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