def run(self):
make_dirs('output/summary/')
call([
'python3', 'qanta/reporting/performance.py', 'generate',
c.PRED_TARGET.format(self.fold),
c.META_TARGET.format(self.fold),
'output/summary/{0}.json'.format(self.fold)
])
def run(self):
make_dirs('output/models/')
call([
'vw',
'-d', c.VW_INPUT.format('dev'),
'-b', '30',
'--loss_function', 'logistic',
'-f', c.VW_MODEL
])
def run(self):
make_dirs('output/summary/')
call([
'python3',
'qanta/reporting/performance.py',
'generate',
c.PRED_TARGET.format(self.fold),
c.META_TARGET.format(self.fold),
'output/summary/{0}.json'.format(self.fold)
])
def run(self):
make_dirs("output/summary/")
call([
"python3",
"qanta/reporting/performance.py",
"generate",
c.PRED_TARGET.format(self.fold),
c.META_TARGET.format(self.fold),
"output/summary/{0}.json".format(self.fold),
])
def run(self):
make_dirs('output/predictions/')
call([
'vw',
'-t',
'--loss_function', 'logistic',
'-d', c.VW_INPUT.format(self.fold),
'-i', c.VW_MODEL,
'-p', c.VW_PREDICTIONS.format(self.fold)
])
def run(self):
call([
'vw',
'-t',
'--loss_function', 'logistic',
'-d', c.VW_INPUT.format('dev'),
'-i', c.VW_MODEL,
'--audit_regressor', c.VW_AUDIT_REGRESSOR
])
df = parse_audit(c.VW_AUDIT_REGRESSOR)
audit_report(df, c.VW_AUDIT_REGRESSOR_REPORT)
def run(self):
call([
'vw',
'-i',
c.DOMAIN_MODEL_FORMAT.format(self.model_num),
'-t',
'-k',
'--loss_function',
'logistic',
'-d',
c.DOMAIN_TARGET_PREFIX + str(self.data_num),
'-f',
c.DOMAIN_MODEL_FORMAT.format(self.model_num),
'-p',
c.DOMAIN_PREDICTIONS_PREFIX + str(self.data_num),
])
def run(self):
call([
'vw', '-d', c.DOMAIN_TARGET_PREFIX + str(self.group_num), '-k',
'-q', 'tt', '-b', '28', '--loss_function', 'logistic', '-f',
c.DOMAIN_MODEL_FORMAT.format(self.group_num)
])
def run(self):
call(['bash', 'bin/vw_merge.sh', self.fold])