From eda81fd5e0a601a082f480f92cc297690511c48c Mon Sep 17 00:00:00 2001 From: Vitalie Spinu Date: Sat, 26 Nov 2016 17:28:33 +0100 Subject: [PATCH] Fix some links to online documentation --- bookdown/19-GA.Rmd | 4 ++-- bookdown/20-SA.Rmd | 4 ++-- html/GA.Rhtml | 4 ++-- html/SA.Rhtml | 4 ++-- pkg/caret/R/gafs.R | 4 ++-- pkg/caret/R/misc.R | 2 +- pkg/caret/R/preProcess.R | 2 +- pkg/caret/R/rfe.R | 12 +++++------ pkg/caret/R/safs.R | 20 +++++++++---------- pkg/caret/R/selection.R | 2 +- pkg/caret/man/gafs_initial.Rd | 4 ++-- pkg/caret/man/oneSE.Rd | 2 +- pkg/caret/man/preProcess.Rd | 2 +- pkg/caret/man/rfe.Rd | 8 ++++---- pkg/caret/man/rfeControl.Rd | 4 ++-- pkg/caret/man/safs.Rd | 4 ++-- pkg/caret/man/safsControl.Rd | 12 +++++------ pkg/caret/man/safs_initial.Rd | 4 ++-- .../Open_Data_Science_Conference/caret.Rnw | 2 +- .../Open_Data_Science_Conference/caret.tex | 2 +- release_process/talk/caret.Rnw | 2 +- 21 files changed, 52 insertions(+), 52 deletions(-) diff --git a/bookdown/19-GA.Rmd b/bookdown/19-GA.Rmd index 795308e44..7b57e640c 100644 --- a/bookdown/19-GA.Rmd +++ b/bookdown/19-GA.Rmd @@ -82,8 +82,8 @@ Other options, such as `preProcess`, can be passed in as well. Some important options to `gafsControl` are: - - `method`, `number`, `repeats`, `index`, `indexOut`, etc: options similar to those for [`train`](http://topepo.github.io/caret/training.html#control) top control resampling. - - `metric`: this is similar to [`train`](http://topepo.github.io/caret/training.html#control)'s option but, in this case, the value should be a named vector with values for the internal and external metrics. If none are specified, the first value returned by the summary functions (see details below) are used and a warning is issued. A similar two-element vector for the option `maximize` is also required. See the [last example here](#example2) for an illustration. + - `method`, `number`, `repeats`, `index`, `indexOut`, etc: options similar to those for [`train`](http://topepo.github.io/caret/model-training-and-tuning.html#control) top control resampling. + - `metric`: this is similar to [`train`](http://topepo.github.io/caret/model-training-and-tuning.html#control)'s option but, in this case, the value should be a named vector with values for the internal and external metrics. If none are specified, the first value returned by the summary functions (see details below) are used and a warning is issued. A similar two-element vector for the option `maximize` is also required. See the [last example here](#example2) for an illustration. - `holdout`: this is a number between `[0, 1)` that can be used to hold out samples for computing the internal fitness value. Note that this is independent of the external resampling step. Suppose 10-fold CV is being used. Within a resampling iteration, `holdout` can be used to sample an additional proportion of the 90% resampled data to use for estimating fitness. This may not be a good idea unless you have a very large training set and want to avoid an internal resampling procedure to estimate fitness. - `allowParallel` and `genParallel`: these are logicals to control where parallel processing should be used (if at all). The former will parallelize the external resampling while the latter parallelizes the fitness calculations within a generation. `allowParallel` will almost always be more advantageous. diff --git a/bookdown/20-SA.Rmd b/bookdown/20-SA.Rmd index 4d52b8899..6e3184a85 100644 --- a/bookdown/20-SA.Rmd +++ b/bookdown/20-SA.Rmd @@ -75,8 +75,8 @@ Other options, such as `preProcess`, can be passed in as well. Some important options to `safsControl` are: - - `method`, `number`, `repeats`, `index`, `indexOut`, etc: options similar to those for [`train`](http://topepo.github.io/caret/training.html#control) top control resampling. - - `metric`: this is similar to [`train`](http://topepo.github.io/caret/training.html#control)'s option but, in this case, the value should be a named vector with values for the internal and external metrics. If none are specified, the first value returned by the summary functions (see details below) are used and a warning is issued. A similar two-element vector for the option `maximize` is also required. See the [last example here](#example2) for an illustration. + - `method`, `number`, `repeats`, `index`, `indexOut`, etc: options similar to those for [`train`](http://topepo.github.io/caret/model-training-and-tuning.html#control) top control resampling. + - `metric`: this is similar to [`train`](http://topepo.github.io/caret/model-training-and-tuning.html#control)'s option but, in this case, the value should be a named vector with values for the internal and external metrics. If none are specified, the first value returned by the summary functions (see details below) are used and a warning is issued. A similar two-element vector for the option `maximize` is also required. See the [last example here](#example2) for an illustration. - `holdout`: this is a number between `[0, 1)` that can be used to hold out samples for computing the internal fitness value. Note that this is independent of the external resampling step. Suppose 10-fold CV is being used. Within a resampling iteration, `holdout` can be used to sample an additional proportion of the 90% resampled data to use for estimating fitness. This may not be a good idea unless you have a very large training set and want to avoid an internal resampling procedure to estimate fitness. - `improve`: an integer (or infinity) defining how many iterations should pass without an improvement in fitness before the current subset is reset to the last known improvement. - `allowParallel`: should the external resampling loop be run in parallel?. diff --git a/html/GA.Rhtml b/html/GA.Rhtml index 83df94245..c5a5f6004 100644 --- a/html/GA.Rhtml +++ b/html/GA.Rhtml @@ -171,10 +171,10 @@ Some important options to gafsControl are: