module CrystalML::Regressor
Direct including types
- CrystalML::Regression::BayesianRegression
- CrystalML::Regression::DecisionTreeRegression
- CrystalML::Regression::LinearRegression
- CrystalML::Regression::RandomForestRegression
Defined in:
base.crInstance Method Summary
- #predict(data : Tensor(Float64, CPU(Float64))) : Tensor(Float64, CPU(Float64))
- #predict(data : Array(Array(Float64)) | Crysda::DataFrame) : Tensor(Float64, CPU(Float64))
Instance Method Detail
abstract
def predict(data : Tensor(Float64, CPU(Float64))) : Tensor(Float64, CPU(Float64))
#
def predict(data : Array(Array(Float64)) | Crysda::DataFrame) : Tensor(Float64, CPU(Float64))
#