def fromJson(obj, db, cursor):
conf = ProjectionConfFactory.getFactory().fromJson(obj['conf'])
experiment = ProjectionExperiment(obj['project'], obj['dataset'], db,
cursor)
Experiment.expParamFromJson(experiment, obj)
experiment.setConf(conf)
return experiment
def fromJson(obj, db, cursor):
experiment = ClassificationExperiment(obj['project'], obj['dataset'],
db, cursor)
Experiment.expParamFromJson(experiment, obj)
classification_conf = ClassifierConfFactory.getFactory().fromJson(
obj['classification_conf'], experiment)
experiment.setClassifierConf(classification_conf)
return experiment
def fromJson(obj, db, cursor):
experiment = ActiveLearningExperiment(obj['project'], obj['dataset'], db, cursor)
Experiment.expParamFromJson(experiment, obj)
experiment.labeling_method = obj['labeling_method']
# Validation configuration
experiment.validation_conf = None
if obj['validation_conf'] is not None:
experiment.validation_conf = TestConfiguration.fromJson(obj['validation_conf'], experiment)
experiment.conf = ActiveLearningConfFactory.getFactory().fromJson(obj['conf'], experiment)
return experiment
def fromJson(obj, db, cursor):
experiment = ValidationExperiment(obj['project'], obj['dataset'], db,
cursor)
Experiment.expParamFromJson(experiment, obj)
return experiment
def fromJson(obj, db, cursor):
conf = ClusteringConfFactory.getFactory().fromJson(obj['conf'])
experiment = ClusteringExperiment(obj['project'], obj['dataset'], db,
cursor, conf)
Experiment.expParamFromJson(experiment, obj)
return experiment
def fromJson(obj, db, cursor):
experiment = DescriptiveStatisticsExperiment(obj['project'],
obj['dataset'], db,
cursor)
Experiment.expParamFromJson(experiment, obj)
return experiment