ImputationTLearn Method (T, Double)

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

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

Syntax

public Imputation<T> Learn(
	T[][] x,
	double[] weights = null
)

Public Function Learn ( 
	x As T()(),
	Optional weights As Double() = Nothing
) As Imputation(Of T)

x: Type: T
The model inputs.
weights (Optional): Type: SystemDouble
The weight of importance for each input sample.

Type: ImputationT
A model that has learned how to produce suitable outputs given the input data x.

Exceptions

Exception	Condition
ArgumentException	weights
Exception	There are more predefined columns than columns in the data.