Code Generation
MATLAB®Coder™generates standalone, ANSI-compliant C code or MEX functions from Statistics and Machine Learning Toolbox™ functions that support code generation. For example, you can classify new observations on hardware devices that cannot run MATLAB by deploying a trained, binary or multiclass support vector machine classification model to the device using code generation.
Functions
saveCompactModel |
Save model object in file for code generation |
loadCompactModel |
Reconstruct model object from saved model for code generation |
Topics
Code Generation Support, Usage Notes, and Limitations
View a list of code-generation-enabled statistics functions, and corresponding limitations and other notes.
Generate code for Statistics and Machine Learning Toolbox functions including label prediction using classification models.
Code Generation Workflow for Exhaustive Searcher
使用生成代码寻找最近的邻居an exhaustive searcher model.
C Code Generation and Classification Learner
Generate code from a label prediction function that loads a classification model from Classification Learner.
Specify Variable-Sized Arguments for Code Generation
Generate code from a label prediction function that is flexible with respect to the number of observations and the dimensions of other parameter values.
C Code Generation for Image Classifier
This example shows how to generate C 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.