def fromJson(obj):
validation_conf = None
if obj['validation_conf'] is not None:
validation_conf = ValidationDatasetConf.fromJson(
obj['validation_conf'])
conf = GornitzConfiguration(obj['auto'], obj['budget'], obj['batch'],
validation_conf)
return conf
def fromJson(obj):
validation_conf = None
if obj['validation_conf'] is not None:
validation_conf = ValidationDatasetConf.fromJson(
obj['validation_conf'])
binary_model_conf = ClassifierConfFactory.getFactory().fromJson(
obj['models_conf']['binary'])
conf = RandomSamplingConfiguration(obj['auto'], obj['budget'], obj['batch'],
binary_model_conf, validation_conf)
return conf
def fromJson(obj):
validation_conf = None
if obj['validation_conf'] is not None:
validation_conf = ValidationDatasetConf.fromJson(
obj['validation_conf'])
binary_model_conf = ClassifierConfFactory.getFactory().fromJson(
obj['models_conf']['binary'])
conf = AladinConfiguration(obj['auto'], obj['budget'],
obj['num_annotations'], binary_model_conf,
validation_conf)
return conf
def fromJson(obj):
validation_conf = None
if obj['validation_conf'] is not None:
validation_conf = ValidationDatasetConf.fromJson(
obj['validation_conf'])
multiclass_model_conf = ClassifierConfFactory.getFactory().fromJson(
obj['models_conf']['multiclass'])
rare_category_detection_conf = RareCategoryDetectionStrategy.fromJson(
obj['rare_category_detection_conf'])
conf = RareCategoryDetectionConfiguration(
obj['auto'], obj['budget'], rare_category_detection_conf,
multiclass_model_conf, validation_conf)
return conf
def fromJson(obj):
validation_conf = None
if obj['validation_conf'] is not None:
validation_conf = ValidationDatasetConf.fromJson(
obj['validation_conf'])
rare_category_detection_conf = RareCategoryDetectionStrategy.fromJson(
obj['rare_category_detection_conf'])
binary_model_conf = ClassifierConfFactory.getFactory().fromJson(
obj['models_conf']['binary'])
conf = IlabConfiguration(obj['auto'], obj['budget'],
rare_category_detection_conf,
obj['num_uncertain'], obj['eps'],
binary_model_conf,
validation_conf)
return conf