machine-learning/dmlfw_8h_source.html

#ifndef __DMLFW__ML__

#define __DMLFW__ML__


#include <dmlfw_types.h>

#include <dmlfw_matrix.h>

#include <dmlfw_operations.h>

#include <dmlfw_vector.h>

#include <dmlfw_encoder.h>

#include <dmlfw_math.h>

#include <dmlfw_utils.h>

#include <dmlfw_error.h>

#include <dmlfw_scale.h>

#include <dmlfw_model_accuracy.h>

#include <dmlfw_set.h>

#include <dmlfw_list.h>

#include <dmlfw_algorithms.h>


#endif // __DMLFW__ML__

dmlfw_algorithms.h
Core machine learning algorithms and configuration facilities.

dmlfw_encoder.h
Core data encoding and transformation utilities.

dmlfw_error.h
Centralized error handling interface for the framework.

dmlfw_list.h
Core list types and utilities for double precision data.

dmlfw_math.h
Core mathematical operations for vectors and matrices.

dmlfw_matrix.h
Core matrix types and utilities for double and string data.

dmlfw_model_accuracy.h
Core accuracy scoring utilities for ML models.

dmlfw_operations.h
Fundamental vector and matrix arithmetic.

dmlfw_scale.h
Feature scaling operations and utilities.

dmlfw_set.h
Core unordered set types and utilities for string data.

dmlfw_types.h
Fundamental scalar typedefs used across the framework.

dmlfw_utils.h
Core utility functions for file and string processing.

dmlfw_vector.h
Core vector types and utilities for double and string data.