BaseSplitSetValidationTResult, TModel, TLearner, TInput, TOutputLearn Method

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

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

Syntax

public abstract TResult Learn(
	TInput[] x,
	TOutput[] y,
	double[] weights = null
)

Public MustOverride Function Learn ( 
	x As TInput(),
	y As TOutput(),
	Optional weights As Double() = Nothing
) As TResult

x: Type: TInput
The model inputs.
y: Type: TOutput
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: TResult
A model that has learned how to produce y given x.

BaseSplitSetValidationAddLanguageSpecificTextSet("LST8DB7BE3B_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TResult, TModel, TLearner, TInput, TOutputAddLanguageSpecificTextSet("LST8DB7BE3B_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)");AddLanguageSpecificTextSet("LST8DB7BE3B_2?cpp=::|nu=.");Learn Method