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MATLAB® Coder™는 코드 생성을 지원하는 Statistics and Machine Learning Toolbox™ 함수에서 독립형 ANSI 호환 C 코드 또는 MEX 함수를 생성합니다. 예를 들어, 코드 생성을 사용하여 MATLAB을 실행할 수 없는 하드웨어 장치에 훈련된 이진 또는 다중클래스 서포트 벡터 머신 분류 모델을 배포하여 이 장치에서 새 관측값을 분류할 수 있습니다.
saveCompactModel | Save model object in file for code generation |
loadCompactModel | Reconstruct model object from saved model for code generation |
Code Generation Support, Usage Notes, and Limitations
View code generation usage notes, limitations, and the list of code-generation-enabled Statistics and Machine Learning Toolbox functions.
Introduction to Code Generation
Learn how to generate C/C++ code for Statistics and Machine Learning Toolbox functions.
Code Generation for Prediction of Machine Learning Model Using MATLAB Coder App
Generate code for the prediction of a classification or regression model by using the MATLAB Coder app.
Code Generation and Classification Learner App
Train a classification model using the Classification Learner app, and generate C/C++ code for prediction.
Specify Variable-Size Arguments for Code Generation
Generate code that accepts input arguments whose size might change at run time.
Code Generation for Image Classification
Generate code from a MATLAB function that classifies images of digits using a trained classification model.
Predict Class Labels Using MATLAB Function Block
Generate code from a Simulink® model that classifies data using an SVM model.
System Objects for Classification and Code Generation
Generate code from a System object™ for making predictions using a trained classification model, and use the System object in a Simulink model.
Predict Class Labels Using Stateflow
Generate code from a Stateflow® model that classifies data using a discriminant analysis classifier.
Human Activity Recognition Simulink Model for Smartphone Deployment
Generate code from a classification Simulink model prepared for deployment to a smartphone.