Metrics
LinearDiscountFunc
LogarithmicDiscountFunc
AbsoluteError(Boolean, Boolean)
AbsoluteError(Double, Double)
AbsoluteError(Double, Int32)
AbsoluteError(Int32, Int32)
AreaUnderRocCurve<TInstance>(IEnumerable<TInstance>, IEnumerable<KeyValuePair<TInstance, Double>>)
CosineSimilarity(Vector, Vector)
Dcg(IEnumerable<Double>)
Dcg(IEnumerable<Double>, Func<Int32, Double>)
GradedAveragePrecision(IEnumerable<Double>)
LinearDcg(IEnumerable<Double>)
LinearNdcg(IEnumerable<Double>, IEnumerable<Double>)
Ndcg(IEnumerable<Double>, IEnumerable<Double>)
Ndcg(IEnumerable<Double>, IEnumerable<Double>, Func<Int32, Double>)
NegativeLogProbability(Boolean, Bernoulli)
NegativeLogProbability(Int32, Discrete)
NegativeLogProbability<TLabel>(TLabel, IDictionary<TLabel, Double>)
NormalizedEuclideanSimilarity(Vector, Vector)
NormalizedManhattanSimilarity(Vector, Vector)
PearsonCorrelation(Vector, Vector)
PrecisionRecallCurve<TInstance>(IEnumerable<TInstance>, IEnumerable<KeyValuePair<TInstance, Double>>)
ReceiverOperatingCharacteristicCurve<TInstance>(IEnumerable<TInstance>, IEnumerable<KeyValuePair<TInstance, Double>>)
SquaredError(Boolean, Boolean)
SquaredError(Double, Double)
SquaredError(Double, Int32)
SquaredError(Int32, Int32)
ZeroOneError(Int32, Int32)
ZeroOneError<TLabel>(TLabel, TLabel)
netcoreapp2.0
namespace Microsoft.ML.Probabilistic.Learners
{
public static class Metrics
{
public static double AbsoluteError(double groundTruth, int prediction);
}
}
.NET | 5.06.07.08.09.010.0 |
---|---|
.NET Core | 2.02.12.23.03.1 |
.NET Framework | 4.6.14.6.24.74.7.14.7.24.84.8.1 |
.NET Standard | 2.02.1 |
Information specific to netcoreapp2.0 | |
Assembly | Microsoft.ML.Probabilistic.Learners , Version=0.4.2403.801, PublicKeyToken=e4813102a62778da |
Referencing | Your project needs a package reference to |
Package | Microsoft.ML.Probabilistic.Learners (0.4.2403.801) netstandard2.0 |
Platform Restrictions | This framework does not have platform annotations. |
- Built-in API
- Package-provided API