class CrystalML::Regression::BayesianRegression

• CrystalML::Regression::BayesianRegression
• CrystalML::SupervisedEstimator
• CrystalML::BaseEstimator
• Reference
• Object

Included Modules

• CrystalML::Regressor

Defined in:

regression/bayesian_regression.cr

Constructors

• .new(alpha : Float64 = 1.0, beta : Float64 = 1.0)

Instance Method Summary

• #alpha : Float64

  Hyperparameters for the prior distribution

• #alpha=(alpha : Float64)

  Hyperparameters for the prior distribution

• #beta : Float64
• #beta=(beta : Float64)
• #covariance : Tensor(Float64, CPU(Float64))
• #covariance=(covariance : Tensor(Float64, CPU(Float64)))
• #fit(data : Tensor(Float64, CPU(Float64)), target : Tensor(Float64, CPU(Float64)))
• #mean : Tensor(Float64, CPU(Float64))
• #mean=(mean : Tensor(Float64, CPU(Float64)))
• #predict(data : Tensor(Float64, CPU(Float64))) : Tensor(Float64, CPU(Float64))
• #predict_variances(data : Tensor(Float64, CPU(Float64))) : Tensor(Float64, CPU(Float64))

Constructor Detail

Instance Method Detail