Gaussian Process

method = 'gaussprLinear'

Type: Regression, Classification

No Tuning Parameters

Gaussian Process with Polynomial Kernel

method = 'gaussprPoly'

Type: Regression, Classification

Tuning Parameters: degree (Polynomial Degree), scale (Scale)

Gaussian Process with Radial Basis Function Kernel

method = 'gaussprRadial'

Type: Regression, Classification

Tuning Parameters: sigma (Sigma)

Variational Bayesian Multinomial Probit Regression

method = 'vbmpRadial'

Type: Classification

Tuning Parameters: estimateTheta (Theta Estimated)

• Links

  train Model List

• Topics

  • Data Sets
  • Visualizations
  • Pre-Processing
  • Data Splitting
  • Miscellaneous Model Functions
  • Model Training and Tuning
  • train Model List
  • train Models By Tag
  • train Models By Similarity
  • Using Custom Models
  • Variable Importance
  • Feature Selection
  • Other Functions
  • Parallel Processing