Marginalizes prediction functions using Monte-Carlo integration and computes permutation importance.

Monte-Carlo Methods for Prediction Functions

package-ubuntu-20.04-r-4.0.5#cran#mmpf-0.0.5

<p>takes the cartesian product of two data.frames
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
<p>a <code>data.frame</code></p>
</td>
</tr>
<tr valign="top">
<td><code>y</code></td>
<td>
<p>a <code>data.frame</code></p>
</td>
</tr>
</table>

x = data.frame("a" = 1:5, "b" = 6:10)
y = data.frame("z" = letters[1:5], "y" = letters[6:10])
cartesianExpand(x, y)

package-ubuntu-20.04-r-4.0.5#cran#mmpf-0.0.5#docs#cartesianExpand

`x`	a `data.frame`
`y`	a `data.frame`

cartesianExpand

Description

Usage

Arguments

Value

Examples

mmpf

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