ComputeLRTrainingStdThroughMkl.ComputeStandardDeviation 方法

参考

定义

命名空间:: Microsoft.ML.Trainers

程序集:: Microsoft.ML.Mkl.Components.dll

包:: Microsoft.ML.Mkl.Components v3.0.1

包:: Microsoft.ML.Mkl.Components v1.0.0

包:: Microsoft.ML.Mkl.Components v1.1.0

包:: Microsoft.ML.Mkl.Components v1.2.0

包:: Microsoft.ML.Mkl.Components v1.3.1

包:: Microsoft.ML.Mkl.Components v1.4.0

包:: Microsoft.ML.Mkl.Components v1.5.5

包:: Microsoft.ML.Mkl.Components v1.6.0

包:: Microsoft.ML.Mkl.Components v1.7.0

包:: Microsoft.ML.Mkl.Components v2.0.0

重要

一些信息与预发行产品相关，相应产品在发行之前可能会进行重大修改。对于此处提供的信息，Microsoft 不作任何明示或暗示的担保。

计算每个非零训练权重（需要进一步计算非零训练权重、p 值和 z-Score）的自定偏差矩阵。

public override Microsoft.ML.Data.VBuffer<float> ComputeStandardDeviation (double[] hessian, int[] weightIndices, int numSelectedParams, int currentWeightsCount, Microsoft.ML.Runtime.IChannel ch, float l2Weight);

override this.ComputeStandardDeviation : double[] * int[] * int * int * Microsoft.ML.Runtime.IChannel * single -> Microsoft.ML.Data.VBuffer<single>

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)

参数

hessian: Double[]

weightIndices: Int32[]

numSelectedParams: Int32

currentWeightsCount: Int32

ch: IChannel

IChannel用于消息传递。

l2Weight: Single

用于训练的 L2Weight。 (提供在 training.) 中使用的相同

返回

VBuffer<Single>

适用于