Revision edecd39be2c60153554eb8b99b38fa25521b89ca authored by Andrey Velichkevich on 20 February 2019, 00:41:30 UTC, committed by Kubernetes Prow Robot on 20 February 2019, 00:41:30 UTC
* Delete modeldb from unit tests * Add library to interface test
1 parent c0f2f07
bayseopt-example.yaml
apiVersion: "kubeflow.org/v1alpha1"
kind: StudyJob
metadata:
namespace: kubeflow
labels:
controller-tools.k8s.io: "1.0"
name: bayseopt-example
spec:
studyName: random-example
owner: crd
optimizationtype: maximize
objectivevaluename: Validation-accuracy
optimizationgoal: 0.99
requestcount: 10
metricsnames:
- accuracy
parameterconfigs:
- name: --lr
parametertype: double
feasible:
min: "0.01"
max: "0.03"
- name: --num-layers
parametertype: int
feasible:
min: "1"
max: "4"
- name: --optimizer
parametertype: categorical
feasible:
list:
- sgd
- adam
- ftrl
workerSpec:
goTemplate:
rawTemplate: |-
apiVersion: batch/v1
kind: Job
metadata:
name: {{.WorkerID}}
namespace: kubeflow
spec:
template:
spec:
imagePullSecrets:
- name: gitlabregcred
containers:
- name: {{.WorkerID}}
image: katib/mxnet-mnist-example
command:
- "python"
- "/mxnet/example/image-classification/train_mnist.py"
- "--batch-size=32"
{{- with .HyperParameters}}
{{- range .}}
- "{{.Name}}={{.Value}}"
{{- end}}
{{- end}}
restartPolicy: Never
suggestionSpec:
suggestionAlgorithm: "bayesianoptimization"
suggestionParameters:
-
name: "burn_in"
value: "5"
requestNumber: 3
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