Scala for Machine Learning - Second Edition

Monadic data transformation

The first step is to define a trait and a method that describe the transformation of data by the computation units of a workflow. The data transformation is the foundation of any workflow for processing and classifying a dataset, training and validating a model, and displaying results.

There are two symbolic models for defining a data processing or data transformation:

• Explicit model: The developer creates a model explicitly from a set of configuration parameters. Most deterministic algorithms and unsupervised learning techniques use an explicit model.
• Implicit model: The developer provides a training set that is a set of labeled observations (observations with expected outcome). A classifier extracts a model through the ...