fixed random hash changes

folktexts/acs/acs_tasks.py

@@ -118,13 +118,13 @@ def __hash__(self) -> int:
         "from an insurance company (as opposed to being insured through an "
         "employer, Medicare, Medicaid, or any other source)"
     ),
-    features=list({
+    features=sorted(list({
         *acs_income_task.features,
         *acs_public_coverage_task.features,
         *acs_mobility_task.features,
         *acs_employment_task.features,
         *acs_travel_time_task.features,
-    }),
+    })),
     target="HINS2",
     cols_to_text=_acs_columns_map,
     target_threshold=acs_health_insurance_threshold,

folktexts/classifier.py

@@ -130,11 +130,11 @@ def __hash__(self) -> int:
 
         return int(hash_dict(hash_params), 16)
 
-    def fit(self, X, y, *, false_pos_cost=1.0, false_neg_cost=1.0):
+    def fit(self, X, y, *, false_pos_cost=1.0, false_neg_cost=1.0, **kwargs):
         """Uses the provided data sample to fit the prediction threshold."""
 
         # Compute risk estimates for the data
-        y_pred_scores = self.predict_proba(X)
+        y_pred_scores = self.predict_proba(X, **kwargs)
         if len(y_pred_scores.shape) > 1:
             y_pred_scores = y_pred_scores[:, -1]
 

folktexts/threshold.py

@@ -9,7 +9,7 @@
 import pandas as pd
 
 
-@dataclasses.dataclass(frozen=True)
+@dataclasses.dataclass(frozen=True, eq=True)
 class Threshold:
     """A class to represent a threshold value and its comparison operator.