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