Extensions

Full name Microsoft.VisualBasic.MachineLearning.Extensions Assembly Microsoft.VisualBasic.MachineLearning Members 3

01 Syntax

Microsoft.VisualBasic.MachineLearning.Extensions

02 Methods

Name	Overloads	Summary
ValueTruncate	1	对值进行约束剪裁
Delta	1	Generate small delta for GA mutations
ToDataMatrix	1	Convert samples data to dataset matrix

03 Members

method ValueTruncate #

ValueTruncate(Double, Double)

对值进行约束剪裁

Parameters

Name	Type	Description
`value`	`Double`	The target value that will be truncated.
`truncate`	`Double`	the absolute value of the limitation.(修建的阈值应该是一个正实数来的)

Returns

A value that is limited in the interval [-truncate, truncate]; the NaN, +Infinity and -Infinity values will also be replaced by a valid number.

method Delta #

Delta(Double, Double)

Generate small delta for GA mutations

Remarks

1 = 10 ^ 0 ~ 0.1 = 10 ^ 1 0.1 10 = 10 ^ 1 ~ 1 = 10 ^ 2 0.1

Parameters

Name	Type	Description
`x`	`Double`	The reference value for calculates the magnitude of the delta.
`d`	`Double`	The ratio factor of the generated delta relative to the magnitude of the x value, the default value is `0.1`.

Returns

A small delta value which is proportional to the order of magnitude of the x value.

method ToDataMatrix #

ToDataMatrix``1(IEnumerable(Of Sample), String(), String())

Convert samples data to dataset matrix

Type Parameters

Name	Description
`T`	The type of the target output dataset.

Parameters

Name	Type	Description
`samples`	`IEnumerable(Of Sample)`	A collection of the Sample data.
`names`	`String()`	The property names of the sample data vector.
`outputNames`	`String()`	The property names of the output vector for each sample

Returns

data layout of the populated matrix row:

 ID|names|outputNames