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4 | 4 | [](https://travis-ci.org/AnotherSamWilson/ParBayesianOptimization) |
6 | 6 | [](https://CRAN.R-project.org/package=ParBayesianOptimization) |
7 | | -[](https://CRAN.R-project.org/package=ParBayesianOptimization) |
| 7 | +[](https://CRAN.R-project.org/package=ParBayesianOptimization) |
8 | 8 | [](https://CRAN.R-project.org/package=ParBayesianOptimization) |
9 | 9 | [](https://codecov.io/gh/AnotherSamWilson/ParBayesianOptimization/branch/master) |
11 | 11 |
|
| 12 | +### ParBayesianOptimization has been temporarily removed from CRAN because of minor issues. I have re-submitted, it should be back up within the week. |
| 13 | + |
12 | 14 | # Parallelizable Bayesian Optimization |
13 | 15 |
|
14 | 16 | <img src='vignettes/icon.png' align = 'right' height="300" /> |
@@ -229,6 +231,7 @@ folds object to be used in the scoring function. |
229 | 231 |
|
230 | 232 | ``` r |
231 | 233 | library("xgboost") |
| 234 | +#> Warning: package 'xgboost' was built under R version 4.0.3 |
232 | 235 |
|
233 | 236 | data(agaricus.train, package = "xgboost") |
234 | 237 |
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@@ -315,14 +318,14 @@ to see the results: |
315 | 318 | ``` r |
316 | 319 | optObj$scoreSummary |
317 | 320 | #> Epoch Iteration max_depth min_child_weight subsample gpUtility acqOptimum inBounds Elapsed Score nrounds errorMessage |
318 | | -#> 1: 0 1 2 1.670129 0.7880670 NA FALSE TRUE 0.06 0.9777163 2 NA |
319 | | -#> 2: 0 2 2 14.913213 0.8763154 NA FALSE TRUE 0.16 0.9763760 15 NA |
320 | | -#> 3: 0 3 4 18.833690 0.3403900 NA FALSE TRUE 0.22 0.9931657 18 NA |
321 | | -#> 4: 0 4 4 8.639925 0.5499186 NA FALSE TRUE 0.14 0.9981437 7 NA |
322 | | -#> 5: 1 5 4 21.871937 1.0000000 0.5857961 TRUE TRUE 0.06 0.9945933 1 NA |
323 | | -#> 6: 2 6 4 0.000000 0.9439879 0.6668303 TRUE TRUE 0.13 0.9990567 7 NA |
324 | | -#> 7: 3 7 5 1.395119 0.7071802 0.2973497 TRUE TRUE 0.11 0.9984577 4 NA |
325 | | -#> 8: 4 8 5 0.000000 0.2500000 0.3221660 TRUE TRUE 0.17 0.9994020 10 NA |
| 321 | +#> 1: 0 1 2 1.670129 0.7880670 NA FALSE TRUE 0.14 0.9777163 2 NA |
| 322 | +#> 2: 0 2 2 14.913213 0.8763154 NA FALSE TRUE 0.36 0.9763760 15 NA |
| 323 | +#> 3: 0 3 4 18.833690 0.3403900 NA FALSE TRUE 0.44 0.9931657 18 NA |
| 324 | +#> 4: 0 4 4 8.639925 0.5499186 NA FALSE TRUE 0.24 0.9981437 7 NA |
| 325 | +#> 5: 1 5 4 21.871937 1.0000000 0.5857961 TRUE TRUE 0.13 0.9945933 1 NA |
| 326 | +#> 6: 2 6 4 0.000000 0.9439879 0.6668303 TRUE TRUE 0.25 0.9990567 7 NA |
| 327 | +#> 7: 3 7 5 1.395119 0.7071802 0.2973497 TRUE TRUE 0.19 0.9984577 4 NA |
| 328 | +#> 8: 4 8 5 0.000000 0.2500000 0.3221660 TRUE TRUE 0.31 0.9994020 10 NA |
326 | 329 | ``` |
327 | 330 |
|
328 | 331 | ``` r |
@@ -381,10 +384,10 @@ optimization steps, versus the 4 performed in the sequential example: |
381 | 384 | ``` r |
382 | 385 | tWithPar |
383 | 386 | #> user system elapsed |
384 | | -#> 0.98 0.04 7.55 |
| 387 | +#> 1.03 0.07 11.36 |
385 | 388 | tNoPar |
386 | 389 | #> user system elapsed |
387 | | -#> 23.44 1.25 22.47 |
| 390 | +#> 27.30 3.13 24.99 |
388 | 391 | ``` |
389 | 392 |
|
390 | 393 | ## Sampling Multiple Promising Points at Once |
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