bss
/
dr.botzo
1
0
Fork 0
Code Issues 1 Pull Requests Releases 2 Wiki Activity

Markov: let backwards chainer go randomly longer 

the code, in a kind of trial state, would very quickly stop trying to
work backwards. (part of this was for performance reasons, i believe.)
since that seems to have proven stable, let's mess with it --- the
backwards chainer can now go backwards a random distance, rather than
just what almost always turned out to be 2
This commit is contained in:
Brian S. Stephan 2013-02-08 00:01:22 -06:00
parent 60ac4d25bd
commit 232eeccbcb
1 changed files with 8 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

10
modules/Markov.py
View File

@ -383,10 +383,16 @@ class Markov(Module):
self.log.debug("working_backwards: {0:s}".format(" ".join(working_backwards)))
# now work backwards until we randomly bump into a start
# to steer the chainer away from spending too much time on
# the weaker-context reverse chaining, we make max_size
# a non-linear distribution, making it more likely that
# some time is spent on better forward chains
max_back = random.randint(1, max_size/2) + random.randint(1, max_size/2)
self.log.debug("max_back: {0:d}".format(max_back))
while True:
key_hits = self._retrieve_k2_for_value(working_backwards[0], context_id)
if self.start2 in key_hits and len(working_backwards) > 2:
self.log.debug("working backwards forced start, finishing")
if self.start2 in key_hits and len(working_backwards) > max_back:
self.log.debug("max_back exceeded, cleanly finishing")
gen_words += working_backwards
self.log.debug("gen_words: {0:s}".format(" ".join(gen_words)))
break