Unlabeled#
Unlabeled datasets are used to train unsupervised learners and for feeding unknown samples into an estimator to make predictions. As their name implies, they do not require a corresponding label for each sample.
Parameters#
| # | Name | Default | Type | Description |
|---|---|---|---|---|
| 1 | samples | array | A 2-dimensional array consisting of rows of samples and columns with feature values. | |
| 2 | verify | true | bool | Should we verify the data? |
Example#
use Rubix\ML\Datasets\Unlabeled;
$samples = [
[0.1, 20, 'furry'],
[2.0, -5, 'rough'],
[0.001, -10, 'rough'],
];
$dataset = new Unlabeled($samples);
Additional Methods#
This dataset does not have any additional methods.