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ComputeLRTrainingStdThroughMkl.xml
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ComputeLRTrainingStdThroughMkl.xml
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<Type Name="ComputeLRTrainingStdThroughMkl" FullName="Microsoft.ML.Trainers.ComputeLRTrainingStdThroughMkl">
<TypeSignature Language="C#" Value="public sealed class ComputeLRTrainingStdThroughMkl : Microsoft.ML.Trainers.ComputeLogisticRegressionStandardDeviation" />
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit ComputeLRTrainingStdThroughMkl extends Microsoft.ML.Trainers.ComputeLogisticRegressionStandardDeviation" />
<TypeSignature Language="DocId" Value="T:Microsoft.ML.Trainers.ComputeLRTrainingStdThroughMkl" />
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class ComputeLRTrainingStdThroughMkl
Inherits ComputeLogisticRegressionStandardDeviation" />
<TypeSignature Language="F#" Value="type ComputeLRTrainingStdThroughMkl = class
 inherit ComputeLogisticRegressionStandardDeviation" />
<AssemblyInfo>
<AssemblyName>Microsoft.ML.Mkl.Components</AssemblyName>
<AssemblyVersion>1.0.0.0</AssemblyVersion>
</AssemblyInfo>
<Base>
<BaseTypeName>Microsoft.ML.Trainers.ComputeLogisticRegressionStandardDeviation</BaseTypeName>
</Base>
<Interfaces />
<Docs>
<summary>To be added.</summary>
<remarks>To be added.</remarks>
</Docs>
<Members>
<Member MemberName=".ctor">
<MemberSignature Language="C#" Value="public ComputeLRTrainingStdThroughMkl ();" />
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor() cil managed" />
<MemberSignature Language="DocId" Value="M:Microsoft.ML.Trainers.ComputeLRTrainingStdThroughMkl.#ctor" />
<MemberSignature Language="VB.NET" Value="Public Sub New ()" />
<MemberType>Constructor</MemberType>
<AssemblyInfo>
<AssemblyName>Microsoft.ML.Mkl.Components</AssemblyName>
<AssemblyVersion>1.0.0.0</AssemblyVersion>
</AssemblyInfo>
<Parameters />
<Docs>
<summary>To be added.</summary>
<remarks>To be added.</remarks>
</Docs>
</Member>
<Member MemberName="ComputeStandardDeviation">
<MemberSignature Language="C#" Value="public override Microsoft.ML.Data.VBuffer<float> ComputeStandardDeviation (double[] hessian, int[] weightIndices, int numSelectedParams, int currentWeightsCount, Microsoft.ML.Runtime.IChannel ch, float l2Weight);" />
<MemberSignature Language="ILAsm" Value=".method public hidebysig virtual instance valuetype Microsoft.ML.Data.VBuffer`1<float32> ComputeStandardDeviation(float64[] hessian, int32[] weightIndices, int32 numSelectedParams, int32 currentWeightsCount, class Microsoft.ML.Runtime.IChannel ch, float32 l2Weight) cil managed" />
<MemberSignature Language="DocId" Value="M:Microsoft.ML.Trainers.ComputeLRTrainingStdThroughMkl.ComputeStandardDeviation(System.Double[],System.Int32[],System.Int32,System.Int32,Microsoft.ML.Runtime.IChannel,System.Single)" />
<MemberSignature Language="VB.NET" Value="Public Overrides Function ComputeStandardDeviation (hessian As Double(), weightIndices As Integer(), numSelectedParams As Integer, currentWeightsCount As Integer, ch As IChannel, l2Weight As Single) As VBuffer(Of Single)" />
<MemberSignature Language="F#" Value="override this.ComputeStandardDeviation : double[] * int[] * int * int * Microsoft.ML.Runtime.IChannel * single -> Microsoft.ML.Data.VBuffer<single>" Usage="computeLRTrainingStdThroughMkl.ComputeStandardDeviation (hessian, weightIndices, numSelectedParams, currentWeightsCount, ch, l2Weight)" />
<MemberType>Method</MemberType>
<AssemblyInfo>
<AssemblyName>Microsoft.ML.Mkl.Components</AssemblyName>
<AssemblyVersion>1.0.0.0</AssemblyVersion>
</AssemblyInfo>
<ReturnValue>
<ReturnType>Microsoft.ML.Data.VBuffer<System.Single></ReturnType>
</ReturnValue>
<Parameters>
<Parameter Name="hessian" Type="System.Double[]" />
<Parameter Name="weightIndices" Type="System.Int32[]" />
<Parameter Name="numSelectedParams" Type="System.Int32" />
<Parameter Name="currentWeightsCount" Type="System.Int32" />
<Parameter Name="ch" Type="Microsoft.ML.Runtime.IChannel" />
<Parameter Name="l2Weight" Type="System.Single" />
</Parameters>
<Docs>
<param name="hessian" />
<param name="weightIndices" />
<param name="numSelectedParams" />
<param name="currentWeightsCount" />
<param name="ch">The <see cref="T:Microsoft.ML.Runtime.IChannel" /> used for messaging.</param>
<param name="l2Weight">The L2Weight used for training. (Supply the same one that got used during training.)</param>
<summary>
Computes the standart deviation matrix of each of the non-zero training weights, needed to calculate further the standart deviation,
p-value and z-Score.
</summary>
<returns>To be added.</returns>
<remarks>To be added.</remarks>
</Docs>
</Member>
</Members>
</Type>