Matlab Use Machine Learning Apps
Use when the user wants to train, compare, or export machine learning models using...
Install
npx skills add matlab/matlab-agentic-toolkit --skill matlab-use-machine-learning-apps -g -a claude-code -y- Repository
- matlab/matlab-agentic-toolkit1.2k
- Category
- Testing
- Updated
- 8d ago
- License
- See repository
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- No, instructions only
What it does
Use when the user wants to train, compare, or export machine learning models using Classification Learner or Regression Learner, including opening the app, loading data, training models, evaluating metrics, comparing results, visualizing plots, testing on held-out data, exploring model interpretability, and exporting trained models. Programmatic access to Classification Learner and Regression Learner apps via AppController.
Learner Apps AppController Reference
mlearnapp.internal.appcontroller.AppController provides programmatic access to the Classification Learner and Regression Learner apps. Use it to interact with learner apps and query their state.
Source (loaded at runtime): <skill-base-directory>/scripts/+mlearnapp/+internal/+appcontroller/AppController.p
API Reference (load on demand)
| When you need... | Load this file |
|---|---|
| Open/close/save/load app, session setup, create/train/select/delete models, model status, GalleryModels enum | api-session-and-models.md |
| Metrics, model spec queries, toolstrip buttons, set feature selection/PCA/optimizer/cost/hyperparameters | api-metrics-and-options.md |
| Open/configure standard plots, results table, standard plot data getters | api-plots.md |
| PDP, permutation importance, Shapley, LIME, Set Shapley Parameters, explainability plot data getters | api-explainability.md |
| Export methods, command logging, diagnostics | api-export-and-diagnostics.md |
Required: Statistics and Machine Learning Toolbox. Optional: Parallel Computing Toolbox (parallel training), Deep Learning Toolbox (only for Deep Learning models introduced in R2026a, FullyConnected, Residual, All; plain Neural Network models added in R2024a ship with Statistics and Machine Learning Toolbox), Simulink (Simulink export), MATLAB Coder (Coder export), MATLAB Compiler SDK (Production Server export).
