# createGrid

From caret v4.69
by Max Kuhn

##### Tuning Parameter Grid

This function creates a data frame that contains a grid of complexity parameters specific methods.

- Keywords
- utilities

##### Usage

`createGrid(method, len = 3, data = NULL)`

##### Arguments

- method
- a string specifying which classification model to use. See
`train`

fgor a full list. - len
- an integer specifying the number of points on the grid for each tuning parameter.
- data
- the training data (only needed in the case where the
`method`

is`cforest`

,`earth`

,`bagEarth`

,`fda`

,`bagFDA`

,`rpart`

,`svmRadial`

,`pam`

,`lars2`

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##### Details

A grid is created with rows corresponding to complexity parameter combinations. If the model does not use tuning parameters (like a linear model), values of `NA`

are returned. Columns are named the same as the parameter name, but preceded by a period.

For some models (see list above), the data should be passed to the function via the `data`

argument. In these cases, the outcome should be included in a column named `.outcome`

.

##### Value

- A data frame where the rows are combinations of tuning parameters and columns correspond to the parameters. The column names should be the parameter names preceded by a dot (e.g.
`.mtry`

)

##### See Also

##### Examples

```
createGrid("rda", 4)
createGrid("lm")
createGrid("nnet")
## data needed for SVM with RBF:
tmp <- iris
names(tmp)[5] <- ".outcome"
head(tmp)
createGrid("svmRadial", data = tmp, len = 4)
```

* Documentation reproduced from package caret, version 4.69,
License: GPL-2
*
### Community examples

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