1 type derived from DataPoint
Microsoft.ML.Tests (1)
OnnxConversionTest.cs (1)
1138private class TransformedDataPoint : DataPoint, IEquatable<TransformedDataPoint>
13 instantiations of DataPoint
Microsoft.ML.Tests (13)
OnnxConversionTest.cs (13)
417new DataPoint() { Features = new float[3] {0.01f, 0.02f, 0.03f} }, 418new DataPoint() { Features = new float[3] {0.04f, 0.05f, 0.06f} }, 419new DataPoint() { Features = new float[3] {0.07f, 0.08f, 0.09f} }, 420new DataPoint() { Features = new float[3] {0.10f, 0.11f, 0.12f} }, 421new DataPoint() { Features = new float[3] {0.13f, 0.14f, 0.15f} } 1156new DataPoint() { Features = new float[3] {1, 1, 0}, }, 1157new DataPoint() { Features = new float[3] {0, float.NaN, 1}, }, 1158new DataPoint() { Features = new float[3] {-1, float.NaN, float.PositiveInfinity}, }, 2096new DataPoint { Features = new float[3] {0.01f, 0.02f, 0.03f} }, 2097new DataPoint { Features = new float[3] {0.04f, 0.05f, 0.06f} }, 2098new DataPoint { Features = new float[3] {0.07f, 0.08f, 0.09f} }, 2099new DataPoint { Features = new float[3] {0.10f, 0.11f, 0.12f} }, 2100new DataPoint { Features = new float[3] {0.13f, 0.14f, 0.15f} }
12 references to DataPoint
Microsoft.ML.Tests (12)
OnnxConversionTest.cs (12)
415var samples = new List<DataPoint>() 425var pipeline = mlContext.Transforms.NormalizeLpNorm(nameof(DataPoint.Features), norm: norm, ensureZeroMean: ensureZeroMean); 1154var samples = new List<DataPoint>() 2094var vecSamples = new DataPoint[] 2114pipe = ML.Transforms.NormalizeMinMax(nameof(DataPoint.Features), fixZero: fixZero); 2119pipe = ML.Transforms.NormalizeMinMax(nameof(DataPoint.Features), fixZero: fixZero); 2124pipe = ML.Transforms.NormalizeMeanVariance(nameof(DataPoint.Features), fixZero: fixZero); 2129pipe = ML.Transforms.NormalizeMeanVariance(nameof(DataPoint.Features), fixZero: fixZero); 2134pipe = ML.Transforms.NormalizeLogMeanVariance(nameof(DataPoint.Features), fixZero: fixZero, useCdf: false); 2139pipe = ML.Transforms.NormalizeLogMeanVariance(nameof(DataPoint.Features), fixZero: fixZero, useCdf: false); 2144pipe = ML.Transforms.NormalizeRobustScaling(nameof(DataPoint.Features), centerData: fixZero); 2149pipe = ML.Transforms.NormalizeRobustScaling(nameof(DataPoint.Features), centerData: fixZero);