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rm.process(k_nn)

Visibility: public Uploaded 20-04-2018 by Kimberly RapidMiner_8.1.001 0 runs
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A RapidMiner Flow

Parameters

k-NN__divergence	Select divergence	default: GeneralizedIDivergence
k-NN__k	The used number of nearest neighbors.	default: 1
k-NN__kernel_a	The kernel parameter a.	default: 1.0
k-NN__kernel_b	The kernel parameter b.	default: 0.0
k-NN__kernel_degree	The kernel parameter degree.	default: 3.0
k-NN__kernel_gamma	The kernel parameter gamma.	default: 1.0
k-NN__kernel_shift	The kernel parameter shift.	default: 1.0
k-NN__kernel_sigma1	The kernel parameter sigma1.	default: 1.0
k-NN__kernel_sigma2	The kernel parameter sigma2.	default: 0.0
k-NN__kernel_sigma3	The kernel parameter sigma3.	default: 2.0
k-NN__kernel_type	The kernel type	default: radial
k-NN__measure_types	The measure type	default: MixedMeasures
k-NN__mixed_measure	Select measure	default: MixedEuclideanDistance
k-NN__nominal_measure	Select measure	default: NominalDistance
k-NN__numerical_measure	Select measure	default: EuclideanDistance
k-NN__weighted_vote	Indicates if the votes should be weighted by similarity.	default: false

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