def read_and_pickle_chain(output_dir, name='pickled_melody'):
r"""
Read in a Markov chain specified in textual form and pickle it for quick
re-initialization.
"""
chain = pykov.readtrj(os.path.join(output_dir, TEXT_CHAIN_NAME))
with open(os.path.join(output_dir, name), mode='w') as fh:
pickle.dump(chain, fh)
def createChain(self,inputData, fromFile=False):
if fromFile:
inputData = pykov.readtrj(inputData)
#print t
p, P = pykov.maximum_likelihood_probabilities(inputData, lag_time=1, separator='a')
#print p #vector
#print P # chain
return p, P
def read_and_pickle_chain(output_dir, name='pickled_melody'):
r"""
Read in a Markov chain specified in textual form and pickle it for quick
re-initialization.
"""
chain = pykov.readtrj(os.path.join(output_dir, TEXT_CHAIN_NAME))
with open(os.path.join(output_dir, name), mode='w') as fh:
pickle.dump(chain, fh)
