Feature Generation

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

Fire Insights provides a number of processors for Feature Generation. These include:

Title	Description
DateToAge	Convert Date to Age
CaseWhen	Based on the value, convert it to another value
Scala	Write Scala code in Spark for generating new Features
SQL	Write SQL code for generating new features
StopWOrdRemover	Removes Stop Words
Tokenizer	Tokenizes a string into Tokens
OneHotEncoder	Applies one hot encoding
TF/IDF	Finds the TF and IDF
IndexString	Converts a column containg String to numeric values