Core data encoding and transformation utilities. More...

#include <dmlfw_types.h>
#include <encoder/dmlfw_data_encoder.h>

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Detailed Description

Core data encoding and transformation utilities.

Author: Mohammed Daniyal

Version: 1.0

Date: 2025-09-26

This umbrella header consolidates the encoder modules for categorical and binary feature encoding, providing access to core data transformation functionalities such as:

One-hot encoding
Binary encoding
Custom encoding algorithms

The encoder module enables conversion of textual or categorical column data into encoded numerical representations suitable for machine learning and data processing tasks. Specialized encoder operations are defined in their respective headers.

These encoding tools are foundational for feature engineering, model training, and interoperability with common ML workflows.

See also the specialized headers for detailed APIs:

Data Encoder API