mk = markov.MarkovModel()
algs['markov'] = mk
sra = sr.SequentialRules(10,
weighting='div',
pruning=20,
last_n_days=None)
algs['sr10-div'] = sra
ara = ar.AssosiationRules()
algs['ar'] = ara
#knn
iknna = iknn.ItemKNN()
algs['iknn'] = iknna
sknna = sknn.ContextKNN(100, 500, similarity="cosine", extend=False)
algs['sknn-100-500-cosine'] = sknna
vsknna = vsknn.VMContextKNN(100,
2000,
similarity="cosine",
last_n_days=None,
extend=False)
algs['vsknn-200-2000-cosine'] = vsknna
ssknna = ssknn.SeqContextKNN(100,
500,
similarity="cosine",
algs = {}
#baselines
mk = markov.MarkovModel()
algs['markov'] = mk
sra = sr.SequentialRules(10, weighting='div', pruning=20, last_n_days=None)
algs['sr10-div'] = sra
ara = ar.AssosiationRules()
algs['ar'] = ara
#knn
iknn = iknn.ItemKNN()
algs['iknn'] = iknn
sknn = sknn.ContextKNN(100, 500, similarity="cosine", extend=False)
algs['sknn-100-500-cosine'] = sknn
vmsknn = vsknn.VMContextKNN(100,
2000,
similarity="cosine",
last_n_days=None,
extend=False)
algs['vsknn-200-2000-cosine'] = vmsknn
ssknn = ssknn.SeqContextKNN(100, 500, similarity="cosine", extend=False)
algs['ssknn-100-500-cosine-div'] = ssknn