-
Notifications
You must be signed in to change notification settings - Fork 31
/
CoefficientStatistics.xml
129 lines (129 loc) · 6.34 KB
/
CoefficientStatistics.xml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
<Type Name="CoefficientStatistics" FullName="Microsoft.ML.Trainers.CoefficientStatistics">
<TypeSignature Language="C#" Value="public sealed class CoefficientStatistics" />
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit CoefficientStatistics extends System.Object" />
<TypeSignature Language="DocId" Value="T:Microsoft.ML.Trainers.CoefficientStatistics" />
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class CoefficientStatistics" />
<TypeSignature Language="F#" Value="type CoefficientStatistics = class" />
<AssemblyInfo>
<AssemblyName>Microsoft.ML.StandardTrainers</AssemblyName>
<AssemblyVersion>1.0.0.0</AssemblyVersion>
</AssemblyInfo>
<Base>
<BaseTypeName>System.Object</BaseTypeName>
</Base>
<Interfaces />
<Docs>
<summary>
Represents a coefficient statistics object containing statistics about the calculated model parameters.
</summary>
<remarks>To be added.</remarks>
</Docs>
<Members>
<Member MemberName="Estimate">
<MemberSignature Language="C#" Value="public readonly float Estimate;" />
<MemberSignature Language="ILAsm" Value=".field public initonly float32 Estimate" />
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Trainers.CoefficientStatistics.Estimate" />
<MemberSignature Language="VB.NET" Value="Public ReadOnly Estimate As Single " />
<MemberSignature Language="F#" Value="val mutable Estimate : single" Usage="Microsoft.ML.Trainers.CoefficientStatistics.Estimate" />
<MemberType>Field</MemberType>
<AssemblyInfo>
<AssemblyName>Microsoft.ML.StandardTrainers</AssemblyName>
<AssemblyVersion>1.0.0.0</AssemblyVersion>
</AssemblyInfo>
<ReturnValue>
<ReturnType>System.Single</ReturnType>
</ReturnValue>
<Docs>
<summary>
The model parameter (bias of weight) for which the statistics are generated.
</summary>
<remarks>To be added.</remarks>
</Docs>
</Member>
<Member MemberName="Index">
<MemberSignature Language="C#" Value="public readonly int Index;" />
<MemberSignature Language="ILAsm" Value=".field public initonly int32 Index" />
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Trainers.CoefficientStatistics.Index" />
<MemberSignature Language="VB.NET" Value="Public ReadOnly Index As Integer " />
<MemberSignature Language="F#" Value="val mutable Index : int" Usage="Microsoft.ML.Trainers.CoefficientStatistics.Index" />
<MemberType>Field</MemberType>
<AssemblyInfo>
<AssemblyName>Microsoft.ML.StandardTrainers</AssemblyName>
<AssemblyVersion>1.0.0.0</AssemblyVersion>
</AssemblyInfo>
<ReturnValue>
<ReturnType>System.Int32</ReturnType>
</ReturnValue>
<Docs>
<summary>
The index of the feature, in the Features vector, to which this model parameter (bias of weight) corresponds to.
</summary>
<remarks>To be added.</remarks>
</Docs>
</Member>
<Member MemberName="PValue">
<MemberSignature Language="C#" Value="public readonly float PValue;" />
<MemberSignature Language="ILAsm" Value=".field public initonly float32 PValue" />
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Trainers.CoefficientStatistics.PValue" />
<MemberSignature Language="VB.NET" Value="Public ReadOnly PValue As Single " />
<MemberSignature Language="F#" Value="val mutable PValue : single" Usage="Microsoft.ML.Trainers.CoefficientStatistics.PValue" />
<MemberType>Field</MemberType>
<AssemblyInfo>
<AssemblyName>Microsoft.ML.StandardTrainers</AssemblyName>
<AssemblyVersion>1.0.0.0</AssemblyVersion>
</AssemblyInfo>
<ReturnValue>
<ReturnType>System.Single</ReturnType>
</ReturnValue>
<Docs>
<summary>
The <a href="https://en.wikipedia.org/wiki/P-value">probability value</a> of the estimate of this model parameter (bias of weight).
</summary>
<remarks>To be added.</remarks>
</Docs>
</Member>
<Member MemberName="StandardError">
<MemberSignature Language="C#" Value="public readonly float StandardError;" />
<MemberSignature Language="ILAsm" Value=".field public initonly float32 StandardError" />
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Trainers.CoefficientStatistics.StandardError" />
<MemberSignature Language="VB.NET" Value="Public ReadOnly StandardError As Single " />
<MemberSignature Language="F#" Value="val mutable StandardError : single" Usage="Microsoft.ML.Trainers.CoefficientStatistics.StandardError" />
<MemberType>Field</MemberType>
<AssemblyInfo>
<AssemblyName>Microsoft.ML.StandardTrainers</AssemblyName>
<AssemblyVersion>1.0.0.0</AssemblyVersion>
</AssemblyInfo>
<ReturnValue>
<ReturnType>System.Single</ReturnType>
</ReturnValue>
<Docs>
<summary>
The <a href="https://en.wikipedia.org/wiki/Standard_error">standard deviation</a> of the estimate of this model parameter (bias of weight).
</summary>
<remarks>To be added.</remarks>
</Docs>
</Member>
<Member MemberName="ZScore">
<MemberSignature Language="C#" Value="public readonly float ZScore;" />
<MemberSignature Language="ILAsm" Value=".field public initonly float32 ZScore" />
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Trainers.CoefficientStatistics.ZScore" />
<MemberSignature Language="VB.NET" Value="Public ReadOnly ZScore As Single " />
<MemberSignature Language="F#" Value="val mutable ZScore : single" Usage="Microsoft.ML.Trainers.CoefficientStatistics.ZScore" />
<MemberType>Field</MemberType>
<AssemblyInfo>
<AssemblyName>Microsoft.ML.StandardTrainers</AssemblyName>
<AssemblyVersion>1.0.0.0</AssemblyVersion>
</AssemblyInfo>
<ReturnValue>
<ReturnType>System.Single</ReturnType>
</ReturnValue>
<Docs>
<summary>
The <a href="https://en.wikipedia.org/wiki/Standard_score">standard score</a> of the estimate of this model parameter (bias of weight).
Quantifies by how much the estimate is above or below the mean.
</summary>
<remarks>To be added.</remarks>
</Docs>
</Member>
</Members>
</Type>