ComputeLRTrainingStdThroughMkl.ComputeStandardDeviation 方法
定義
重要
部分資訊涉及發行前產品，在發行之前可能會有大幅修改。 Microsoft 對此處提供的資訊，不做任何明確或隱含的瑕疵擔保。
計算每個非零定型權數的獨立藝術師偏差矩陣，以進一步計算獨立偏差、p 值和 z-Score。
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
用於訓練的 L2Weight。 (提供在 training.) 期間使用的相同專案