def add_to_db(self):
from secuml.exp.diadem import add_diadem_exp_to_db
Experiment.add_to_db(self)
add_diadem_exp_to_db(self.session, self.exp_conf.exp_id,
self.exp_conf.dataset_conf.dataset_id,
self.exp_conf.fold_id, 'train',
classifier_conf=self.exp_conf.core_conf)
def add_to_db(self):
Experiment.add_to_db(self)
al_exp = ActiveLearningExpAlchemy(id=self.exp_id,
current_iter=0,
finished=False)
self.session.add(al_exp)
self.session.flush()
def add_to_db(self):
Experiment.add_to_db(self)
from secuml.exp.diadem import add_diadem_exp_to_db
add_diadem_exp_to_db(self.session,
self.exp_conf.exp_id,
self.exp_conf.fold_id,
self.kind,
alerts_conf=self.alerts_conf,
classifier_conf=self.exp_conf.core_conf)
def add_to_db(self):
Experiment.add_to_db(self)
features_set_id = self.exp_conf.features_conf.set_id
annotations_file = self.exp_conf.annotations_conf.annotations_filename
stats_exp = FeaturesAnalysisExpAlchemy(
id=self.exp_id,
features_set_id=features_set_id,
annotations_filename=annotations_file)
self.session.add(stats_exp)
self.session.flush()
def add_to_db(self):
Experiment.add_to_db(self)
has_ground_truth = self.exp_conf.dataset_conf.has_ground_truth
dataset_id = self.exp_conf.dataset_conf.dataset_id
self.session.add(
DiademExpAlchemy(exp_id=self.exp_conf.exp_id,
dataset_id=dataset_id,
fold_id=self.exp_conf.fold_id,
type=self.kind,
perf_monitoring=has_ground_truth))
self.session.flush()
def add_to_db(self):
Experiment.add_to_db(self)
self.session.add(DiademExpAlchemy(exp_id=self.exp_conf.exp_id,
fold_id=self.exp_conf.fold_id,
type=self.kind))
self.session.flush()