- 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.
When specifying field names, multiple field names are supported, in this format:
field1:weight,field2:weight,field3:weight