def __init__(self, classification_conf, cluster_strategy, num_annotations,
cluster_weights, logger):
Conf.__init__(self, logger)
self.classification_conf = classification_conf
self.cluster_strategy = cluster_strategy
self.num_annotations = num_annotations
self.cluster_weights = cluster_weights
def __init__(self, annotations_filename, annotations_id, logger):
Conf.__init__(self, logger)
self.annotations_filename = annotations_filename
self.annotations_id = None
self.annotations_type = None
if annotations_id is not None:
self.set_annotations_id(annotations_id)
else:
self.set_annotations_filename(annotations_filename)
def __init__(self, sample_weight, families_supervision,
hyperparams_optim_conf, logger):
Conf.__init__(self, logger)
self.sample_weight = sample_weight
self.families_supervision = families_supervision
self.model_class = None
self.hyperparams_optim_conf = hyperparams_optim_conf
self.probabilist_model = self.probabilistModel()
self.semi_supervised = self.semiSupervisedModel()
self.feature_importance = self.featureImportance()
self.model_class_name = self.__class__.__name__.split('Conf')[0]
def __init__(self,
input_features,
logger,
filter_in_filename=None,
filter_out_filename=None):
Conf.__init__(self, logger)
self.input_features = input_features
self.filter_in_filename = filter_in_filename
self.filter_out_filename = filter_out_filename
self.input_type = None
self.dataset_features_id = None
self.features_files_ids = []
self.filter_in = None
self.filter_out = None
def __init__(self,
secuml_conf,
dataset_conf,
features_conf,
annotations_conf,
core_conf,
experiment_name=None,
parent=None):
Conf.__init__(self, secuml_conf.logger)
self.secuml_conf = secuml_conf
self.dataset_conf = dataset_conf
self.features_conf = features_conf
self.annotations_conf = annotations_conf
self.core_conf = core_conf
self.experiment_name = experiment_name
self.experiment_id = None
self.parent = parent
self._set_exp_name()
def __init__(self, algo, logger):
Conf.__init__(self, logger)
self.algo = algo
def __init__(self, logger, alerts_conf):
Conf.__init__(self, logger)
self.method = None
self.alerts_conf = alerts_conf
def __init__(self, project, dataset, logger):
Conf.__init__(self, logger)
self.project = project
self.dataset = dataset
self.dataset_id = None
self.has_ground_truth = None
def __init__(self, num_folds, n_jobs, objective_func, logger):
Conf.__init__(self, logger)
self.num_folds = num_folds
self.n_jobs = n_jobs
self.objective_func = objective_func
def __init__(self, auto, budget, validation_conf, models_conf, logger):
Conf.__init__(self, logger)
self.auto = auto
self.budget = budget
self.validation_conf = validation_conf
self.models_conf = ModelsConf(models_conf)
def __init__(self, classifier_conf, test_conf, logger):
Conf.__init__(self, logger)
self.classifier_conf = classifier_conf
self.test_conf = test_conf
def __init__(self, logger, num_clusters, projection_conf=None):
Conf.__init__(self, logger)
self.num_clusters = num_clusters
self.projection_conf = projection_conf
self.algo = None
def __init__(self, num_max_alerts, detection_threshold, clustering_conf,
logger):
Conf.__init__(self, logger)
self.num_max_alerts = num_max_alerts
self.detection_threshold = detection_threshold
self.clustering_conf = clustering_conf