def __init__(self, predict_input, name=None):
super().__init__(jobs=[predict_input.data, predict_input.experiment],
task=PredictTask(predict_input, name=name),
name=gen_id(self.__class__.__name__, name))
self.accessor = None
self.schema = None
self.originSchema = None
self.annotations = None
self.options = None
self.created_at = None
self.updated_at = None
self.completed_at = None
def __init__(self, setup_input=None, name=None):
"""DataSetup Init.
Args:
setup_input (:obj:`~decanter.core.jobs.data_setup.DataSetup)
name (:obj:`str`, optional): Name to track Job progress
"""
super().__init__(jobs=[setup_input.data],
task=SetupTask(setup_input, name),
name=gen_id(self.__class__.__name__, name))
self.accessor = None
self.schema = None
self.originSchema = None
self.annotations = None
self.options = None
self.created_at = None
self.updated_at = None
self.completed_at = None
def __init__(self, file=None, name=None, eda=True):
"""DataUpload Init.
Args:
file (file-object): DataUpload file to upload.
name (:obj:`str`, optional): Name to track Job progress
"""
super().__init__(jobs=None,
task=UploadTask(file, name, eda),
name=gen_id(self.__class__.__name__, name))
self.accessor = None
self.schema = None
self.originSchema = None
self.annotations = None
self.options = None
self.created_at = None
self.updated_at = None
self.completed_at = None
def __init__(self, train_input, select_model_by=Evaluator.auto, name=None):
super().__init__(jobs=[train_input.data],
task=TrainTask(train_input, name=name),
name=gen_id(self.__class__.__name__, name))
select_model_by = check_is_enum(Evaluator, select_model_by)
self.train_input = train_input
self.best_model = Model()
self.select_model_by = select_model_by
self.features = None
self.train_data_id = None
self.target = None
self.test_base_id = None
self.models = None
self.hyperparameters = None
self.attributes = None
self.recommendations = None
self.options = None
self.created_at = None
self.updated_at = None
self.completed_at = None
def __init__(self, predict_input, name=None):
super().__init__(name=gen_id('PredictTSTask', name))
self.predict_input = predict_input
def __init__(self, train_input, name=None):
super().__init__(name=gen_id('TrainTSTask', name))
self.train_input = train_input
def __init__(self, file, name=None):
super().__init__(name=gen_id('UploadTask', name))
self.file = file
