ComputeLRTrainingStdThroughMkl.ComputeStandardDeviation 方法
定義
重要
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計算每個非零訓練權重的標準偏差矩陣，進一步計算標準偏差、p 值及 z 分數。
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)參數
- hessian
- Double[]
- weightIndices
- Int32[]
- numSelectedParams
- Int32
- currentWeightsCount
- Int32
- l2Weight
- Single
訓練用的L2Weight。 （提供訓練時用過的那個。）