Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Fix typo in 04-Basic.Rmd #623

Merged
merged 1 commit into from
Apr 19, 2017
Merged

Fix typo in 04-Basic.Rmd #623

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
2 changes: 1 addition & 1 deletion bookdown/04-Basic.Rmd
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -43,7 +43,7 @@ The `train` function can be used to

First, a specific model must be chosen. Currently, `r I(length(unique(modelLookup()$model)))` are available using [`caret`](http://cran.r-project.org/web/packages/caret/index.html); see [`train` Model List](available-models.html) or [`train` Models By Tag](train-models-by-tag.html) for details. On these pages, there are lists of tuning parameters that can potentially be optimized. [User-defined models](using-your-own-model-in-train.html) can also be created.

The first step in tuning the model (line 1 in the algorithm above is to choose a set of parameters to evaluate. For example, if fitting a Partial Least Squares (PLS) model, the number of PLS components to evaluate must be specified.
The first step in tuning the model (line 1 in the algorithm below is to choose a set of parameters to evaluate. For example, if fitting a Partial Least Squares (PLS) model, the number of PLS components to evaluate must be specified.

```{r train_algo, echo = FALSE}
include_graphics('premade/TrainAlgo.png', dpi = NA)
Expand Down