resample_simple_train_test_split: Train test split.

In easyml: Easily Build and Evaluate Machine Learning Models

Description

This will split the data into train and test.

Usage

resample_simple_train_test_split(X, y, train_size = 0.667, foldid = NULL,
  random_state = NULL)

Arguments

X	A data.frame, the data to be resampled.
y	A numeric vector with two classes, 0 and 1.
train_size	A numeric vector of length one; specifies what proportion of the data should be used for the training data set. Defaults to 0.667.
foldid	Not currently supported in this function.
random_state	An integer vector of length one; specifies the seed to be used for the analysis. Defaults to NULL.

Value

A boolean vector of length n_obs where TRUE represents that observation should be in the train set.

See Also

Other resample: resample_fold_train_test_split, resample_stratified_class_train_test_split, resample_stratified_simple_train_test_split

easyml documentation built on June 26, 2017, 9:02 a.m.