def setUp(self): # Instance of BasePredictor self.predictor = SVMCRBFMILESPredictor( classifier_filename=SVMC_rbf_classifier_filename) # Generate some data from dataclass / pydantic for FastAPI self._generate_data() # Load raw data from file or create raw data (self.dfraw_load, self.bag_load, self.bag_label_load) = LoadMIL.get_single_mil_bag(pipeline='whole') return None
def setUp(self): self.predictor = CompNBPredictor( classifier_filename=CompNB_classifier_filename, pipeline_type='categorical') # Generate some data from dataclass / pydantic for FastAPI self._generate_data() # Load raw data from file or create raw data (self.dfraw_load, self.bag_load, self.bag_label_load) = LoadMIL.get_single_mil_bag( pipeline='categorical') return None
def setUp(self): # Construct raw data input # This is intended to test input gathered from a web form. Not all # Attributes that are present in a SQL database are present # Generate some data from dataclass / pydantic for FastAPI self.input_data, self.input_data_list = generate_input_data() self.input_data_pydantic, self.input_data_list_pydantic = generate_input_data_pydantic( ) # Convert raw data to dataframe self.dfraw_input = pd.DataFrame(data=[self.input_data.__dict__]) self.dfraw_input_pydantic = pd.DataFrame( data=[self.input_data_pydantic.__dict__]) # Load raw data from file or create raw data (self.dfraw_load, self.bag_load, self.bag_label_load) = LoadMIL.get_single_mil_bag(pipeline='whole') return None