Increase sklearn model max_iter to 10000 to allow convergence in new versions of scikit-learn

Author: smlindauer

tests/integration/test_pymas.py

@@ -58,7 +58,11 @@ def sklearn_model(train_data):
     X, y = train_data
     with warnings.catch_warnings():
         warnings.simplefilter("ignore")
-        model = LogisticRegression(multi_class="multinomial", solver="lbfgs")
+        model = LogisticRegression(
+            multi_class="multinomial",
+            solver="lbfgs",
+            max_iter=10000
+        )
         model.fit(X, y)
     return model
 

tests/integration/test_tasks.py

@@ -39,7 +39,11 @@ def sklearn_logistic_model():
 
     with warnings.catch_warnings():
         warnings.simplefilter("ignore")
-        model = LogisticRegression(multi_class="multinomial", solver="lbfgs")
+        model = LogisticRegression(
+            multi_class="multinomial",
+            solver="lbfgs",
+            max_iter=10000
+        )
         model.fit(iris.iloc[:, 0:4], iris["Species"])
 
     return model, iris.iloc[:, 0:4]