Click or drag to resize
Accord.NET (logo)

QuasiNewtonLearningTLearn Method

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

Namespace:  Accord.Statistics.Models.Fields.Learning
Assembly:  Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
Syntax
public ConditionalRandomField<T> Learn(
	T[][] x,
	int[][] y,
	double[] weights = null
)
Request Example View Source

Parameters

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

Implements

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