def activate_model(self,database, mln):
"""
Returns the learned mln
--Inputs--
database and mln objects in MLN format
"""
DEFAULT_CONFIG = os.path.join(locs.user_data, global_config_filename)
conf = PRACMLNConfig(DEFAULT_CONFIG)
config = {}
config['verbose'] = True
config['discr_preds'] = 0
config['db'] = database
config['mln'] = mln
config['ignore_zero_weight_formulas'] = 1 #0
config['ignore_unknown_preds'] = True #0
config['incremental'] = 1 #0
config['grammar'] = 'PRACGrammar' #StandardGrammar
config['logic'] = 'FirstOrderLogic'
config['method'] = 'BPLL' # BPLL (BPLL, 'pseudo-log-likelihood')
config['optimizer'] = 'bfgs'
config['multicore'] = False
config['profile'] = 0
config['shuffle'] = 0
config['prior_mean'] = 0
config['prior_stdev'] = 10 # 5
config['save'] = True
config['use_initial_weights'] = 0
config['use_prior'] = 0
config['infoInterval'] = 500
config['resultsInterval'] = 1000
conf.update(config)
print('training...')
learn = MLNLearn(conf, mln=mln, db=database)
result = learn.run()
print('finished...')
return result
def activate_model(self, database, mln):
DEFAULT_CONFIG = os.path.join(locs.user_data, global_config_filename)
conf = PRACMLNConfig(DEFAULT_CONFIG)
config = {}
config['verbose'] = True
config['discr_preds'] = 0
config['db'] = database
config['mln'] = mln
config['ignore_zero_weight_formulas'] = 1 # 0
config['ignore_unknown_preds'] = True # 0
config['incremental'] = 1 # 0
config['grammar'] = 'StandardGrammar'
config['logic'] = 'FirstOrderLogic'
config['method'] = 'BPLL' # BPLL
config['multicore'] = False
config['profile'] = 0
config['shuffle'] = 0
config['prior_mean'] = 0
config['prior_stdev'] = 10 # 5
config['save'] = True
config['use_initial_weights'] = 0
config['use_prior'] = 0
# config['output_filename'] = 'learnt.dbpll_cg.student-new-train-student-new-2.mln'
# 亲测无效, 此句没法储存.mln 档案
config['infoInterval'] = 500
config['resultsInterval'] = 1000
conf.update(config)
print('training...')
learn = MLNLearn(conf, mln=mln, db=database)
# learn.output_filename(r'C:\Users\anaconda3 4.2.0\test.mln')
# 亲测无效, 此句没法储存.mln 档案
result = learn.run()
print('finished...')
return result