Incremented Version

Author: AnotherSamWilson

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: ParBayesianOptimization
 Title: Parallel Bayesian Optimization of Hyperparameters
-Version: 1.2.0
+Version: 1.2.1
 Authors@R: person("Samuel", "Wilson", email = "[email protected]", role = c("aut", "cre"))
 Description: Fast, flexible framework for implementing Bayesian optimization of model 
 	hyperparameters according to the methods described in Snoek et al. <arXiv:1206.2944>.

NEWS.md

@@ -1,11 +1,14 @@
+## ParBayesianOptimization 1.2.1  
+### Changes  
+Fixed a bug with initgrid on scoring functions with dimensionality over 4.
+
 ## ParBayesianOptimization 1.2.0
 
-# Changes
+### Changes
 Improved the way error handling works - any errors encountered in initialization will be returned.
 
 ## ParBayesianOptimization 1.1.0
-
-# Changes
+### Changes
 Changed Gaussian Process package to DiceKriging. predict method is much faster.
 Added errorHandling parameter - bayesOpt() and addIterations() should now return results no matter what, unless errorHandling = 'stop'
 Added otherHalting parameter.

README.md

@@ -4,7 +4,7 @@
 [![Build
 Status](https://api.travis-ci.org/AnotherSamWilson/ParBayesianOptimization.svg)](https://travis-ci.org/AnotherSamWilson/ParBayesianOptimization)
 [![CRAN\_Status\_Badge](http://www.r-pkg.org/badges/version/ParBayesianOptimization)](https://CRAN.R-project.org/package=ParBayesianOptimization)
-[![DEV\_Version\_Badge](https://img.shields.io/badge/Dev-1.2.0-blue.svg)](https://CRAN.R-project.org/package=ParBayesianOptimization)
+[![DEV\_Version\_Badge](https://img.shields.io/badge/Dev-1.2.1-blue.svg)](https://CRAN.R-project.org/package=ParBayesianOptimization)
 [![CRAN\_Downloads](https://cranlogs.r-pkg.org/badges/ParBayesianOptimization)](https://CRAN.R-project.org/package=ParBayesianOptimization)
 [![Coverage
 Status](https://codecov.io/gh/AnotherSamWilson/ParBayesianOptimization/branch/master/graph/badge.svg)](https://codecov.io/gh/AnotherSamWilson/ParBayesianOptimization/branch/master)
@@ -135,7 +135,7 @@ follows:
 
 <center>
 
-<img src="vignettes/UtilityFunctions.png" style="display: block; margin: auto;" />
+<img src="vignettes/UtilityFunctions.png" width="648" style="display: block; margin: auto;" />
 
 </center>
 
@@ -315,14 +315,14 @@ to see the results:
 ``` r
 optObj$scoreSummary
 #>    Epoch Iteration max_depth min_child_weight subsample gpUtility acqOptimum inBounds Elapsed     Score nrounds errorMessage
-#> 1:     0         1         2         1.670129 0.7880670        NA      FALSE     TRUE    0.07 0.9777163       2           NA
-#> 2:     0         2         2        14.913213 0.8763154        NA      FALSE     TRUE    0.15 0.9763760      15           NA
-#> 3:     0         3         4        18.833690 0.3403900        NA      FALSE     TRUE    0.20 0.9931657      18           NA
-#> 4:     0         4         4         8.639925 0.5499186        NA      FALSE     TRUE    0.12 0.9981437       7           NA
-#> 5:     1         5         4        21.871937 1.0000000 0.5857961       TRUE     TRUE    0.08 0.9945933       1           NA
-#> 6:     2         6         4         0.000000 0.9439879 0.6668303       TRUE     TRUE    0.12 0.9990567       7           NA
+#> 1:     0         1         2         1.670129 0.7880670        NA      FALSE     TRUE    0.06 0.9777163       2           NA
+#> 2:     0         2         2        14.913213 0.8763154        NA      FALSE     TRUE    0.16 0.9763760      15           NA
+#> 3:     0         3         4        18.833690 0.3403900        NA      FALSE     TRUE    0.22 0.9931657      18           NA
+#> 4:     0         4         4         8.639925 0.5499186        NA      FALSE     TRUE    0.14 0.9981437       7           NA
+#> 5:     1         5         4        21.871937 1.0000000 0.5857961       TRUE     TRUE    0.06 0.9945933       1           NA
+#> 6:     2         6         4         0.000000 0.9439879 0.6668303       TRUE     TRUE    0.13 0.9990567       7           NA
 #> 7:     3         7         5         1.395119 0.7071802 0.2973497       TRUE     TRUE    0.11 0.9984577       4           NA
-#> 8:     4         8         5         0.000000 0.2500000 0.3221660       TRUE     TRUE    0.16 0.9994020      10           NA
+#> 8:     4         8         5         0.000000 0.2500000 0.3221660       TRUE     TRUE    0.17 0.9994020      10           NA
 ```
 
 ``` r
@@ -381,10 +381,10 @@ optimization steps, versus the 4 performed in the sequential example:
 ``` r
 tWithPar
 #>    user  system elapsed 
-#>    0.96    0.05    7.47
+#>    0.98    0.04    7.55
 tNoPar
 #>    user  system elapsed 
-#>   23.33    0.83   22.74
+#>   23.44    1.25   22.47
 ```
 
 ## Sampling Multiple Promising Points at Once