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      +{ feature => [...], label => -1, },
      ...
    ],
    weak_classifier_generator => \&my_poor_learning_algorithm,
  );
  $learner->train(num_iterations => 1_000);

  # Now you have a boost-ed classifier (Algorithm::AdaBoost::Classifier).
  my $classifier = $learner->final_classifier;
  given ($classifier->classify([...])) {
    when ($_ > 0) { say 'The data belongs to class 1.' }
    when ($_ < 0) { say 'The data belongs to class 2.' }
    default { warn 'The data cannot be classified.' }
  }

=head1 DESCRIPTION

AdaBoost is a machine learning algorithm proposed by Freund and Schapire.
Using an arbitrary binary classification algorithm, The algorithm can construct a more accurate classifier (i.e. it is a meta-algorithm).

=head1 METHODS