Hi There :) Can Anybody Tell Me What The Best Practice Is For Performing A Normalization In The Preprocess.Py Script Used By Clearml-Serving? Currently I Use A Sklearn Minmaxscaler Which Is Loaded And Applied Before And After The Data Is Send To The Model

Unanswered

Yes! I checked it should work (it checks if you have load(...) function on the preprocess class and if you do it will use it:
None

def load(local_file)
    self._model = joblib.load(local_file_name)
    self._preprocess_model = joblib.load(Model(hard_coded_model_id).get_weights())

  				
Posted 
	one year ago

					More
				  		
  Report
		
					AgitatedDove14
				
					0
					 × 1

173 Views

0 Answers

one year ago