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Editing: learner.md
# Learner Most estimators have the ability to be trained with data. These estimators are called *Learners* and require training before they are can make predictions. Training is the process of feeding data to the learner so that it can form a generalized representation or *model* of the dataset. ### Train a Learner To train a learner pass a training dataset as argument to the `train()` method: ```php public train(Dataset $training) : void ``` ```php $estimator->train($dataset); ``` !!! note Calling the `train()` method on an already trained learner will erase its previous training. If you would like to train a model incrementally, you can do so with learners implementing the [Online](online.md) interface. ### Is the Learner Trained? Return whether or not the learner has been trained: ```php public trained() : bool ``` ```php var_dump($estimator->trained()); ``` ``` bool(true) ```
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