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App Regression Learner

Entrene, valide y ajuste modelos de regresión de forma interactiva

Elija entre distintos algoritmos para entrenar y validar modelos de regresión. Tras entrenar varios modelos, compare los errores de validación de forma directa y, después, elija el mejor modelo. Para decidir qué algoritmo usar, consulte Train Regression Models in Regression Learner App.

Este diagrama de flujo muestra un flujo de trabajo frecuente para entrenar modelos de regresión en la app Regression Learner.

Apps

Regression LearnerTrain regression models to predict data using supervised machine learning

Temas

Flujo de trabajo frecuente

Train Regression Models in Regression Learner App

Workflow for training, comparing and improving regression models, including automated, manual, and parallel training.

Select Data and Validation for Regression Problem

Import data into Regression Learner from the workspace or files, find example data sets, and choose cross-validation or holdout validation options.

Choose Regression Model Options

In Regression Learner, automatically train a selection of models, or compare and tune options of linear regression models, regression trees, support vector machines, Gaussian process regression models, ensembles of regression trees, and regression neural networks.

Assess Model Performance in Regression Learner

Compare model statistics and visualize results.

Export Regression Model to Predict New Data

After training in Regression Learner, export models to the workspace, generate MATLAB® code, generate C code for prediction, or export models for deployment to MATLAB Production Server™.

Train Regression Trees Using Regression Learner App

Create and compare regression trees, and export trained models to make predictions for new data.

Train Regression Neural Networks Using Regression Learner App

Create and compare regression neural networks, and export trained models to make predictions for new data.

Flujo de trabajo personalizado

Feature Selection and Feature Transformation Using Regression Learner App

Identify useful predictors using plots, manually select features to include, and transform features using PCA in Regression Learner.

Hyperparameter Optimization in Regression Learner App

Automatically tune hyperparameters of regression models by using hyperparameter optimization.

Train Regression Model Using Hyperparameter Optimization in Regression Learner App

Train a regression ensemble model with optimized hyperparameters.

Check Model Performance Using Test Set in Regression Learner App

Import a test set into Regression Learner, and check the test set metrics for the best-performing trained models.

Export Plots in Regression Learner App

Export and customize plots created before and after training.

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