- Use a Fusion job that trains a model, like Logistic Regression or Random Forest.
- Train a model using Spark’s MLlib API outside of Fusion, and upload this model into Fusion’s blob store. Complete details are available in Machine Learning Models in Fusion.
Machine Learning Stage
The Machine Learning query pipeline stage uses a trained machine learning model to analyze a field or fields of a Request object and stores the results of analysis in a new field added to either the Request or the Context object.
In order to use the Machine Learning Stage, you must train a machine learning model. There are two different ways to train a model: