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AdaBoostTModelLearn Method (Double, Boolean, Double)

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

Namespace:  Accord.MachineLearning.Boosting
Assembly:  Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0
Syntax
public Boost<TModel> Learn(
	double[][] x,
	bool[] y,
	double[] weights = null
)
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Parameters

x
Type: SystemDouble
The model inputs.
y
Type: SystemBoolean
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).

Return Value

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

Implements

ISupervisedLearningTModel, TInput, TOutputLearn(TInput, TOutput, Double)
See Also