Iris ? Inference service

Model served by KServe ● Ready

Iris flower classification model served by KServe.

Details

Model	`iris`
Format	`sklearn`
Protocol	`v1`
Source	`gs://kfserving-examples/models/sklearn/1.0/model`
Internal URL (cluster)	`http://iris.mlops.internal.leelab.es`

How to send a request

Inference endpoint (v1):

POST https://iris-mlops.leelab.es/v1/models/iris:predict

curl example:

curl -X POST "https://iris-mlops.leelab.es/v1/models/iris:predict" \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"instances": [[5.1, 3.5, 1.4, 0.2]]}'

Sample payload:

{
  "instances": [
    [
      5.1,
      3.5,
      1.4,
      0.2
    ]
  ]
}

Authentication

The public endpoint is protected by TLS + JWT (Keycloak). Add the Authorization: Bearer <token> header to every request sent to /v1 or /v2. This page (/) is public; the inference API is not.

Test the model

Paste your JWT and send the sample payload to verify that the model responds:

Not run yet.

Generated by mlops-backend.