[
https://issues.apache.org/jira/browse/SUBMARINE-590?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Kevin Su updated SUBMARINE-590:
-------------------------------
Description:
- Improve chart/param/metric UI
- Fix the database connection error due to the update in SUBMARINE-575
- Read the data from the `metric` table, and draw charts in workbench
Following commands could reproduce the experiment
{code:java}
curl -X POST -H "Content-Type: application/json" -d '
{
"meta": {
"name": "tf-mnist2",
"namespace": "submarine",
"framework": "TensorFlow",
"cmd": "python3 /var/example/tracking.py",
"envVars":{ "ENV_1": "ENV1" }
},
"environment":{ "image": "pingsutw/tracking-example:0.5.0.dev" },
"spec": {
"Ps":{ "replicas": 1, "resources": "cpu=1,memory=1024M" },
"Worker":{ "replicas": 1, "resources": "cpu=1,memory=1024M" }
}
}
' http://127.0.0.1:8080/api/v1/experiment
{code}
was:
- Improve chart/param/metric UI
- Fix the database connection error due to the update in SUBMARINE-575
- Read the data from the `metric` table, and draw charts in workbench
Following commands could reproduce the experiment
```bash
curl -X POST -H "Content-Type: application/json" -d '
{
"meta": {
"name": "tf-mnist2",
"namespace": "submarine",
"framework": "TensorFlow",
"cmd": "python3 /var/example/tracking.py",
"envVars": {
"ENV_1": "ENV1"
}
},
"environment": {
"image": "pingsutw/tracking-example:0.5.0.dev"
},
"spec": {
"Ps": {
"replicas": 1,
"resources": "cpu=1,memory=1024M"
},
"Worker": {
"replicas": 1,
"resources": "cpu=1,memory=1024M"
}
}
}
' http://127.0.0.1:8080/api/v1/experiment
```
> [WEB] Update chart/param/metric UI
> -----------------------------------
>
> Key: SUBMARINE-590
> URL: https://issues.apache.org/jira/browse/SUBMARINE-590
> Project: Apache Submarine
> Issue Type: Sub-task
> Components: Workbench Web
> Reporter: Kevin Su
> Assignee: Kevin Su
> Priority: Major
> Fix For: 0.5.0
>
>
> - Improve chart/param/metric UI
> - Fix the database connection error due to the update in SUBMARINE-575
> - Read the data from the `metric` table, and draw charts in workbench
> Following commands could reproduce the experiment
> {code:java}
> curl -X POST -H "Content-Type: application/json" -d '
> {
> "meta": {
> "name": "tf-mnist2",
> "namespace": "submarine",
> "framework": "TensorFlow",
> "cmd": "python3 /var/example/tracking.py",
> "envVars":{ "ENV_1": "ENV1" }
> },
> "environment":{ "image": "pingsutw/tracking-example:0.5.0.dev" },
> "spec": {
> "Ps":{ "replicas": 1, "resources": "cpu=1,memory=1024M" },
> "Worker":{ "replicas": 1, "resources": "cpu=1,memory=1024M" }
> }
> }
> ' http://127.0.0.1:8080/api/v1/experiment
> {code}
>
>
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