diff --git a/pkg/suggestion/v1alpha3/internal/search_space.py b/pkg/suggestion/v1alpha3/internal/search_space.py
index 467b84aa60c..02332a4f8dd 100644
--- a/pkg/suggestion/v1alpha3/internal/search_space.py
+++ b/pkg/suggestion/v1alpha3/internal/search_space.py
@@ -50,12 +50,12 @@ def convertParameter(p):
 
 
 class HyperParameter(object):
-    def __init__(self, name, type, min, max, list, step):
+    def __init__(self, name, type_, min_, max_, list_, step):
         self.name = name
-        self.type = type
-        self.min = min
-        self.max = max
-        self.list = list
+        self.type = type_
+        self.min = min_
+        self.max = max_
+        self.list = list_
         self.step = step
 
     def __str__(self):
@@ -67,12 +67,12 @@ def __str__(self):
                 self.name, self.type, ", ".join(self.list))
 
     @staticmethod
-    def int(name, min, max):
-        return HyperParameter(name, INTEGER, min, max, [], 0)
+    def int(name, min_, max_):
+        return HyperParameter(name, INTEGER, min_, max_, [], 0)
 
     @staticmethod
-    def double(name, min, max, step):
-        return HyperParameter(name, DOUBLE, min, max, [], step)
+    def double(name, min_, max_, step):
+        return HyperParameter(name, DOUBLE, min_, max_, [], step)
 
     @staticmethod
     def categorical(name, lst):
diff --git a/pkg/suggestion/v1alpha3/internal/trial.py b/pkg/suggestion/v1alpha3/internal/trial.py
index d37111b3832..7534aa29a83 100644
--- a/pkg/suggestion/v1alpha3/internal/trial.py
+++ b/pkg/suggestion/v1alpha3/internal/trial.py
@@ -20,7 +20,7 @@ def convert(trials):
         for trial in trials:
             if trial.status.condition == api.TrialStatus.TrialConditionType.SUCCEEDED:
                 new_trial = Trial.convertTrial(trial)
-                if new_trial != None:
+                if new_trial is not None:
                     res.append(Trial.convertTrial(trial))
         return res
 
@@ -33,14 +33,14 @@ def convertTrial(trial):
         target_metric, additional_metrics = Metric.convert(
             trial.status.observation, metric_name)
         # If the target_metric is none, ignore the trial.
-        if target_metric != None:
+        if target_metric is not None:
             trial = Trial(trial.name, assignments, target_metric,
                       metric_name, additional_metrics)
             return trial
         return None
 
     def __str__(self):
-        if self.name == None:
+        if self.name is None:
             return "Trial(assignment: {})".format(", ".join([str(e) for e in self.assignments]))
         else:
             return "Trial(assignment: {}, metric_name: {}, metric: {}, additional_metrics: {})".format(