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

Training Dataset used for regression examples. In this data set, we have to predict
the sale price of the houses.

An object of class <code>data.table</code> (inherits from <code>data.frame</code>) with 1460 rows and 81 columns.

<a href="https://www.kaggle.com/c/house-prices-advanced-regression-techniques/data">https://www.kaggle.com/c/house-prices-advanced-regression-techniques/data</a>

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

reg_train

Description

Usage

Format

Source

superml

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