def train(self):
dvc = DVC(bind=False, organization='NMGRLData')
dvc.db.trait_set(name='pychronmeta1',
username=os.environ.get('ARGONSERVER_DB_USER'),
password=os.environ.get('ARGONSERVER_DB_PWD'),
kind='mysql',
host=os.environ.get('ARGONSERVER_HOST'))
dvc.connect()
isos = []
klasses = []
uuids = UUIDS
with dvc.session_ctx():
for uuid in uuids:
broke = False
dbai = dvc.get_analysis_uuid(uuid)
ai = dvc.make_analyses((dbai, ))[0]
ai.load_raw_data()
for iso in ai.isotopes.values():
klass = self._get_klass(iso)
if klass is not None:
isos.append(iso)
klasses.append(klass)
else:
broke = True
break
if broke:
break
if isos:
clf = IsotopeClassifier()
clf.add_isotopes(isos, klasses)
clf.dump()
def train(self):
dvc = DVC(bind=False,
organization='NMGRLData')
dvc.db.trait_set(name='pychronmeta1',
username=os.environ.get('ARGONSERVER_DB_USER'),
password=os.environ.get('ARGONSERVER_DB_PWD'),
kind='mysql',
host=os.environ.get('ARGONSERVER_HOST'))
dvc.connect()
isos = []
klasses = []
uuids = UUIDS
with dvc.session_ctx():
for uuid in uuids:
broke = False
dbai = dvc.get_analysis_uuid(uuid)
ai = dvc.make_analyses((dbai,))[0]
ai.load_raw_data()
for iso in ai.isotopes.values():
klass = self._get_klass(iso)
if klass is not None:
isos.append(iso)
klasses.append(klass)
else:
broke = True
break
if broke:
break
if isos:
clf = IsotopeClassifier()
clf.add_isotopes(isos, klasses)
clf.dump()
def train(self):
dvc = DVC(bind=False)
ans = dvc.get_analyses_date_range()
isos = []
klasses = []
for dbai in ans:
ai = dvc.make_analyses((dbai,))
for iso in ai.isotopes.values():
klass = self._get_klass(iso)
if klass is not None:
isos.append(iso)
klasses.append(klass)
self.clf.add_isotopes(isos, klasses)
def train(self):
dvc = DVC(bind=False)
ans = dvc.get_analyses_date_range()
isos = []
klasses = []
for dbai in ans:
ai = dvc.make_analyses((dbai, ))
for iso in ai.isotopes.values():
klass = self._get_klass(iso)
if klass is not None:
isos.append(iso)
klasses.append(klass)
self.clf.add_isotopes(isos, klasses)
