MinimumMeanDistanceClassifierLearn Method

Learns a model that can map the given inputs to the given outputs.

Namespace: Accord.MachineLearning
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0

Syntax

public MinimumMeanDistanceClassifier Learn(
	double[][] x,
	int[] y,
	double[] weights = null
)

Public Function Learn ( 
	x As Double()(),
	y As Integer(),
	Optional weights As Double() = Nothing
) As MinimumMeanDistanceClassifier

x: Type: SystemDouble
The model inputs.
y: Type: SystemInt32
The desired outputs associated with each x.
weights (Optional): Type: SystemDouble
The weight of importance for each input-output pair (if supported by the learning algorithm).

Type: MinimumMeanDistanceClassifier
A model that has learned how to produce y given x.

MinimumMeanDistanceClassifierAddLanguageSpecificTextSet("LST1042BB6C_0?cpp=::|nu=.");Learn Method