resample_stratified_simple_train_test_split: Sample in equal proportion.

In easyml: Easily Build and Evaluate Machine Learning Models

Description

This will sample in equal proportion.

Usage

resample_stratified_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	A vector with length equal to length(y) which identifies cases belonging to the same fold.
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_simple_train_test_split, resample_stratified_class_train_test_split

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