GithubHelp home page GithubHelp logo

Comments (11)

setuc avatar setuc commented on June 9, 2024 1

Can you share which environment are you using? It's possible that the environment doesn't contain xgbosst. Consider adding that package as part of conda.yaml
@yogidosalwar

from mlops-v2.

yogidosalwar avatar yogidosalwar commented on June 9, 2024 1

@setuc Here is my conda.yaml .
Thank you for quick response.
artifact

Here, i am stuck
RAI

from mlops-v2.

yogidosalwar avatar yogidosalwar commented on June 9, 2024 1

@setuc here is screen shot of DevOps
devops

Thank you.

from mlops-v2.

setuc avatar setuc commented on June 9, 2024 1

Ahh. Got it. The responsbileAi modules user the environment that's different than the base container. It refers to the container from the Rai-vnext-Preview code. You can check the Rai component yaml file to see how the environment file is being built.

from mlops-v2.

yogidosalwar avatar yogidosalwar commented on June 9, 2024 1

Ok. I will check.
Thank you.

from mlops-v2.

setuc avatar setuc commented on June 9, 2024

Do you have your pipeline? Or did you just replace the model with XGBoost?

from mlops-v2.

yogidosalwar avatar yogidosalwar commented on June 9, 2024

@setuc just i replace the model with XGBoost and added model dependencies in requirment.txt , train-conda.yml and train-monitor-conda.yml.

from mlops-v2.

yogidosalwar avatar yogidosalwar commented on June 9, 2024

@setuc I went through the Rai-component.yml file and I made changes in requirment.txt which is part of Rai-vnext-Preview.
But still, getting error in the Run Azure ML pipeline. If you have any input, please let me know.

Devops1

Thank you.

from mlops-v2.

cindyweng avatar cindyweng commented on June 9, 2024

Can you see what's going on in the AML pipeline? Via the studio

from mlops-v2.

yogidosalwar avatar yogidosalwar commented on June 9, 2024

@cindyweng @setuc I have RAI-vNext-Preview repo and MLOps-Test folder on my github. I made some changes as per my requirement in deploy-model-training-pipeline. yml, prep. py etc. and as well as I did changes in create_rai_insights.py. While running deploy-model-training-pipeline getting error while creating RAI Insights Dashboard Constructor. I went through the azure machine learning studio jobs and observe the code, but my changes are not showing there.

i did changes here
parser.add_argument("--maximum_rows_for_test_dataset", type=int, default=5000)
to
parser.add_argument("--maximum_rows_for_test_dataset", type=int, default=10000)
responsibleai

below changes i did in deploy-model-training-pipeline.yml

    - repository: RAI-vNext-Preview  # Template Repo  #rai-vnext-preview
      name: yogidosalwar/RAI-vNext-Preview # need to change org name from "Azure" to your own org #rai-vnext-preview
      endpoint: github-connection # need to set up and hardcode
      type: github
      ref: main  

Thank you

from mlops-v2.

yogidosalwar avatar yogidosalwar commented on June 9, 2024

@setuc @cindyweng Hi any update on above issue or suggestion???
Thank you

from mlops-v2.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.