Experiment Registry

Once we finished training all the models using ml package. We can see all their performance metrics in the Experiment Registry.

To evaluate the model performances and the metrics, you need to click on the Experiments tab on the Left Sidebar on platform.

By using this Experiment Registry you can evaluate the models based on their performance by looking at their metrices. Also you can do the comparision in between the models. Once you find your best model you can register the model and use it for Staging and Production purposes.

We can find all the Experiments that you've done in the training stage will shown here.You need to choose the current experiment to view all the models that are trained.

We can even see that versioning of the models in case you train the same model several times. It include most of the popular evaluation metrics like accuracy score, precision score, recall score, f-1 score etc. You can use these metrics to evaluate the models to find the best model in your experiment.

Once you've completed all the training things and got your best model by analyzing their performances using the metrics in Experiments registry. You can simply register the model, so that it can send to Staging level or Production level.

Note : You cannot Productionize the model with out registering it.

Steps to Register the model.

• Once you find the best model based on the performance metrices, simply clik on the time lable of the particular model.

The models that are already registered will have different Icon, you can see that in the above figure(red-colured box).

• After clicking on the Time label of the best model. Choose the register model option.

• Then we had to choose create new model and give a name for it in order to differentiate between other registered models.After that the model will get registered. We can use in Production.

Once we registered the model, we can see that inside the model registry.