Data Versioning and Reproducible ML with DVC and MLflow

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  • Опубліковано 22 гру 2024

КОМЕНТАРІ • 14

  • @HelloIamRachnaGupta
    @HelloIamRachnaGupta 3 роки тому +7

    This was an amazing introduction to DVC and mlflow. Thanks a lot Petra and databricks.

  • @digishah
    @digishah Рік тому +1

    Thank you so much for the clear and well narrated lecture. Really appreciate it 🙏🙏🙏

  • @FabioGeraci-i1k
    @FabioGeraci-i1k 10 місяців тому +1

    Thanks Petra. Could I use the same approach for model versioning?

  • @ranjithkumarkarthic8696
    @ranjithkumarkarthic8696 2 роки тому

    Wonderful explanations and 100% useful demo. Thank you so much.

  • @monocongo
    @monocongo 2 роки тому

    Very helpful, thank you, Petra.

  • @RobertKwapich
    @RobertKwapich 3 роки тому +3

    BTW she uses arch ^^
    Good presentation! Thanks!

  • @papaviagbeko272
    @papaviagbeko272 3 роки тому +3

    Hi, please, It's possible to connect DVC to SQL or NoSQL table ?

  • @sayamkumar8899
    @sayamkumar8899 3 роки тому

    Great presentation. Learned a lot. Thanks Petra

  • @goodboygonebad9320
    @goodboygonebad9320 2 роки тому

    Easy to understand.

  • @quasenerd5476
    @quasenerd5476 3 роки тому +2

    Delta Lake can replace DVC as a data versioning tool?

  • @latasatbhai4728
    @latasatbhai4728 3 роки тому +1

    Great Info!!

  • @papaviagbeko272
    @papaviagbeko272 3 роки тому

    Very useful, thanks so

  • @sivanagarajuboyina4617
    @sivanagarajuboyina4617 2 роки тому

    🙏🙏

  • @abdelrhmanmohey535
    @abdelrhmanmohey535 3 роки тому

    wee needed the code to make thing much easier and dont forget that
    mlflow.end_run()
    if u are normal DataScience (student) that using jupyter notebook in your (study)
    u need to end the session before starting to log new change and the code wont hurt any way if there was none open
    mlflow.end_run()
    mlflow.end_run()
    mlflow.end_run()