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
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Association	# Association rule learning - Apriori algorithm	2016-08-23 15:44:53 +02:00
Classification	support vector classifier implementation	2016-05-07 22:17:12 +02:00
Clustering	test exception on kmeans	2016-07-24 14:01:17 +02:00
CrossValidation	create StratifiedRandomSplit for cross validation	2016-07-10 14:13:35 +02:00
Dataset	docs for files dataset and php-cs-fixer	2016-07-16 23:56:52 +02:00
FeatureExtraction	fix problem with token count vectorizer array order	2016-07-14 13:25:11 +02:00
Math	implement activation function for neural network	2016-08-02 13:07:47 +02:00
Metric	add more tests for CReport	2016-07-19 22:01:39 +02:00
NeuralNetwork	Develop to master (#18)	2016-08-21 14:03:20 +02:00
Preprocessing	add .coverage to git ignore	2016-07-24 13:42:50 +02:00
Regression	add word tokenizer	2016-05-07 23:17:46 +02:00
SupportVectorMachine	add multi class svm test	2016-05-07 14:08:09 +02:00
Tokenization	add word tokenizer	2016-05-07 23:17:52 +02:00
PipelineTest.php	remove unused exception	2016-07-24 13:52:52 +02:00