Core modules and components of the Daniyal Machine Learning framework. More...
Collaboration diagram for Daniyal Machine Learning Framework:
Modules | |
| Core Type Definitions | |
| Fundamental scalar typedefs used across the Daniyal Machine Learning Framework. | |
| Utility Functions | |
| Core utility functions providing foundational support such as file and string handling. | |
| Data Encoding | |
| Core utilities for encoding and transforming categorical and binary features. | |
| Vector Types and Utilities | |
| Core vector data structures and utility functions. | |
| Double Precision List | |
| Core list types and utilities providing dynamic, lightweight collections. | |
| Matrix Types and Utilities | |
| Core matrix types and utilities for managing double and string data. | |
| Unordered Sets | |
| Core unordered set types and utilities for managing unique string elements efficiently. | |
| Mathematical Operations | |
| Core mathematical operations and transformations on vectors and matrices. | |
| Vector and Matrix Arithmetic | |
| Fundamental arithmetic operations on double precision vectors and matrices. | |
| Feature Scaling | |
| Feature scaling algorithms and utilities for preprocessing numerical data. | |
| Machine Learning Algorithms | |
| Core machine learning algorithms and configuration modules. | |
| Model Accuracy | |
| Core accuracy scoring utilities and evaluation metrics for machine learning models. | |
| Error Handling | |
| Centralized error management and reporting utilities for the framework. | |
Files | |
| file | dmlfw.h |
| Primary main header for the Daniyal Machine Learning Framework (dmlfw). | |
| file | dmlfw_algorithms.h |
| Core machine learning algorithms and configuration facilities. | |
| file | dmlfw_encoder.h |
| Core data encoding and transformation utilities. | |
| file | dmlfw_error.h |
| Centralized error handling interface for the framework. | |
| file | dmlfw_list.h |
| Core list types and utilities for double precision data. | |
| file | dmlfw_math.h |
| Core mathematical operations for vectors and matrices. | |
| file | dmlfw_matrix.h |
| Core matrix types and utilities for double and string data. | |
| file | dmlfw_model_accuracy.h |
| Core accuracy scoring utilities for ML models. | |
| file | dmlfw_scale.h |
| Feature scaling operations and utilities. | |
| file | dmlfw_set.h |
| Core unordered set types and utilities for string data. | |
| file | dmlfw_types.h |
| Fundamental scalar typedefs used across the framework. | |
| file | dmlfw_utils.h |
| Core utility functions for file and string processing. | |
| file | dmlfw_vector.h |
| Core vector types and utilities for double and string data. | |
Detailed Description
Core modules and components of the Daniyal Machine Learning framework.
