SSLError: HTTPSConnectionPool when registering ML model on Azure

[jay2017-git]

Hi Everyone,

Please I have my Databricks instance in a VNET. I’m trying to deploy my Machine learning model using the Azure ML workspace on Azure Container Instance (ACI).

I’m able to create an ML workspace. I get an SSLERROR when I try to register the Model using Model.register().

Using this code -

`from azureml.core import Workspace
from azureml.core.model import Model
import azureml.core
from azureml.core.workspace import Workspace
from azureml.core.model import Model

from azureml.core import Workspace
ws = Workspace.create(name='myworkspace',
subscription_id='mysub_id',
resource_group='myresourcegroup',
location='eastus'
)

model_reg = Model.register(model_path = “./model_dir”,
model_name = "ModelX",
workspace = ws)
`

Find below the error when I try to deploy my model.

SSL Error:
SSLError: HTTPSConnectionPool(host='eastus.experiments.azureml.net', port=443): Max retries exceeded with url: /discovery (Caused by SSLError(SSLError("bad handshake: SysCallError(104, 'ECONNRESET')")))
Please note only the Azure Databricks is in a VNET on Azure. How do I resolve it and deploy my model as a webservice on ACI.

I Understand my code is in python.

Thank you.