Feature Extraction

Feature extraction is the process of creating new features from one or multiple existing features, potentially for use in statistical analysis. This process adds new information to be accessible during the model construction and therefore result in a more accurate model.

Fire Insights provides several processors for Feature Extraction using Spark ML:

• Date to Age

• Case When

• Scala

• SQL

• Stop Word Remover

• Tokenizer

• One Hot Encoder

• TF / IDF

• Index String

You can find the full guide here: https://docs.sparkflows.io/en/latest/user-guide/machine-learning/sparkml/feature-extraction.html