1 write to StandardDeviation
Microsoft.ML.Data (1)
Transforms\Normalizer.cs (1)
929
StandardDeviation
= stddev;
18 references to StandardDeviation
Microsoft.ML.Data (1)
Transforms\Normalizer.cs (1)
895
/// the <see cref="CdfNormalizerModelParameters{TData}.
StandardDeviation
"/> as observed during fitting.
Microsoft.ML.Samples (3)
Dynamic\Transforms\NormalizeLogMeanVariance.cs (1)
78
.Mean[1] + ") / (" + transformParams.
StandardDeviation
[1] +
Dynamic\Transforms\NormalizeLogMeanVarianceFixZero.cs (1)
62
Console.WriteLine($"y = 0.5* (1 + ERF((Math.Log(x)- {transformParams.Mean[1]}) / ({transformParams.
StandardDeviation
[1]} * sqrt(2)))");
Dynamic\Transforms\NormalizeMeanVariance.cs (1)
79
") / (" + transformParams.
StandardDeviation
[1] + " * sqrt(2)))");
Microsoft.ML.Tests (14)
Transformers\NormalizerTests.cs (14)
198
Assert.Equal(0.140807763f, floatCdfLogMeanData.
StandardDeviation
);
203
Assert.Equal(4, floatCdfLogMeanDataVec.
StandardDeviation
.Length);
208
Assert.Equal(0.14080776721611848, doubleCdfLogMeanData.
StandardDeviation
);
213
Assert.Equal(4, doubleCdfLogMeanDataVec.
StandardDeviation
.Length);
332
Assert.Equal(0.140807763f, floatCdfLogMeanModel.
StandardDeviation
);
339
Assert.Equal(4, floatCdfLogMeanModelVector.
StandardDeviation
.Length);
340
Assert.True(0.140807763f == floatCdfLogMeanModelVector.
StandardDeviation
[0]);
341
Assert.True(0.9843767f == floatCdfLogMeanModelVector.
StandardDeviation
[3]);
346
Assert.Equal(0.14080776721611871, doubleCdfLogMeanModel.
StandardDeviation
);
353
Assert.Equal(4, doubleCdfLogMeanModelVector.
StandardDeviation
.Length);
354
Assert.True(0.14080776721611871 == doubleCdfLogMeanModelVector.
StandardDeviation
[0]);
355
Assert.True(0.98437679839698122 == doubleCdfLogMeanModelVector.
StandardDeviation
[3]);
924
Assert.NotEqual(0f, transformParams.
StandardDeviation
);
967
Assert.NotEqual(0f, transformParams.
StandardDeviation
[i]);