def __init__(self, corpus, n=15, expressionModel=None):
self.allowed = treeconstraints.train(corpus)
self.expressionModel = expressionModel
if expressionModel == None:
self.expressionModel = expression.train(corpus)
rhythmModel = pcfg.train(corpus)
super(StochasticParser, self).__init__(model=rhythmModel, n=n)
self.setBeam(corpus)
def corpusAndParser(n=15): from jazzr.models import pcfg, treeconstraints from jazzr.corpus import annotations corpus = annotations.corpus() allowed = treeconstraints.train(corpus) allowed.append(['tie', 'tie', 'on']) model = pcfg.train(corpus) #model = None return annotations.loadAnnotations(), SimpleParser(n=n, model=model, corpus=True, allowed=allowed, tolerance=0.001, maxdepth=5)
def __init__(self, collection='explicitswing', n=15, beam=0.8, std=0.1, expected_logratio=0.0, model=None, allowed=None):
if model == None:
corpus = annotations.corpus(collection=collection)
model = pcfg.train(corpus)
self.allowed = treeconstraints.train(corpus)
else:
self.model = model
self.allowed = allowed
# Standard deviation expressed in proportion of beatlength
self.std = std
self.expected_logratio = expected_logratio
super(StochasticParser, self).__init__(beam=beam, model=model, n=n)
