createGrid
From caret v4.17
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. Possible values are:
lm
,rda
,lda
,gbm
,rf
,nnet
,multinom
,gpls
,lvq
,rpart
- 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
iscforest
,earth
,bagEarth
,fda
,bagFDA
,rpart
,rf
orpls
.
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, 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")
Community examples
Looks like there are no examples yet.