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C45LearningLearn Method (Double, Int32, Double)

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

Namespace:  Accord.MachineLearning.DecisionTrees.Learning
Assembly:  Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.7.0
Syntax
public DecisionTree Learn(
	double[][] x,
	int[] y,
	double[] weights = null
)
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Parameters

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).

Return Value

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

Implements

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