1 diff --git a/docs/reference/mbo.html b/docs/reference/mbo.html index 1b160f3c8..c3ed8df24 100644 --- a/docs/reference/mbo.html +++ b/docs/reference/mbo.html @@ -223,13 +223,8 @@

Examp des = generateDesign(n = 5L, getParamSet(obj.fun), fun = lhs::maximinLHS) # start mbo -res = mbo(obj.fun, design = des, control = ctrl)

#> Loading required package: rgenoud
#> ## rgenoud (Version 5.8-2.0, Build Date: 2018-04-03) -#> ## See http://sekhon.berkeley.edu/rgenoud for additional documentation. -#> ## Please cite software as: -#> ## Walter Mebane, Jr. and Jasjeet S. Sekhon. 2011. -#> ## ``Genetic Optimization Using Derivatives: The rgenoud package for R.'' -#> ## Journal of Statistical Software, 42(11): 1-26. -#> ##
+res = mbo(obj.fun, design = des, control = ctrl) + print(res)
#> Recommended parameters: #> x=-0.0306,-0.0169 #> Objective: y = -0.016 @@ -237,23 +232,23 @@

Examp #> Optimization path #> 5 + 3 entries in total, displaying last 10 (or less): #> x1 x2 y dob eol error.message exec.time -#> 1 -0.96769994 -0.26626679 0.67331156 0 NA <NA> 0 -#> 2 0.44030435 0.66288338 0.80926007 0 NA <NA> 0 -#> 3 -0.19704022 -0.01344260 0.02538265 0 NA <NA> 0 -#> 4 -0.40088904 0.31590690 0.47139064 0 NA <NA> 0 -#> 5 0.89315279 -0.69099140 0.16042044 0 NA <NA> 0 -#> 6 -0.03064098 -0.01689882 -0.01595915 1 NA <NA> 0 -#> 7 0.74929441 -0.04045232 0.52100082 2 NA <NA> 0 -#> 8 -0.92334595 -0.01841571 0.83415307 3 NA <NA> 0 +#> 1 -0.96769994 -0.26626679 0.67331156 0 NA <NA> 0.001 +#> 2 0.44030435 0.66288338 0.80926007 0 NA <NA> 0.000 +#> 3 -0.19704022 -0.01344260 0.02538265 0 NA <NA> 0.000 +#> 4 -0.40088904 0.31590690 0.47139064 0 NA <NA> 0.000 +#> 5 0.89315279 -0.69099140 0.16042044 0 NA <NA> 0.000 +#> 6 -0.03064098 -0.01689882 -0.01595915 1 NA <NA> 0.000 +#> 7 0.74929441 -0.04045232 0.52100082 2 NA <NA> 0.000 +#> 8 -0.92334595 -0.01841571 0.83415307 3 NA <NA> 0.000 #> cb error.model train.time prop.type propose.time se #> 1 NA <NA> NA initdesign NA NA #> 2 NA <NA> NA initdesign NA NA #> 3 NA <NA> NA initdesign NA NA #> 4 NA <NA> NA initdesign NA NA #> 5 NA <NA> NA initdesign NA NA -#> 6 -0.07233364 <NA> 0.072 infill_cb 0.155 0.1763127 -#> 7 -0.17097244 <NA> 0.044 infill_cb 0.162 0.1632562 -#> 8 -0.08533772 <NA> 0.045 infill_cb 0.136 0.1050546 +#> 6 -0.07233364 <NA> 0.101 infill_cb 0.210 0.1763127 +#> 7 -0.17097244 <NA> 0.071 infill_cb 0.273 0.1632562 +#> 8 -0.08533772 <NA> 0.602 infill_cb 0.231 0.1050546 #> mean lambda #> 1 NA NA #> 2 NA NA diff --git a/docs/reference/setMBOControlTermination.html b/docs/reference/setMBOControlTermination.html index da343cc83..b57b715e3 100644 --- a/docs/reference/setMBOControlTermination.html +++ b/docs/reference/setMBOControlTermination.html @@ -263,7 +263,7 @@

Examp #> 2 NA initdesign NA NA NA NA #> 3 NA initdesign NA NA NA NA #> 4 NA initdesign NA NA NA NA -#> 5 0.029 infill_cb 0.15 1.490817 -0.3749323 1

+#> 5 0.048 infill_cb 0.251 1.490817 -0.3749323 1