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Note: in the videos, Cristian uses Jupyter in VS code and runs everything locally
But if you set up a VM in the previous module, you can keep using it and use the usual Jupyter from your browser. There's no significant difference between using Jupyter with VS code and without
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Starting MLflow 2.9, model registry stages are deprecated. Please use model version tags and aliases instead of stages. For example, instead of
transition_model_version_stage(name, version, stage)
useset_registered_model_alias(name, alias, version)
. More details here and here.
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More information here.
Did you take notes? Add them here:
- Notes/General Docs on MLflow by Ayoub
- Minimalist MLflow code reference by Anna V
- Notes from second lesson by Neimv
- 2nd Week Experiment & Tracking notes by Ayoub.B
- Experiment tracking (jupyterbook) by particle1331
- Week 2: Experiment & Tracking Notes by Bengsoon Chuah
- 2.4 Model Management Notes by Alvaro Pena
- Notes by Alvaro Navas
- Notebook from froukje and notes
- Blog post on setting up MLFlow on GCP by Isaac Kargar.
- Week2: Experiment tracking notes and notebook by Bhagabat
- Notes of ML-flow by Jaime Cabrera-Salcedo
- Experiment tracking with MLflow by Hongfan (Amber)
- Running MLflow with Docker and on Minikube
- Chapter 2: Full Notes by Marcus
- Experiemnt Tracking and Mlflow by Annaliese Tech
- Adding Hyperparameter Tuning to Your Notebook with MLflow and Hyperopt by Annaliese Tech
- MLFlow setup and Experiment Tracking by Hokfu
- Send a PR, add your notes above this line