Step 3 : Model Registry
- Once a dataset is trained we can import the model in Model Registry.
- A model registry is used to store version trained machine learning models. It is a type of repository..
- Here, all the models with their version type is displayed.
- Click on Name of model which we havwe assign while training i.e. Titanic.
Fig 10: Model Registry
Build, Test, and Deploy Model With AutoML
The term “Automated Machine Learning,” or “AutoML,” refers to a set of tools and methods used to speed up the creation of machine learning models. It automates a variety of processes, including model evaluation, feature selection, hyperparameter tweaking, and data preparation. By automating the intricate and time-consuming processes involved in model creation, AutoML platforms hope to make machine learning accessible to people and businesses without a strong background in data science.