3 Commits

Author	SHA1	Message	Date
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