AliasMethod

Full name Microsoft.VisualBasic.MachineLearning.Bootstrapping.node2vec.AliasMethod Assembly Microsoft.VisualBasic.MachineLearning.Bootstrapping Members 2

01 Syntax

Microsoft.VisualBasic.MachineLearning.Bootstrapping.node2vec.AliasMethod

02 Methods

Name	Overloads	Summary
.ctor	1	Constructs a new node2vec.AliasMethod to sample from a discrete distribution and hand back outcomes based on the probability distribution.
next	1	Samples a value from the underlying distribution.

03 Members

method .ctor #

#ctor(IList(Of Double))

Constructs a new node2vec.AliasMethod to sample from a discrete distribution and hand back outcomes based on the probability distribution.

Given as input a list of probabilities corresponding to outcomes 0, 1, ..., n - 1, along with the random number generator that should be used as the underlying generator, this constructor creates the probability and alias tables needed to efficiently sample from this distribution.

Parameters

Name	Type	Description
`probabilities`	`IList(Of Double)`	The list of probabilities.

method next #

Samples a value from the underlying distribution.

Returns

A random value sampled from the underlying distribution.