5 Commits

Author	SHA1	Message	Date
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
Arkadiusz Kondas	2a76cbb402	add .coverage to git ignore	2016-07-24 13:42:50 +02:00
Arkadiusz Kondas	a2e8a89c3e	revert bin dir	2016-05-05 22:15:34 +02:00
Arkadiusz Kondas	96df5f6d7e	add config for humbug - mutation test framework	2016-05-03 12:35:57 +02:00
Arkadiusz Kondas	2d78110b39	create composer file	2016-02-08 21:54:09 +01:00