update kubeflow dip-catalog
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@@ -0,0 +1,97 @@
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apiVersion: resources.yatai.ai/v1alpha1
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kind: Bento
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metadata:
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name: fraud-detection
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namespace: kubeflow
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spec:
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image: docker.io/bentoml/fraud_detection:o5smnagbncigycvj
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runners:
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- name: ieee-fraud-detection-0
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runnableType: XGBoost
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- name: ieee-fraud-detection-1
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runnableType: XGBoost
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- name: ieee-fraud-detection-2
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runnableType: XGBoost
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tag: fraud_detection:o5smnagbncigycvj
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---
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apiVersion: serving.yatai.ai/v2alpha1
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kind: BentoDeployment
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metadata:
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name: fraud-detection
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namespace: kubeflow
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spec:
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autoscaling:
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maxReplicas: 2
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metrics:
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- resource:
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name: cpu
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target:
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averageUtilization: 80
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type: Utilization
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type: Resource
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minReplicas: 1
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bento: fraud-detection
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ingress:
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enabled: false
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resources:
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limits:
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cpu: 1000m
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memory: 1024Mi
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requests:
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cpu: 100m
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memory: 200Mi
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runners:
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- autoscaling:
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maxReplicas: 2
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metrics:
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- resource:
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name: cpu
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target:
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averageUtilization: 80
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type: Utilization
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type: Resource
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minReplicas: 1
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name: ieee-fraud-detection-0
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resources:
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limits:
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cpu: 1000m
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memory: 1024Mi
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requests:
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cpu: 100m
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memory: 200Mi
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- autoscaling:
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maxReplicas: 2
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metrics:
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- resource:
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name: cpu
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target:
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averageUtilization: 80
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type: Utilization
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type: Resource
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minReplicas: 1
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name: ieee-fraud-detection-1
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resources:
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limits:
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cpu: 1000m
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memory: 1024Mi
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requests:
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cpu: 100m
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memory: 200Mi
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- autoscaling:
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maxReplicas: 2
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metrics:
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- resource:
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name: cpu
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target:
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averageUtilization: 80
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type: Utilization
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type: Resource
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minReplicas: 1
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name: ieee-fraud-detection-2
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resources:
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limits:
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cpu: 1000m
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memory: 1024Mi
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requests:
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cpu: 100m
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memory: 200Mi
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