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Chapter 6: Tools for Model Training and Experimenting

Chapter 6: Searching for Signal

Here is what you will learn as part of this chapter:

  1. Building a training set from a feature table
  2. Baselining with AutoML
  3. Tracking experiments with MLflow
  4. Classifying beyond the basic
  5. Integrating innovation
  6. Applying our learning

Technical requirements

Here are the technical requirements needed to complete the hands-on examples in this chapter:

  • In order to use the OpenAI API, you need to set up a paid account.
  • For our LLM model, we will integrate with the ChatGPT model from OpenAI. You will need an API Key and install the OpenAI Python library
  • We use the SQLAlchemy Dialect for Databricks workspace and sql analytics clusters using the officially supported databricks-sql-connector dbapi.

Links

In the chapter

Further Reading