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# Probabilistic
Estimators that implement the Probabilistic interface have the `proba()` method that returns an array of joint probability estimates for every possible class or cluster number. Probabilities are useful for ascertaining the degree to which the estimator is *certain* about a particular outcome. A value of 1 indicates that the estimator is 100% certain about a particular class or cluster number. Conversely, a value of 0 means that the estimator is 100% certain that it's *not* that class or cluster number. When the probabilities are considered together they are called a *joint* distribution and always sum to 1.

## Predict Probabilities
Return the joint probability estimates from a dataset:
```php
public proba(Dataset $dataset) : array
```

```php
$probabilities = $estimator->proba($dataset);

print_r($probabilities);
```

```php
Array
(
    [0] => Array
        (
            [monster] => 0.6
            [not monster] => 0.4
        )
    [1] => Array
        (
            [monster] => 0.5
            [not monster] => 0.5
        )
    [2] => Array
        (
            [monster] => 0.2
            [not monster] => 0.8
        )
)
```

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