public Vector logNormalize() { return delegate.logNormalize(); } 代码示例来源:origin: apache/mahout @Override public Vector logNormalize(double power) { return delegate.logNormalize(power); } 代码示例来源:origin: apache/mahout @Override public Vector logNormalize() { return delegate.logNormalize()...
publicVectorlogNormalize(doublepower){ returndelegate.logNormalize(power); } 代码示例来源:origin: apache/mahout @Override publicVectorlogNormalize(){ returndelegate.logNormalize(); } 代码示例来源:origin: apache/mahout @Override publicVectorlogNormalize(doublepower){ returndelegate.logNormalize(power); } ...
NormalizeLogMeanVariance(TransformsCatalog, InputOutputColumnPair[], Int64, Boolean) 创建一个 NormalizingEstimator,它根据数据的对数的计算平均值和方差进行规范化。 NormalizeLogMeanVariance(TransformsCatalog, InputOutputColumnPair[], Boolean, Int64, Boolean) 创建一个 NormalizingEstimator,它根据数据的对数的计...
Normalize log probabilities.
Proposed commit message Ensure that log.level has been normalized to lowercase, both for consistency and for the conditionals for the event.severity processors. Checklist I have reviewed tips f...
well log digitizing, well log analysis, well log interpretation, well log scanning, well log scan, well log evaluation, logdigi improved Schlumberger Petrophysics analysis software , NeuraLog, well logging digitizing, 2D & 3D Mapping digitizing, Struct
JavalogNormalize方法属于edu.stanford.nlp.math.ArrayMath类。 使用说明:使此数组中的值总和为 1.0。是否到位。如果总数为 0.0,则抛出 RuntimeException。如果总数为 Double.NEGATIVE_INFINITY,则它将数组替换为标准化均匀分布。 CDM:最后一点很奇怪!我们真的想要吗?
NormalizeLogMeanVariance(TransformsCatalog, InputOutputColumnPair[], Int64, Boolean) Source: NormalizerCatalog.cs 创建一个NormalizingEstimator,它根据数据的对数的计算平均值和方差进行规范化。 C# publicstaticMicrosoft.ML.Transforms.NormalizingEstimatorNormalizeLogMeanVariance(thisMicrosoft.ML.TransformsCatalog catalog...
NormalizeLogMeanVariance(TransformsCatalog, String, String, Int64, Boolean) 建立NormalizingEstimator ,其會根據資料的對數計算平均數和變異數正規化。 C# 複製 public static Microsoft.ML.Transforms.NormalizingEstimator NormalizeLogMeanVariance (this Microsoft.ML.TransformsCatalog catalog, string outputColumnName...