Improve docstring

Co-authored-by: nicolasservel <nico.servel@gmail.com>

Author: Louis P

dataikuapi/apinode_client.py

@@ -26,8 +26,8 @@ def predict_record(self, endpoint_id, features, forced_generation=None, dispatch
         :param forced_generation: See documentation about multi-version prediction
         :param dispatch_key: See documentation about multi-version prediction
         :param context: Optional, Python dictionary of additional context information. The context information is logged, but not directly used.
-        :param with_explanations: Optional, whether individual explanations should be computed for each records. The prediction endpoint must be compatible.
-        :param explanation_method: Optional, method to compute those explanations. If None, will use the value configured in the endpoint.
+        :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).
          If None, will use the value configured in the endpoint.
@@ -62,8 +62,8 @@ def predict_records(self, endpoint_id, records, forced_generation=None, dispatch
         :param records: Python list of records. Each record must be a Python dict. Each record must contain a "features" dict (see predict_record) and optionally a "context" dict.
         :param forced_generation: See documentation about multi-version prediction
         :param dispatch_key: See documentation about multi-version prediction
-        :param with_explanations: Optional, whether individual explanations should be computed for each records. The prediction endpoint must be compatible.
-        :param explanation_method: Optional, method to compute those explanations. If None, will use the value configured in the endpoint.
+        :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).
          If None, will use the value configured in the endpoint.