createGrid

0th

Percentile

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)
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

train

Aliases
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 5.07-001, License: GPL-2

Community examples

Looks like there are no examples yet.