예제 #1
0
    def __init__(self, data_folder='Data', models_folder='Models', working_folder='Working_Folder'):
        """
        Constructor.

        :param data_folder: the folder containing the data
        :param models_folder: the folder containing the models
        :param working_folder: the folder to store the results
        """
        Pipeline.__init__(self, data_folder, models_folder, working_folder)
예제 #2
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    def __init__(
        self,
        data_folder="Data",
        models_folder="Models",
        working_folder="Working_Folder",
        sim_data_folder="param_estim_data",
        sim_plots_folder="param_estim_plots",
    ):
        __doc__ = Pipeline.__init__.__doc__

        Pipeline.__init__(self, data_folder, models_folder, working_folder, sim_data_folder, sim_plots_folder)
        # The folder containing the updated Copasi models
        self.__updated_models_folder = "updated_models"
예제 #3
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	def __init__(self, user_id, path_to_dataset, random_state=42):

		Pipeline.__init__(self, user_id, path_to_dataset, random_state)		

		self.log = Log()
		msg = self.__class__.__name__+'.'+utils.get_function_caller()+' -> enter'
		self.log.print(msg)


		self.user_id = user_id
		msg = 'user_id: ',self.user_id
		self.log.print(msg)

		self.path_to_dataset = path_to_dataset
		msg = 'path_to_dataset: ',self.path_to_dataset
		self.log.print(msg)

		self.random_state = random_state
		msg = 'random_state: ',self.random_state
		self.log.print(msg)		

		self.dataframe = pd.read_csv(self.path_to_dataset)

		self.prediction = None	
예제 #4
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    def __init__(self, data_folder='Data', models_folder='Models', working_folder='Working_Folder',
                 sim_data_folder='double_param_scan_data', sim_plots_folder='double_param_scan_plots'):
        __doc__ = Pipeline.__init__.__doc__

        Pipeline.__init__(self, data_folder, models_folder, working_folder, sim_data_folder, sim_plots_folder)
예제 #5
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    def __init__(self, data_folder='Data', models_folder='Models', working_folder='Working_Folder',
                 sim_data_folder='sensitivity_data', sim_plots_folder='sensitivity_plots'):
        __doc__ = Pipeline.__init__.__doc__

        Pipeline.__init__(self, data_folder, models_folder, working_folder, sim_data_folder, sim_plots_folder)
        self.__sensitivities_dir="sensitivities"
예제 #6
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 def __init__(self):
     Pipeline.__init__(self)
예제 #7
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 def __init__(self, options):
     Pipeline.__init__(self, options)
예제 #8
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    def __init__(self, path_to_dataset, model):

        Pipeline.__init__(self, path_to_dataset, model)

        self.X = self.dataframe
예제 #9
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 def __init__(self):
     Pipeline.__init__(self)
     self.sqlFlag = False
예제 #10
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 def __init__(self, wheel=None, proxy=None, start=True):
     Pipeline.__init__(self, wheel, proxy, start)
예제 #11
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파일: simulate.py 프로젝트: pdp10/sb_pipe
    def __init__(self, data_folder='Data', models_folder='Models', working_folder='Working_Folder',
                 sim_data_folder='simulate_data', sim_plots_folder='simulate_plots'):
        __doc__ = Pipeline.__init__.__doc__

        Pipeline.__init__(self, data_folder, models_folder, working_folder, sim_data_folder, sim_plots_folder)