Commit Graph

5 Commits

Author SHA1 Message Date
Yuji Uchiyama
9c195559df Update apriori documentation (#245)
* Fix a wrong word

* More precise description about support and confidence
2018-02-27 18:50:07 +01:00
Yuji Uchiyama
ed775fb232 Fix documentation of apriori (#221)
* Fix the return value of the single sample prediction

* Fix typo
2018-02-05 18:50:45 +01:00
David Monllaó
c1b1a5d6ac Support for multiple training datasets (#38)
* Multiple training data sets allowed

* Tests with multiple training data sets

* Updating docs according to #38

Documenting all models which predictions will be based on all
training data provided.

Some models already supported multiple training data sets.
2017-02-01 19:06:38 +01:00
Patrick Florek
90038befa9 Apply comments / coding styles
* Remove user-specific gitignore
* Add return type hints
* Avoid global namespace in docs
* Rename rules -> getRules
* Split up rule generation

Todo:
* Move set theory out to math
* Extract rule generation
2016-09-02 00:26:01 +02:00
Patrick Florek
c8bd8db601 # Association rule learning - Apriori algorithm
* Generating frequent k-length item sets
* Generating rules based on frequent item sets
* Algorithm has exponential complexity, be aware of it
* Apriori algorithm is split into apriori and candidates method
* Second step rule generation is implemented by rules method
* Internal methods are invoked for fine grain unit tests
* Wikipedia's train samples and an alternative are provided for test cases
* Small documentation for public interface is also shipped
2016-08-23 15:44:53 +02:00