Merge pull request #78 from dataiku/chore/dss80-rli-increase-mc-steps-max-to-1000

Increase MC steps max from 400 to 1000

Author: nicolasservel

dataikuapi/apinode_client.py

@@ -29,7 +29,7 @@ def predict_record(self, endpoint_id, features, forced_generation=None, dispatch
         :param with_explanations: Optional, whether individual explanations should be computed for each record. The prediction endpoint must be compatible. If None, will use the value configured in the endpoint.
         :param explanation_method: Optional, method to compute explanations. Valid values are 'SHAPLEY' or 'ICE'. If None, will use the value configured in the endpoint.
         :param n_explanations: Optional, number of explanations to output per prediction. If None, will use the value configured in the endpoint.
-        :param n_explanations_mc_steps: Optional, precision parameter for SHAPLEY method, higher means more precise but slower (between 25 and 400).
+        :param n_explanations_mc_steps: Optional, precision parameter for SHAPLEY method, higher means more precise but slower (between 25 and 1000).
          If None, will use the value configured in the endpoint.
 
         :return: a Python dict of the API answer. The answer contains a "result" key (itself a dict)
@@ -65,7 +65,7 @@ def predict_records(self, endpoint_id, records, forced_generation=None, dispatch
         :param with_explanations: Optional, whether individual explanations should be computed for each record. The prediction endpoint must be compatible. If None, will use the value configured in the endpoint.
         :param explanation_method: Optional, method to compute explanations. Valid values are 'SHAPLEY' or 'ICE'. If None, will use the value configured in the endpoint.
         :param n_explanations: Optional, number of explanations to output per prediction. If None, will use the value configured in the endpoint.
-        :param n_explanations_mc_steps: Optional, precision parameter for SHAPLEY method, higher means more precise but slower (between 25 and 400).
+        :param n_explanations_mc_steps: Optional, precision parameter for SHAPLEY method, higher means more precise but slower (between 25 and 1000).
          If None, will use the value configured in the endpoint.
 
         :return: a Python dict of the API answer. The answer contains a "results" key (which is an array of result objects)