class ExperimentConf(Bean):
dataset_name = StringField()
dataset_has_header = BooleanField()
dataset_default_headers = ListObjectField()
train_mode = StringField()
label_col = StringField()
pos_label = ObjectField()
task_type = StringField() # calc in frontend
partition_strategy = StringField()
cross_validation = BeanField(CrossValidation)
train_validation_holdout = BeanField(TrainValidationHoldout)
datetime_series_col = StringField()
# feature_series_name = StringField()
file_path = StringField()
test_file_path = StringField()
class PartitionStrategy:
CrossValidation = 'cross_validation'
TrainValidationHoldout = 'train_validation_holdout'
class FeatureValueCount(Bean):
type = ObjectField()
value = IntegerField()
percentage = FloatField()
class ContinuousFeatureBin(Bean):
begin = ObjectField()
end = ObjectField()
value = IntegerField()
class BinaryLabel(Bean):
true = ObjectField()
false = ObjectField()
class FeatureValueCount(Bean):
type = ObjectField()
value = IntegerField()