Regressione con Support Vector Machine

Support Vector Machine per i modelli di regressione

Per ottenere una maggiore precisione su insiemi di dati a bassa e media dimensionalità, addestrare un modello di Support Vector Machine (SVM) utilizzando fitrsvm.

Per ridurre i tempi computazionali su insiemi di dati ad alta dimensionalità, addestrare in modo efficiente un modello di regressione lineare, come ad esempio un modello SVM lineare, utilizzando fitrlinear.

App

Regression LearnerTrain regression models to predict data using supervised machine learning

Blocchi

RegressionSVM PredictPredict responses using support vector machine (SVM) regression model
RegressionLinear PredictPredict responses using linear regression model (Da R2023a)
RegressionKernel Predict Predict responses using Gaussian kernel regression model (Da R2024b)
IncrementalRegressionLinear PredictPredict responses using incremental linear regression model (Da R2023b)
IncrementalRegressionLinear FitFit incremental linear regression model (Da R2023b)
IncrementalRegressionKernel FitFit incremental kernel regression model (Da R2024b)
IncrementalRegressionKernel PredictPredict responses using incremental kernel regression model (Da R2024b)
Update MetricsUpdate performance metrics in incremental learning model given new data (Da R2023b)
Detect DriftUpdate drift detector states and drift status with new data (Da R2024b)

Funzioni

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fitrsvmFit a support vector machine regression model
predictPredict responses using support vector machine regression model
fitrlinearFit linear regression model to high-dimensional data
predictPredict response of linear regression model
fitrkernelFit Gaussian kernel regression model using random feature expansion
predictPredict responses for Gaussian kernel regression model
crossvalCross-validate machine learning model
limeLocal interpretable model-agnostic explanations (LIME)
partialDependenceCompute partial dependence
permutationImportancePredictor importance by permutation (Da R2024a)
plotPartialDependenceCreate partial dependence plot (PDP) and individual conditional expectation (ICE) plots
shapleyShapley values
fitrchainsMultiresponse regression with regression chains (Da R2024b)
predictPredict responses using multiresponse regression model (Da R2024b)

Oggetti

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RegressionSVMSupport vector machine regression model
CompactRegressionSVMCompact support vector machine regression model
RegressionLinearLinear regression model for high-dimensional data
RegressionPartitionedLinearCross-validated linear regression model for high-dimensional data
RegressionKernelGaussian kernel regression model using random feature expansion
RegressionPartitionedKernelCross-validated kernel model for regression
RegressionChainEnsembleMultiresponse regression model (Da R2024b)
CompactRegressionChainEnsembleCompact multiresponse regression model (Da R2024b)

Argomenti