Model Registy.

Once we've completed all the training and registering the best model after analyzing their performance using the Experiment Registry. Then we registered the model.

Now we can deploy the registered model to the Production using Model Registry section.

from there we need to click on the model that we've registered previously from the Experiment Registry.

Once we click on the registered model, we can see the various details about the model. like the model version, registered time, model's current state and model training time.

Different stages for a model.

• None - Model is registered but not under staging or production

• Staging - If the model is in Staging, the Quality Analyzing team can check the performance of the model and do various type of test cases to measure the model capabilities and scalability. If they're satisfied with the performance they can move it Production.

• Production - If you want to send the model into Production Environment you need to choose the production. Then it can used through a model api or it can be used in Web Applications.

  Note: You can deploy a model only when it is with the Production tag.

Once you tagged a model with Production then you can use it in deployement.