some advice

EricSchles · Aug 18, 2019 · d7fab35 · d7fab35
1 parent 5b612e4
commit d7fab35
Showing 1 changed file with 2 additions and 4 deletions.
diff --git a/drifter_ml/classification_tests/classification_tests.py b/drifter_ml/classification_tests/classification_tests.py
@@ -332,10 +332,8 @@ class ClassificationTests(FixedClassificationMetrics):
     * cross_val_average : the average of all folds must be above some number
     * cross_val_lower_boundary : each fold must be above the lower boundary
     * lower_boundary_per_class : each class must be above a given lower boundary the lower boundary per class can be different
-    * cross_val_anomaly_detection : the score for each fold must
-    have a deviance from the average below a set tolerance
-    * cross_val_per_class_anomaly_detection : the score for each class 
-    for each fold must have a deviance from the average below a set tolerance
+    * cross_val_anomaly_detection : the score for each fold must have a deviance from the average below a set tolerance
+    * cross_val_per_class_anomaly_detection : the score for each class for each fold must have a deviance from the average below a set tolerance
     
     As you can see, at each level of sophistication we need more data to get
     representative sets.  But if more data is available, then we are able