Module saePisan.controller.Eksploration.EksplorationController
Classes
class CorrelationMatrixController (CorrelationMatrixModel)-
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class CorrelationMatrixController: """_summary_data_controller Controller class for handling correlation matrix. This class is responsible for interfacing with the CorrelationMatrixModel to generate correlation matrix using provided R scripts. Attributes: CorrelationMatrixModel: An instance of the CorrelationMatrixModel class. Methods: __init__(CorrelationMatrixModel): Initializes the CorrelationMatrixController with the given model. run_model(r_script): Executes the correlation matrix generation using the provided R script """ def __init__(self, CorrelationMatrixModel): self.CorrelationMatrixModel = CorrelationMatrixModel def run_model(self, r_script): self.CorrelationMatrixModel.run_model(r_script)_summary_data_controller Controller class for handling correlation matrix. This class is responsible for interfacing with the CorrelationMatrixModel to generate correlation matrix using provided R scripts.
Attributes
CorrelationMatrixModel- An instance of the CorrelationMatrixModel class.
Methods
init(CorrelationMatrixModel): Initializes the CorrelationMatrixController with the given model. run_model(r_script): Executes the correlation matrix generation using the provided R script
Methods
def run_model(self, r_script)-
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def run_model(self, r_script): self.CorrelationMatrixModel.run_model(r_script)
class MulticollinearityController (multicollinearityModel)-
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class MulticollinearityController: """_summary_data_controller Controller class for handling multicollinearity. This class is responsible for interfacing with the MulticollinearityModel to generate multicollinearity using provided R scripts. Attributes: MulticollinearityModel: An instance of the MulticollinearityModel class. Methods: __init__(MulticollinearityModel): Initializes the MulticollinearityController with the given model. run_model(r_script): """ def __init__(self, multicollinearityModel): self.MulticollinearityModel = multicollinearityModel def run_model(self, r_script): self.MulticollinearityModel.run_model(r_script)_summary_data_controller Controller class for handling multicollinearity. This class is responsible for interfacing with the MulticollinearityModel to generate multicollinearity using provided R scripts.
Attributes
MulticollinearityModel- An instance of the MulticollinearityModel class.
Methods
init(MulticollinearityModel): Initializes the MulticollinearityController with the given model. run_model(r_script):
Methods
def run_model(self, r_script)-
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def run_model(self, r_script): self.MulticollinearityModel.run_model(r_script)
class NormalityTestController (NormalityTestModel)-
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class NormalityTestController: """ Controller class for handling normality tests. This class is responsible for interfacing with the NormalityTestModel to run normality tests using provided R scripts. Attributes: NormalityTestModel: An instance of the NormalityTestModel class. Methods: __init__(NormalityTestModel): Initializes the NormalityTestController with the given model. run_model(r_script): Executes the normality test using the provided R script. """ def __init__(self,NormalityTestModel): self.NormalityTestModel = NormalityTestModel def run_model(self, r_script): self.NormalityTestModel.run_model(r_script)Controller class for handling normality tests. This class is responsible for interfacing with the NormalityTestModel to run normality tests using provided R scripts.
Attributes
NormalityTestModel- An instance of the NormalityTestModel class.
Methods
init(NormalityTestModel): Initializes the NormalityTestController with the given model. run_model(r_script): Executes the normality test using the provided R script.
Methods
def run_model(self, r_script)-
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def run_model(self, r_script): self.NormalityTestModel.run_model(r_script)
class SummaryDataController (SummaryData)-
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class SummaryDataController: """_summary_data_controller Controller class for handling summary data. This class is responsible for interfacing with the SummaryDataModel to generate summary data using provided R scripts. Attributes: SummaryData: An instance of the SummaryDataModel class. Methods: __init__(SummaryData): Initializes the SummaryDataController with the given model. run_model(r_script): Executes the summary data generation using the provided R script """ def __init__(self, SummaryData): self.SummaryData = SummaryData def run_model(self, r_script): self.SummaryData.run_model(r_script)_summary_data_controller Controller class for handling summary data. This class is responsible for interfacing with the SummaryDataModel to generate summary data using provided R scripts.
Attributes
SummaryData- An instance of the SummaryDataModel class.
Methods
init(SummaryData): Initializes the SummaryDataController with the given model. run_model(r_script): Executes the summary data generation using the provided R script
Methods
def run_model(self, r_script)-
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def run_model(self, r_script): self.SummaryData.run_model(r_script)
class VariableSelectionController (VariableSelectionModel)-
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class VariableSelectionController: """_summary_data_controller Controller class for handling variable selection. This class is responsible for interfacing with the VariableSelectionModel to generate variable selection using provided R scripts. Attributes: VariableSelectionModel: An instance of the VariableSelectionModel class. Methods: __init__(VariableSelectionModel): Initializes the VariableSelectionController with the given model. run_model(r_script): Executes the variable selection generation using the provided R """ def __init__(self, VariableSelectionModel): self.VariableSelectionModel = VariableSelectionModel def run_model(self, r_script): self.VariableSelectionModel.run_model(r_script)_summary_data_controller Controller class for handling variable selection. This class is responsible for interfacing with the VariableSelectionModel to generate variable selection using provided R scripts.
Attributes
VariableSelectionModel- An instance of the VariableSelectionModel class.
Methods
init(VariableSelectionModel): Initializes the VariableSelectionController with the given model. run_model(r_script): Executes the variable selection generation using the provided R
Methods
def run_model(self, r_script)-
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def run_model(self, r_script): self.VariableSelectionModel.run_model(r_script)