Estimators form the core of Rubix ML because they are responsible for ouputting predictions from the model (referred to as inference). An estimator can be a Classifier, Regressor, Clusterer, or Anomaly Detector and the interpretation of their output depends on the estimator type.

Make Predictions#

Make predictions on a dataset:

public predict(Dataset $dataset) : array


$predictions = $estimator->predict($dataset);

array(3) {
  string(7) "married"
  string(8) "divorced"
  string(7) "married"

Note: The return value of predict() is an array containing the predictions in the order that they were indexed in the dataset.

Estimator Type#

Return the integer encoded estimator type:

public type() : int


use Rubix\ML\Estimator;

$type = $estimator->type();

var_dump($type); // Output integer encoded type

var_dump(Estimator::TYPES[$type]); // Output human readable type

string(10) "classifier"

Data Type Compatibility#

Return the data types that this estimator is compatible with:

public compatibility() : array


$compatibility = $estimator->compatiility();