Address review comments

gtsam/discrete/tests/testDecisionTree.cpp

@@ -76,7 +76,7 @@ GTSAM_CONCEPT_TESTABLE_INST(CrazyDecisionTree)
 /* ************************************************************************** */
 
 // Create a decision stump one one variable 'a' with values 10 and 20.
-TEST(DecisionTree, constructor) {
+TEST(DecisionTree, Constructor) {
   DecisionTree<char, int> tree('a', 10, 20);
 
   // Evaluate the tree on an assignment to the variable.
@@ -129,7 +129,7 @@ struct Ring {
 
 /* ************************************************************************** */
 // Check that creating decision trees respects key order.
-TEST(DecisionTree, constructor_order) {
+TEST(DecisionTree, ConstructorOrder) {
   // Create labels
   string A("A"), B("B");
 
@@ -159,7 +159,7 @@ TEST(DecisionTree, constructor_order) {
 
 /* ************************************************************************** */
 // test DT
-TEST(DecisionTree, example) {
+TEST(DecisionTree, Example) {
   // Create labels
   string A("A"), B("B"), C("C");
 

gtsam/discrete/tests/testDecisionTreeFactor.cpp

@@ -28,7 +28,7 @@ using namespace std;
 using namespace gtsam;
 
 /* ************************************************************************* */
-TEST(DecisionTreeFactor, constructors_match) {
+TEST(DecisionTreeFactor, ConstructorsMatch) {
   // Declare two keys
   DiscreteKey X(0, 2), Y(1, 3);
 

gtsam/inference/BayesTreeCliqueBase.h

@@ -140,7 +140,7 @@ namespace gtsam {
     /** Access the conditional */
     const sharedConditional& conditional() const { return conditional_; }
 
-    /// Is this the root of a Bayes tree? 
+    /// Return true if this clique is the root of a Bayes tree. 
     inline bool isRoot() const { return parent_.expired(); }
 
     /// Return the number of children.

python/gtsam/tests/test_DiscreteBayesTree.py

@@ -20,7 +20,7 @@ from gtsam.utils.test_case import GtsamTestCase
 import gtsam
 from gtsam import (DiscreteBayesNet, DiscreteBayesTreeClique,
                    DiscreteConditional, DiscreteFactorGraph,
-                   DiscreteKeys, DiscreteValues, Ordering)
+                   DiscreteValues, Ordering)
 
 
 class TestDiscreteBayesNet(GtsamTestCase):
@@ -121,7 +121,7 @@ class TestDiscreteBayesNet(GtsamTestCase):
         graph.add([x2, a2, x3], table)
 
         # Eliminate for MPE (maximum probable explanation).
-        ordering = Ordering([A(2), X(3), X(1), A(1), X(2)])
+        ordering = Ordering(keys=[A(2), X(3), X(1), A(1), X(2)])
         lookup = graph.eliminateMultifrontal(ordering, gtsam.EliminateForMPE)
 
         # Check that the lookup table is correct