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