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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.
Passed 20 of 23 test cases with the skill, and 10 of 23 without it.
and 8 more in the full report
11 fixed11 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
I have a pre-trained workspace model `myTrainedSVM` and want to import it into my Learner app session using `importTrainedModel`. Which MATLAB release introduced this capability?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies MATLAB R2026a as the minimum release for importing workspace models. | Missed | Passed |
The instructions your model reads when the skill loads.
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
| 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).
fitc*/fitr* functions directlycloseApp('Force', true) without explicit user permission. Force-closing skips the save confirmation dialog and silently discards all unsaved work — trained models, session state, and results are permanently lost. Always prefer closeApp() (without Force) so the user gets a chance to save. Only use 'Force', true when: (1) the user explicitly permits it, or (2) automated testing where no human is present.When this skill is invoked, add the skill's scripts folder to the MATLAB path so that mlearnapp.internal.appcontroller classes are available. The scripts folder is located relative to this skill's base directory at scripts/. Run this via the MATLAB MCP evaluate_matlab_code tool, using the skill's base directory path shown at the top of the skill load message:
test cases passed, vs 10 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.