Agglomerate#
An Agglomerate is a collection of generators with each of them given a user-defined label. Agglomerates are useful for classification, clustering, and anomaly detection problems where the target label is a discrete value.
Data Types: Depends on base generators
Label Type: Categorical
Parameters#
# | Name | Default | Type | Description |
---|---|---|---|---|
1 | generators | array | A collection of generators indexed by their given label. | |
2 | weights | Auto | array | A set of arbitrary weight values corresponding to a generator's proportion of the overall agglomeration. If no weights are given, each generator is assigned equal weight. |
Example#
use Rubix\ML\Datasets\Generators\Agglomerate;
use Rubix\ML\Datasets\Generators\Blob;
use Rubix\ML\Datasets\Generators\HalfMoon;
use Rubix\ML\Datasets\Generators\Circle;
$generator = new Agglomerate([
'foo' => new Blob([5, 2], 1.0),
'bar' => new HalfMoon(-3, 5, 1.5, 90.0, 0.1),
'baz' => new Circle(2, -4, 2.0, 0.05),
], [
3.5, 4.0, 5.0,
]);
Additional Methods#
Return the normalized weight values of each generator in the agglomerate:
public weights() : array
Last update:
2021-01-23