def learning(self):
mln = MLN(mlnfile=self.mln_path, grammar='StandardGrammar')
db = Database(mln, dbfile=self.db_path)
for method in ('BPLL', 'BPLL_CG', 'CLL'):
print('=== LEARNING TEST:', method, '===')
learn(method=method, mln=mln, db=db, verbose=True,
multicore=False).run()
def test_learning_taxonomies():
p = '$PRACMLN_HOME/examples/taxonomies/taxonomies.pracmln'
mln = MLN(mlnfile=('%s:senses_and_roles.mln' % p), grammar='PRACGrammar')
mln.write()
dbs = Database.load(mln, dbfiles='%s:training.db' % p)
for method in ('DPLL', 'DBPLL_CG', 'DCLL'):
for multicore in (True, False):
print '=== LEARNING TEST:', method, '==='
learn(method=method, mln=mln, db=dbs, verbose=True, multicore=multicore, epreds='is_a', discr_preds=EVIDENCE_PREDS).run()
def test_learning_smokers():
p = '$PRACMLN_HOME/examples/smokers/smokers.pracmln'
mln = MLN(mlnfile=('%s:smoking.mln' % p), grammar='StandardGrammar')
mln.write()
db = Database(mln, dbfile='%s:smoking-train.db' % p)
for method in ('BPLL', 'BPLL_CG', 'CLL'):
for multicore in (True, False):
print '=== LEARNING TEST:', method, '==='
learn(method=method, mln=mln, db=db, verbose=True, multicore=multicore).run()
def test_learning_smokers():
p = os.path.join(locs.examples, 'smokers', 'smokers.pracmln')
mln = MLN(mlnfile=('%s:smoking.mln' % p), grammar='StandardGrammar')
mln.write()
db = Database(mln, dbfile='%s:smoking-train.db' % p)
for method in ('BPLL', 'BPLL_CG', 'CLL'):
for multicore in (True, False):
print('=== LEARNING TEST:', method, '===')
learn(method=method,
mln=mln,
db=db,
verbose=True,
multicore=multicore).run()
def test_learning_taxonomies():
p = os.path.join(locs.examples, 'taxonomies', 'taxonomies.pracmln')
mln = MLN(mlnfile=('%s:senses_and_roles.mln' % p), grammar='PRACGrammar')
mln.write()
dbs = Database.load(mln, dbfiles='%s:training.db' % p)
for method in ('DPLL', 'DBPLL_CG', 'DCLL'):
for multicore in (True, False):
print('=== LEARNING TEST:', method, '===')
learn(method=method,
mln=mln,
db=dbs,
verbose=True,
multicore=multicore,
epreds='is_a',
discr_preds=EVIDENCE_PREDS).run()
def test_learning_smokers(arg='.', disp=False):
pth = os.path.join(arg, 'smoking.mln')
mln = MLN(mlnfile=pth, grammar='StandardGrammar')
pth = os.path.join(arg, 'smoking-train.db')
db = Database(mln, dbfile=pth)
for method in ('BPLL', 'BPLL_CG', 'CLL'):
for multicore in (True, False):
print('=== LEARNING TEST:', method, '===')
if disp:
query(queries='Cancer,Smokes,Friends',
method=method,
mln=mln,
db=db,
verbose=disp,
multicore=multicore).run().write()
else:
learn(method=method,
mln=mln,
db=db,
verbose=disp,
multicore=multicore).run()
