small fix and readme change

README.md

@@ -106,7 +106,7 @@ Some model types have specific model parameters that can be included.
 
 | Name                              | Type    | Acceptable values                | model           |
 |-----------------------------------|---------|----------------------------------|-----------------|
-| lambda                            | numeric | regularization constant          | all             |
+| lambda_                           | numeric | regularization constant          | all             |
 | turnout_factor_lower              | numeric | drop units with < turnout factor | all             |
 | turnout_factor_upper              | numeric | drop units with < turnout factor | all             |
 | robust                            | boolean | larger prediction intervals      | `nonparametric` |

src/elexmodel/models/BootstrapElectionModel.py

@@ -58,7 +58,7 @@ def __init__(self, model_settings={}):
             "agg_model_hard_threshold", True
         )  # use sigmoid or hard thresold when calculating agg model
         self.district_election = model_settings.get("district_election", False)
-        self.lambda_ = model_settings.get("lambda", None)  # regularization parameter for OLS
+        self.lambda_ = model_settings.get("lambda_", None)  # regularization parameter for OLS
 
         # upper and lower bounds for the quantile regression which define the strata distributions
         # these make sure that we can control the worst cases for the distributions in case we