Random Split

One of the simplest methods from Cross-validation is implemented as RandomSpilt class. Samples are split to two groups: train group and test group. You can adjust number of samples in each group.

Constructor Parameters

  • $dataset - object that implements Dataset interface
  • $testSize - a fraction of test split (float, from 0 to 1, default: 0.3)
  • $seed - seed for random generator (e.g. for tests)
$randomSplit = new RandomSplit($dataset, 0.2);

Samples and labels groups

To get samples or labels from test and train group you can use getters:

$dataset = new RandomSplit($dataset, 0.3, 1234);

// train group

// test group