Automaton<TSequence, TElement, TElementDistribution, TSequenceManipulator, TThis>
Builder
Condensation
DataContainer
Determinization
EpsilonClosure
Simplification
State
StateCollection
StateData
StronglyConnectedComponent
Transition
UnlimitedStatesComputation
Automaton()
Data
GlobalMaxStateCount
IsEpsilonFree
IsPointMass
LogValueOverride
MaxDeadStateCount
MaxStateCount
MaxStateCountBeforeSimplification
Point
PruneStatesWithLogEndWeightLessThan
SequenceManipulator
Start
States
UsesAutomatonRepresentation
UsesGroups
Append(TSequence, Int32)
Append(TThis, Int32)
ApplyFunction<TDstSequence, TDstElement, TDstElementDistribution, TDstSequenceManipulator, TDstAutomaton>(Func<Option<TElementDistribution>, Weight, Int32, (Option<TDstElementDistribution>, Weight)>)
AsAutomaton()
Clone()
ComputeCondensation(State)
ComputeCondensation(State, Func<Transition, Boolean>, Boolean)
Concatenate(TThis[])
Concatenate(IEnumerable<TThis>)
Constant(Double)
Constant(Double, TElementDistribution)
ConstantLog(Double)
ConstantLog(Double, TElementDistribution)
ConstantOn(Double, TSequence)
ConstantOn(Double, TSequence[])
ConstantOn(Double, IEnumerable<TSequence>)
ConstantOnElement(Double, TElement)
ConstantOnElement(Double, TElementDistribution)
ConstantOnElementLog(Double, TElement)
ConstantOnElementLog(Double, TElementDistribution)
ConstantOnLog(Double, TSequence)
ConstantOnLog(Double, TSequence[])
ConstantOnLog(Double, IEnumerable<TSequence>)
ConstantOnSupport(Double)
ConstantOnSupportLog(Double)
Empty(Double)
EnumeratePaths()
EnumerateSupport(Int32)
Equals(Object)
Equals(TThis)
FromData(DataContainer)
FromLogValues(IEnumerable<KeyValuePair<TSequence, Double>>)
FromValues(IEnumerable<KeyValuePair<TSequence, Double>>)
GetConverger(TThis, Double)
GetConverger(TThis[], Double)
GetEpsilonClosure()
GetGroups()
GetHashCode()
GetLogNormalizer()
GetLogValue(TSequence)
GetOutgoingTransitionsForDeterminization(WeightedStateSet)
GetValue(TSequence)
HasGroup(Int32)
IsCanonicConstant()
IsCanonicZero()
IsDeterministic()
IsZero()
MaxDiff(TThis)
NormalizeStructure()
NormalizeValues()
Product(TThis)
Product(TThis[])
Product(TThis, Boolean)
Product(IEnumerable<TThis>)
Read(Func<Double>, Func<Int32>, Func<TElementDistribution>)
RemoveDeadStates()
Repeat(Int32, Int32?)
Repeat(TThis, Vector)
Repeat(TThis, Int32, Int32?)
Reverse()
Scale(Double)
ScaleLog(Double)
Simplify(TThis)
Sum(TThis)
Sum(TThis[])
Sum(Double, TThis, Double)
Sum(IEnumerable<TThis>)
SumLog(Double, TThis, Double)
ToString()
ToString(IAutomatonFormat)
ToString(Action<TElementDistribution, StringBuilder>)
TryComputePoint()
TryDeterminize()
TryDeterminize(TThis)
TryEnumerateSupport(Int32, IEnumerable<TSequence>)
TryEnumerateSupport(Int32, IEnumerable<TSequence>, Int32, Boolean)
TryGetConstantOnSupportLog(Double, TThis)
TryNormalizeValues(TThis)
TryNormalizeValues(TThis, Double)
WeightedSum(Double, TThis, Double, TThis)
WeightedSumLog(Double, TThis, Double, TThis)
WithData(DataContainer)
WithGroup(Int32)
WithGroupsClear()
WithLogValueOverride(Double?)
WithPruneStatesWithLogEndWeightLessThan(Double?)
Write(Action<Double>, Action<Int32>, Action<TElementDistribution>)
Zero()
net6.0-windows
namespace Microsoft.ML.Probabilistic.Distributions.Automata
{
[DataContract]
[Quality(QualityBand.Experimental)]
public abstract class Automaton<TSequence, TElement, TElementDistribution, TSequenceManipulator, TThis> : IWeightFunction, IWeightFunction<TThis>, IEquatable<TThis>
where TSequence, class, IEnumerable<TElement>
where TElementDistribution, new(), CanComputeProduct<TElementDistribution>, CanCreatePartialUniform<TElementDistribution>, CanGetLogAverageOf<TElementDistribution>, IImmutableDistribution<TElement, TElementDistribution>, SummableExactly<TElementDistribution>
where TSequenceManipulator, new(), ISequenceManipulator<TSequence, TElement>
where TThis, new(), Automaton<TSequence, TElement, TElementDistribution, TSequenceManipulator, TThis>
{
public static TThis Repeat(TThis automaton, Vector repetitionNumberWeights);
}
}
.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 net6.0 | |
Assembly | Microsoft.ML.Probabilistic , Version=0.4.2403.801, PublicKeyToken=e4813102a62778da |
Referencing | Your project needs a package reference to |
Package | Microsoft.ML.Probabilistic (0.4.2403.801) netstandard2.0 |
Platform Restrictions | This API is supported on all platforms. |
- Built-in API
- Package-provided API