class

CrystalML::Regression::RandomForestRegression

Inherits CrystalML::Regressor < CrystalML::SupervisedEstimator < CrystalML::BaseEstimator < Reference < Object

Constructors

new(n_trees : Int32 = 100, max_depth : Int32 = 10, min_size : Int32 = 2)
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Instance methods

fit(data : Tensor(Float64, CPU(Float64)), target : Tensor(Float64, CPU(Float64)))
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max_depth
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max_depth=(max_depth : Int32)
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min_size
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min_size=(min_size : Int32)
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n_trees
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n_trees=(n_trees : Int32)
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predict(data : Tensor(Float64, CPU(Float64))) : Tensor(Float64, CPU(Float64))
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trees
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trees=(trees : Array(DecisionTreeRegression))
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