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updated docs

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Luca Cerone 2022-08-03 17:58:01 +02:00
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charts/clearml-agent/README.md
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# clearml-agent
![Version: 1.2.1](https://img.shields.io/badge/Version-1.2.1-informational?style=flat-square) ![Type: application](https://img.shields.io/badge/Type-application-informational?style=flat-square) ![AppVersion: 1.24](https://img.shields.io/badge/AppVersion-1.24-informational?style=flat-square)
![Version: 1.2.2](https://img.shields.io/badge/Version-1.2.2-informational?style=flat-square) ![Type: application](https://img.shields.io/badge/Type-application-informational?style=flat-square) ![AppVersion: 1.24](https://img.shields.io/badge/AppVersion-1.24-informational?style=flat-square)
MLOps platform
@ -25,10 +25,11 @@ Kubernetes: `>= 1.19.0-0 < 1.25.0-0`
| Key | Type | Default | Description |
|-----|------|---------|-------------|
| agentk8sglue | object | `{"apiServerUrlReference":"https://api.clear.ml","clearmlcheckCertificate":true,"defaultContainerImage":"ubuntu:18.04","fileServerUrlReference":"https://files.clear.ml","id":"k8s-agent","image":{"repository":"allegroai/clearml-agent-k8s-base","tag":"1.24-18"},"maxPods":10,"podTemplate":{"env":[],"nodeSelector":{},"resources":{},"tolerations":[],"volumes":[]},"queue":"default","replicaCount":1,"serviceAccountName":"default","webServerUrlReference":"https://app.clear.ml"}` | This agent will spawn queued experiments in new pods, a good use case is to combine this with GPU autoscaling nodes. https://github.com/allegroai/clearml-agent/tree/master/docker/k8s-glue |
| agentk8sglue | object | `{"apiServerUrlReference":"https://api.clear.ml","clearmlcheckCertificate":true,"defaultContainerImage":"ubuntu:18.04","extraEnvs":[],"fileServerUrlReference":"https://files.clear.ml","id":"k8s-agent","image":{"repository":"allegroai/clearml-agent-k8s-base","tag":"1.24-18"},"maxPods":10,"podTemplate":{"env":[],"nodeSelector":{},"resources":{},"tolerations":[],"volumes":[]},"queue":"default","replicaCount":1,"serviceAccountName":"default","webServerUrlReference":"https://app.clear.ml"}` | This agent will spawn queued experiments in new pods, a good use case is to combine this with GPU autoscaling nodes. https://github.com/allegroai/clearml-agent/tree/master/docker/k8s-glue |
| agentk8sglue.apiServerUrlReference | string | `"https://api.clear.ml"` | Reference to Api server url |
| agentk8sglue.clearmlcheckCertificate | bool | `true` | Check certificates validity for evefry UrlReference below. |
| agentk8sglue.defaultContainerImage | string | `"ubuntu:18.04"` | default container image for ClearML Task pod |
| agentk8sglue.extraEnvs | list | `[]` | Environment variables to be exposed in the agentk8sglue pods |
| agentk8sglue.fileServerUrlReference | string | `"https://files.clear.ml"` | Reference to File server url |
| agentk8sglue.id | string | `"k8s-agent"` | ClearML worker ID (must be unique across the entire ClearMLenvironment) |
| agentk8sglue.image | object | `{"repository":"allegroai/clearml-agent-k8s-base","tag":"1.24-18"}` | Glue Agent image configuration |
@ -56,4 +57,4 @@ Kubernetes: `>= 1.19.0-0 < 1.25.0-0`
| imageCredentials.username | string | `"someone"` | Registry username |
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Autogenerated from chart metadata using [helm-docs v1.11.0](https://github.com/norwoodj/helm-docs/releases/v1.11.0)
Autogenerated from chart metadata using [helm-docs v1.10.0](https://github.com/norwoodj/helm-docs/releases/v1.10.0)