adding random state to baseliners

src/triage/component/catwalk/baselines/rankers.py

@@ -9,7 +9,7 @@
 
 
 class PercentileRankOneFeature:
-    def __init__(self, feature, low_value_high_score=None, descend=None):
+    def __init__(self, feature, low_value_high_score=None, descend=None, random_state=42):
         logger.warning("DEPRECATION WARNING: PercentileRankOneFeature is being replaced by "
             "BaselineRankMultiFeature. Note, however, that the scores returned by the new "
             "ranker cannot be interpreted as percentiles."
@@ -31,6 +31,7 @@ def __init__(self, feature, low_value_high_score=None, descend=None):
         if low_value_high_score is None:
             low_value_high_score = False
 
+        self.random_state = random_state
         self.feature = feature  # which feature to rank on
         self.low_value_high_score = (
             low_value_high_score

src/triage/component/catwalk/baselines/thresholders.py

@@ -51,7 +51,8 @@ class may be abstracted into a BaseThreshold class and more complicated
     where rules and operators that combine them can be nested).
     """
 
-    def __init__(self, rules, logical_operator="or"):
+    def __init__(self, rules, logical_operator="or", random_state=42):
+        self.random_state = random_state
         self.rules = rules
         self.logical_operator = logical_operator
         self.feature_importances_ = None