def dataset(dataset, model_type): ''' This method saves each dataset element (independent variable value) into the sql database. ''' # variables list_error = [] # save dataset for data in dataset: for select_data in data['premodel_dataset']: db_save = Save_Feature({ 'premodel_dataset': select_data, 'id_entity': data['id_entity'], }) # save dataset element, append error(s) db_return = db_save.save_feature(model_type) if db_return['error']: list_error.append(db_return['error']) # return return {'error': list_error}
def save_svm_dataset(self): for data in self.dataset: for dataset in data['svm_dataset']: db_save = Save_Feature({'svm_dataset': dataset, 'id_entity': data['id_entity']}) # save dataset element, append error(s) db_return = db_save.save_feature() if db_return['error']: self.list_error.append(db_return['error'])
def save_premodel_dataset(self): '''@save_premodel_dataset This method saves each dataset element (independent variable value) into the sql database. ''' for data in self.dataset: for dataset in data['premodel_dataset']: db_save = Save_Feature({ 'premodel_dataset': dataset, 'id_entity': data['id_entity'] }) # save dataset element, append error(s) db_return = db_save.save_feature() if db_return['error']: self.list_error.append(db_return['error'])
def save_svm_dataset(self): """@save_svm_dataset This method saves each dataset element (independent variable value) into the sql database. """ for data in self.dataset: for dataset in data['svm_dataset']: db_save = Save_Feature({ 'svm_dataset': dataset, 'id_entity': data['id_entity'] }) # save dataset element, append error(s) db_return = db_save.save_feature() if db_return['error']: self.list_error.append(db_return['error'])