def __init__(self,
num_max_alerts,
detection_threshold,
clustering_conf,
logger=None):
Configuration.__init__(self, logger=logger)
self.num_max_alerts = num_max_alerts
self.detection_threshold = detection_threshold
self.clustering_conf = clustering_conf
def __init__(self,
num_clusters,
num_results=None,
projection_conf=None,
label='all',
logger=None):
Configuration.__init__(self, logger=logger)
self.num_clusters = num_clusters
if num_results is not None:
self.num_results = num_results
else:
self.num_results = 10
self.projection_conf = projection_conf
self.label = label
self.algo = None
def __init__(self,
num_folds,
sample_weight,
families_supervision,
test_conf,
logger=None):
Configuration.__init__(self, logger=logger)
self.num_folds = num_folds
self.sample_weight = sample_weight
self.families_supervision = families_supervision
self.model_class = None
self.test_conf = test_conf
self.probabilist_model = self.probabilistModel()
self.semi_supervised = self.semiSupervisedModel()
self.feature_importance = self.featureImportance()
def fromJson(obj, session):
experiment = ValidationExperiment(obj['project'],
obj['dataset'],
session,
create=False)
Experiment.expParamFromJson(experiment, obj, Configuration())
return experiment
def createValidationExperiment(self):
test_dataset = self.conf.validation_conf.test_dataset
test_exp = ValidationExperiment(self.secuml_conf, session=self.session)
test_exp.initExperiment(self.project, test_dataset)
test_exp.setConf(Configuration(self.conf.logger),
self.features_filename,
annotations_filename='ground_truth.csv')
return test_exp
def createValidationExperiment(self):
test_dataset = self.conf.validation_conf.test_dataset
load_dataset = Dataset(self.project, test_dataset, self.session)
if not load_dataset.isLoaded():
load_dataset.load(self.logger)
# Check if the validation experiments already exists
test_exp = ValidationExperiment(self.project, test_dataset,
self.session)
test_exp.setConf(Configuration(self.conf.logger),
self.features_filename,
annotations_filename='ground_truth.csv')
return test_exp
def __init__(self, alerts_conf=None, logger=None):
Configuration.__init__(self, logger=logger)
self.method = None
self.alerts_conf = alerts_conf
def __init__(self, algo, logger=None):
Configuration.__init__(self, logger=logger)
self.algo = algo
def fromJson(obj, secuml_conf):
experiment = ValidationExperiment(secuml_conf)
experiment.initExperiment(obj['project'], obj['dataset'], create=False)
Experiment.expParamFromJson(experiment, obj, Configuration())
return experiment
def __init__(self, auto, budget, validation_conf, logger=None):
Configuration.__init__(self, logger=logger)
self.auto = auto
self.budget = budget
self.validation_conf = validation_conf