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
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.
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.Thank you.