pass reguess level explicitly

Author: aavtomonov

dataikuapi/dss/ml.py

@@ -1686,18 +1686,18 @@ def redeploy_to_flow(self, model_id, recipe_name=None, saved_model_id=None, acti
             "POST", "/projects/%s/models/lab/%s/%s/models/%s/actions/redeployToFlow" % (self.project_key, self.analysis_id, self.mltask_id, model_id),
             body = obj)
 
-    def guess(self, prediction_type=None, target_only=None):
+    def guess(self, prediction_type=None, reguess_level=None):
         """
         Guess the feature handling and the algorithms.
         :param string prediction_type: In case of a prediction problem the prediction type can be specify. Valid values are BINARY_CLASSIFICATION, REGRESSION, MULTICLASS.
-        :param bool target_only: if True then skip ML task settings automatic detection, only the target values are remapped. Only valid for prediction ML Tasks.
+        :param bool reguess_level: One of the following values: TARGET_CHANGE, TARGET_REGUESS and FULL_REGUESS. Only valid for prediction ML Tasks.
         """
         obj = {}
         if prediction_type is not None:
             obj["predictionType"] = prediction_type
 
-        if target_only is not None:
-            obj["targetOnly"] = target_only
+        if reguess_level is not None:
+            obj["reguessLevel"] = reguess_level
 
         self.client._perform_empty(
             "PUT",