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Forum Posts

Saurabh707344
by New Contributor III
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Resolved! Comparative study of Azure Databricks MLOps capabilities in conjuction with Azuredevops, GIT, Jenkins

Looking for Comparative study of capabilities of below tools combination. In what situation I should use which of the below combination for MLOps project?a) Azure Databricks MLb) Azure Databricks ML + Azure Devops + GITc) Azure Databricks ML + Jenkin...

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Latest Reply
shyam_9
Valued Contributor
  • 1 kudos

Hi @saurabh707344, you can use Azure Databricks ML when you're in the initial stages and developing some POCs. The other tools you mentioned were used based on your usecase when you moved some of the models to production and actively developing and ...

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Saurabh707344
by New Contributor III
  • 1497 Views
  • 4 replies
  • 3 kudos

Azure Databricks Capabilities: My objective is to evaluate Azure Databricks capability and Do I need to use Azure Devops or Jenkins or Databricks suffice the need.

hi,We have Real time streaming usecase where we have to build pipeline using Azure Databricks.My objective is to evaluate Azure Databricks capability and Do I need to use Azure Devops or Jenkins or Databricks suffice the need.Can you please provide c...

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  • 4 replies
  • 3 kudos
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StephanieRivera
Valued Contributor II
  • 3 kudos

I found these youtube videos to be beneficial. CI/CD with Azure Dev Ops Terraform Enablement - Part 1 of 2

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Saurabh707344
by New Contributor III
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  • 1 replies
  • 2 kudos

Sample Archietcture for Databricks MLOps

Do anyone have sample architectures for Mlops using Databricks and other possible variations of architecture ?

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Annapurna_Hiriy
New Contributor III
  • 2 kudos

@Saurabh Singh​ This is well documented here:https://www.databricks.com/blog/2022/06/22/architecting-mlops-on-the-lakehouse.htmlPlease see: Reference architecture for MLOpsFurther refrences: Refer to The Big Book of MLOps for more discussion of the a...

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Vpax
by New Contributor
  • 801 Views
  • 2 replies
  • 0 kudos

Resolved! How does ML Flow work with Databricks monitoring product recently released ?

Does the monitoring tool interact with MLFlow and Feature Store too ?

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BilalAslamDbrx
Honored Contributor II
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@VirooPax Mirji​ what "monitoring tool" are you referring to?

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User15787040559
by New Contributor III
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Can we retrieve experiment results via MLflow API or is this only possible using UI?

Yes, you can use the API https://www.mlflow.org/docs/latest/python_api/index.html

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  • 1 replies
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Mooune_DBU
Valued Contributor
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There are many ways you can retrieve experiments results using the mlflow API (see example if you want to retrieve and display for only a specific model (assuming you have the `model_name`:best_models = mlflow.search_runs(filter_string=f'tags.model="...

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User16826993440
by New Contributor III
  • 1857 Views
  • 1 replies
  • 1 kudos

What is the best practice for applying MLFlow to clustering algorithms?

What is the best practice for applying MLFlow to clustering algorithms? What are the kinds of metrics customers track?

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Joseph_B
New Contributor III
  • 1 kudos

Good question! I'll divide my suggestions into 2 parts:(1) In terms of MLflow Tracking, clustering is pretty similar to other ML workflows, so not much changes.(2) In terms of specific parameters, metrics, etc. to track, clustering is very different...

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