ProportionalHazardsNewtonRaphsonLearn Method (Double, Double, SurvivalOutcome, Double)

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

Namespace: Accord.Statistics.Models.Regression.Fitting
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0

Syntax

Copy

public ProportionalHazards Learn(
	double[][] inputs,
	double[] time,
	SurvivalOutcome[] censor,
	double[] weights = null
)

Public Function Learn ( 
	inputs As Double()(),
	time As Double(),
	censor As SurvivalOutcome(),
	Optional weights As Double() = Nothing
) As ProportionalHazards

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Parameters

inputs: Type: SystemDouble
The model inputs.
time: Type: SystemDouble
The time-to-event for the non-censored training samples.
censor: Type: Accord.Statistics.Distributions.UnivariateSurvivalOutcome
The output (event) associated with each input vector.
weights (Optional): Type: SystemDouble
The weight of importance for each input-output pair (if supported by the learning algorithm).

Return Value

Type: ProportionalHazards
A model that has learned how to produce censor given inputs and time.

Reference

ProportionalHazardsNewtonRaphson Class

Learn Overload

Accord.Statistics.Models.Regression.Fitting Namespace