createGrid
From caret v5.17-7
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, pp = NULL)Arguments
- method
- a string specifying which classification model to use. See
trainfor 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
methodiscforest,earth,bagEarth,fda,bagFDA,rpart,svmRadial,pam,lars2 - pp
- an optional vector of pre-processing options.
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)Community examples
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