Training a model using AutoML in Synapse
Azure Synapse Studio gives you the flexibility to develop a machine learning model on top of your dataset. In this recipe, you will learn how you can use the AutoML feature to train your model on the existing Spark tables. You can select the Spark table that you want to train the dataset on with the code-free experience of machine learning models using AutoML.
We will be using the regression model in this recipe. However, it is completely dependent on the problem that you are trying to solve, and you can choose from models including regression, classification, or Time Series Insights to fit your need.
Getting ready
We will be using the same Spark tables that we created in Chapter 2, Creating Robust Data Pipelines and Data Transformation.
We will need to do some setup to prepare for this recipe:
- We need to do this to get ready for the next steps. For more on how to create the Azure Machine Learning workspace, you can refer...
