add example for metric strategies

examples/v1beta1/metric-strategy-example.yaml

@@ -0,0 +1,64 @@
+apiVersion: "kubeflow.org/v1beta1"
+kind: Experiment
+metadata:
+  namespace: kubeflow
+  labels:
+    controller-tools.k8s.io: "1.0"
+  name: metric-strategy-example
+spec:
+  objective:
+    type: maximize
+    goal: 0.99
+    objectiveMetricName: Validation-accuracy
+    additionalMetricNames:
+      - Train-accuracy
+    metricStrategies:
+      Validation-accuracy: "max"
+      Train-accuracy: "latest"
+  algorithm:
+    algorithmName: tpe
+  parallelTrialCount: 3
+  maxTrialCount: 12
+  maxFailedTrialCount: 3
+  parameters:
+    - name: --lr
+      parameterType: double
+      feasibleSpace:
+        min: "0.01"
+        max: "0.03"
+    - name: --num-layers
+      parameterType: int
+      feasibleSpace:
+        min: "2"
+        max: "5"
+    - name: --optimizer
+      parameterType: categorical
+      feasibleSpace:
+        list:
+          - sgd
+          - adam
+          - ftrl
+  trialTemplate:
+    goTemplate:
+      rawTemplate: |-
+        apiVersion: batch/v1
+        kind: Job
+        metadata:
+          name: {{.Trial}}
+          namespace: {{.NameSpace}}
+        spec:
+          template:
+            spec:
+              containers:
+              - name: {{.Trial}}
+                image: docker.io/kubeflowkatib/mxnet-mnist
+                command:
+                - "python3"
+                - "/opt/mxnet-mnist/mnist.py"
+                - "--batch-size=64"
+                {{- with .HyperParameters}}
+                {{- range .}}
+                - "{{.Name}}={{.Value}}"
+                {{- end}}
+                {{- end}}
+              restartPolicy: Never