NormalizationCatalog.NormalizeLpNorm 方法 Microsoft Learn Challenge Nov 23, 2024 – Jan 10, 2025 立即注册 消除警报 Learn 登录 此主题的部分內容可能由机器或 AI 翻译。 消除警报 版本 ML.NET 3.0.0 ITransformer KernelExpansionCatalog KMeansClusteringExtensions...
ensureUnitStandardDeviation Boolean 如果true 為,則產生的向量標準差會是一個。否則,產生的向量 L2-norm 會是其中一個。scale Single 依此值調整功能。傳回GlobalContrastNormalizingEstimator 範例C# 複製 using System; using System.Collections.Generic; ...
Thenormalize()function scales vectors individually to a unit norm so that the vector has a length of one. The default norm fornormalize()is L2, also known as the Euclidean norm. The L2 norm formula is the square root of the sum of the squares of each value. Although using thenormalize(...
mlContext.Data.LoadFromEnumerable(samples);varapproximation = mlContext.Transforms.NormalizeLpNorm("Features", norm: LpNormNormalizingEstimatorBase.NormFunction.L1, ensureZeroMean:true);// Now we can transform the data and look at the output to confirm the// behavior of the estimator. This ...
mlContext.Data.LoadFromEnumerable(samples);varapproximation = mlContext.Transforms.NormalizeLpNorm("Features", norm: LpNormNormalizingEstimatorBase.NormFunction.L1, ensureZeroMean:true);// Now we can transform the data and look at the output to confirm the// behavior of the estimator. This ...
NormalizationCatalog.NormalizeLpNorm 方法 Microsoft Learn Challenge Nov 23, 2024 – Jan 10, 2025 立即注册 消除警报 Learn 登录 此主题的部分內容可能由机器或 AI 翻译。 消除警报 版本 ML.NET 3.0.0 IDataLoaderEstimator<TSource,TLoader> IDataView