Numeric features allow a user to take their source tables and easily apply a variety of feature engineering techniques to it. It effectively separates general data engineering tasks (ex. join actions and users tables) from data science-oriented ones (ex. fill missing values with the mean value, truncate outliers, and min-max scale the column)
Numeric features allow a user to take their source tables and easily apply a variety of feature engineering techniques to it. It effectively separates general data engineering tasks (ex. join actions and users tables) from data science-oriented ones (ex. fill missing values with the mean value, truncate outliers, and min-max scale the column)