def add_fold(self, predictions):
def to_float(x):
if x is None:
return None
return float(x)
PredictionsMonitoringCore.add_fold(self, predictions)
predictions_db = [PredictionsAlchemy(exp_id=self.exp.exp_id,
instance_id=p.instance_id,
value=p.value_to_str(),
proba=to_float(p.proba))
for p in predictions.to_list()]
self.exp.session.bulk_save_objects(predictions_db)
def init(self, features_ids):
self.performance = PerformanceMonitoring(self.num_folds, self.conf)
self.predictions = PredictionsMonitoring(self.conf, True)
self.coefficients = None
if self.interpretation:
self.coefficients = Coefficients(self.num_folds, features_ids,
self.conf, self.exp.session)
def final_computations(self):
def to_float(x):
return None if x is None else float(x)
def to_int(x):
return None if x is None else int(x)
PredictionsMonitoringCore.final_computations(self)
predictions_db = [
PredictionsAlchemy(exp_id=self.exp.exp_id,
instance_id=to_int(p.instance_id),
value=p.value_to_str(),
proba=to_float(p.proba),
score=to_float(p.score),
rank=to_int(p.rank))
for p in self.predictions.to_list()
]
self.exp.session.bulk_save_objects(predictions_db)
def __init__(self, exp, num_folds):
PredictionsMonitoringCore.__init__(self, exp.exp_conf.logger,
num_folds)
self.exp = exp
def __init__(self, exp):
PredictionsMonitoringCore.__init__(self)
self.exp = exp
def __init__(self, exp):
PredictionsMonitoringCore.__init__(self, exp.exp_conf.logger)
self.exp = exp