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()
net5.0
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>
{
[DataMember]
public DataContainer Data { get; set; }
}
}
.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 net5.0 | |
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 | The property getter is supported on all platforms. The property setter is supported on all platforms. |
- Built-in API
- Package-provided API