def preprocess(self, request):
"""
Transform raw input into model input data.
:param request: list of raw requests
:return: list of preprocessed model input data
"""
#model_input = decoder.decode(request[0].get('body').decode(),content_types.CSV)
model_input = request[0].get('body').decode()
print(model_input)
print(type(model_input))
print('preprocess')
model_input = StringIO(model_input)
print(type(model_input))
model_input = pd.read_csv(model_input, header=None, sep=',')
print(model_input)
if len(model_input.columns) == len(self.feature_columns_names):
model_input.columns = self.feature_columns_names
print(model_input)
features = self.preprocessor.transform(model_input)
print('features')
print(features)
if features.ndim == 1:
features = np.expand_dims(features, axis=0)
#print(model_input)
return features
