The idea is to provide a standard interface
to users who use both R and Python for building machine learning models.
This package provides a scikit-learn's fit, predict interface to
train machine learning models in R.

Build Machine Learning Models Like Using Python's Scikit-Learn
Library in R

package-ubuntu-20.04-r-4.0.5#cran#superml-0.5.3

<p>Used to check the input data format
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>X</code></td>
<td>
<p>should be a data frame or data.table</p>
</td>
</tr>
<tr valign="top">
<td><code>y</code></td>
<td>
<p>should be a string specifying the dependent variable</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#superml-0.5.3#docs#testdata

testdata

Description

Usage

Arguments

Value

superml

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`X`	should be a data frame or data.table
`y`	should be a string specifying the dependent variable