Update apriori documentation (#245)

* Fix a wrong word

* More precise description about support and confidence
This commit is contained in:
Yuji Uchiyama 2018-02-28 02:50:07 +09:00 committed by Arkadiusz Kondas
parent d188790276
commit 9c195559df

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@ -4,8 +4,8 @@ Association rule learning based on [Apriori algorithm](https://en.wikipedia.org/
### Constructor Parameters
* $support - [confidence](https://en.wikipedia.org/wiki/Association_rule_learning#Support), minimum relative amount of frequent item set in train sample
* $confidence - [confidence](https://en.wikipedia.org/wiki/Association_rule_learning#Confidence), minimum relative amount of item set in frequent item sets
* $support - minimum threshold of [support](https://en.wikipedia.org/wiki/Association_rule_learning#Support), i.e. the ratio of samples which contain both X and Y for a rule "if X then Y"
* $confidence - minimum threshold of [confidence](https://en.wikipedia.org/wiki/Association_rule_learning#Confidence), i.e. the ratio of samples containing both X and Y to those containing X
```
use Phpml\Association\Apriori;
@ -44,7 +44,7 @@ $associator->predict([['alpha','epsilon'],['beta','theta']]);
### Associating
Get generated association rules simply use `rules` method.
```
$associator->getRules();
// return [['antecedent' => ['alpha', 'theta'], 'consequent' => ['beta'], 'support' => 1.0, 'confidence' => 1.0], ... ]