def __init__(self, multiclass, hyperparam_conf, logger):
Conf.__init__(self, logger)
self.multiclass = multiclass
self.model_class = None
self.hyperparam_conf = hyperparam_conf
self.accept_sparse = False
self._set_characteristics()
def __init__(self, auto, budget, main_model_conf, validation_conf, logger):
Conf.__init__(self, logger)
self.auto = auto
self.budget = budget
self.main_model_conf = main_model_conf
self.validation_conf = validation_conf
self._set_strategy()
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,
classifier_conf,
test_conf,
logger,
validation_conf=None):
Conf.__init__(self, logger)
self.classifier_conf = classifier_conf
self.test_conf = test_conf
self.validation_conf = validation_conf
def __init__(self, secuml_conf, dataset_conf, features_conf,
annotations_conf, core_conf, 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.name = name
self.exp_id = None
self.parent = parent
self._set_exp_name()
def __init__(self,
input_features,
logger,
filter_in_f=None,
filter_out_f=None):
Conf.__init__(self, logger)
self.input_features = input_features
self.filter_in_f = filter_in_f
self.filter_out_f = filter_out_f
self.input_type = None
self.set_id = None
self.files = None
self.info = None
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.features_set_id = None
self.features_files_ids = []
self.filter_in = None
self.filter_out = None
def __init__(self,
input_features,
sparse,
logger,
filter_in_f=None,
filter_out_f=None,
streaming=False,
stream_batch=None):
Conf.__init__(self, logger)
self.input_features = input_features
self.sparse = sparse
self.filter_in_f = filter_in_f
self.filter_out_f = filter_out_f
self.streaming = streaming
self.stream_batch = stream_batch
self.input_type = None
self.set_id = None
self.files = None
self.info = None
def __init__(self, logger, alerts_conf):
Conf.__init__(self, logger)
self.method = None
self.alerts_conf = alerts_conf
def __init__(self, logger, num_components):
Conf.__init__(self, logger)
self.num_components = num_components
self._set_algo()
def __init__(self, num_folds, n_jobs, obj_func, logger):
Conf.__init__(self, logger)
self.num_folds = num_folds
self.n_jobs = n_jobs
self.objective_func = obj_func
def __init__(self, detection_threshold, classifier_conf, clustering_conf,
logger):
Conf.__init__(self, logger)
self.detection_threshold = detection_threshold
self.classifier_conf = classifier_conf
self.clustering_conf = clustering_conf
def __init__(self, logger):
Conf.__init__(self, logger)
self.method = None
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, values, sklearn_name, logger):
Conf.__init__(self, logger)
self.values = values
self.sklearn_name = sklearn_name
self.best_value = None
def __init__(self, logger):
Conf.__init__(self, logger)
self._hyper_values = set([])
def __init__(self, values, optim_conf, logger):
Conf.__init__(self, logger)
self.values = values
self.optim_conf = optim_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