dummy regression

evidentlyai · Jan 23, 2025 · 4697189 · 4697189
1 parent 1cd1630
commit 4697189
Showing 1 changed file with 13 additions and 0 deletions.
diff --git a/src/evidently/future/metrics/regression.py b/src/evidently/future/metrics/regression.py
@@ -19,6 +19,7 @@
 from evidently.future.tests import Reference
 from evidently.future.tests import eq
 from evidently.future.tests import gt
+from evidently.future.tests import lt
 from evidently.metrics import RegressionAbsPercentageErrorPlot
 from evidently.metrics import RegressionDummyMetric
 from evidently.metrics import RegressionErrorDistribution
@@ -140,6 +141,10 @@ class MAE(MeanStdMetric):
     def _default_tests_with_reference(self, context: Context) -> List[BoundTest]:
         return [eq(Reference(relative=0.1)).bind_single(self.get_fingerprint())]
 
+    def _default_tests(self, context: "Context") -> List[BoundTest]:
+        dv: SingleValue = context.calculate_metric(DummyMAE().to_calculation())
+        return [lt(dv.value).bind_single(self.get_fingerprint())]
+
 
 class MAECalculation(LegacyRegressionMeanStdMetric[MAE]):
     def calculate_value(
@@ -164,6 +169,10 @@ class RMSE(SingleValueMetric):
     def _default_tests_with_reference(self, context: Context) -> List[BoundTest]:
         return [eq(Reference(relative=0.1)).bind_single(self.get_fingerprint())]
 
+    def _default_tests(self, context: "Context") -> List[BoundTest]:
+        dv: SingleValue = context.calculate_metric(DummyRMSE().to_calculation())
+        return [lt(dv.value).bind_single(self.get_fingerprint())]
+
 
 class RMSECalculation(LegacyRegressionSingleValueMetric[RMSE]):
     def calculate_value(
@@ -185,6 +194,10 @@ class MAPE(MeanStdMetric):
     def _default_tests_with_reference(self, context: Context) -> List[BoundTest]:
         return [eq(Reference(relative=0.1)).bind_single(self.get_fingerprint())]
 
+    def _default_tests(self, context: "Context") -> List[BoundTest]:
+        dv: SingleValue = context.calculate_metric(DummyMAPE().to_calculation())
+        return [lt(dv.value).bind_single(self.get_fingerprint())]
+
 
 class MAPECalculation(LegacyRegressionMeanStdMetric[MAPE]):
     def calculate_value(