AutoML

AutoML is the process of giving an AutoML program your data and having it try to find the best algorithm and hyperparameter for you. This can often give you great general results but typically, it requires more fine-tuning if your AutoML is done well. AutoML can be expensive, so it’s important to watch your bill and plan accordingly. Databricks offers a very useful AutoML feature. Databricks AutoML performs data preparation, trains several models, and then finds the best-trained models. Databricks AutoML will use a variety of the most popular ML libraries in the evaluation. So, will AutoML give you the best model possible? No, it’s not going to replace the need for further feature engineering and model tuning. Instead, it’s going to take a chunk of the work off your plate and try to give you a reasonable model to start with. In some cases, that model will be good enough for what you need.

Note

You can learn more about AutoML by going to https://learn...