Class WeightFunctions<TSequence, TElement, TElementDistribution, TSequenceManipulator, TAutomaton>.DictionaryWeightFunction<TThis>
An implementation of WeightFunctions<TSequence, TElement, TElementDistribution, TSequenceManipulator, TAutomaton>.IWeightFunction<TThis> that stores the entire support of the weight function along with the associated weights in a dictionary.
Inheritance
Implements
Inherited Members
Namespace: Microsoft.ML.Probabilistic.Distributions.Automata
Assembly: Microsoft.ML.Probabilistic.dll
Syntax
[Serializable]
[DataContract]
[Quality(QualityBand.Experimental)]
public class DictionaryWeightFunction<TThis> : WeightFunctions<TSequence, TElement, TElementDistribution, TSequenceManipulator, TAutomaton>.IWeightFunction<TThis>, WeightFunctions<TSequence, TElement, TElementDistribution, TSequenceManipulator, TAutomaton>.IWeightFunction, IEquatable<TThis> where TThis : WeightFunctions<TSequence, TElement, TElementDistribution, TSequenceManipulator, TAutomaton>.DictionaryWeightFunction<TThis>, new()
Type Parameters
Name | Description |
---|---|
TThis | The type of a concrete dictionary weight function class. |
Constructors
DictionaryWeightFunction()
Declaration
public DictionaryWeightFunction()
DictionaryWeightFunction(IReadOnlyDictionary<TSequence, Weight>)
Declaration
protected DictionaryWeightFunction(IReadOnlyDictionary<TSequence, Weight> dictionary)
Parameters
Type | Name | Description |
---|---|---|
IReadOnlyDictionary<TSequence, Weight> | dictionary |
Fields
dictionary
Declaration
[DataMember]
protected IReadOnlyDictionary<TSequence, Weight> dictionary
Field Value
Type | Description |
---|---|
IReadOnlyDictionary<TSequence, Weight> |
Properties
Dictionary
A dictionary containing the entire support of the current weight function and the corresponding weights.
Declaration
public IReadOnlyDictionary<TSequence, Weight> Dictionary { get; }
Property Value
Type | Description |
---|---|
IReadOnlyDictionary<TSequence, Weight> |
ElementDistributionFactory
Declaration
protected static TElementDistribution ElementDistributionFactory { get; }
Property Value
Type | Description |
---|---|
TElementDistribution |
IsPointMass
Gets a value indicating whether the current weight function assigns a non-zero weight to exactly one point.
Declaration
public bool IsPointMass { get; }
Property Value
Type | Description |
---|---|
Boolean |
Point
Gets the only point to which the current function assigns a non-zero weight.
Declaration
public TSequence Point { get; }
Property Value
Type | Description |
---|---|
TSequence |
Exceptions
Type | Condition |
---|---|
InvalidOperationException | Thrown when an attempt is made to get the Point of a non-pointmass weight function. |
SequenceManipulator
Declaration
protected static TSequenceManipulator SequenceManipulator { get; }
Property Value
Type | Description |
---|---|
TSequenceManipulator |
UsesAutomatonRepresentation
Gets a value indicating whether the current weight function is represented as an automaton internally.
Declaration
public bool UsesAutomatonRepresentation { get; }
Property Value
Type | Description |
---|---|
Boolean |
UsesGroups
Checks if the weight function uses groups.
Declaration
public bool UsesGroups { get; }
Property Value
Type | Description |
---|---|
Boolean | true if the weight function uses groups, false otherwise. |
Methods
Append(TSequence, Int32)
Creates a weight function f'(st) = f(s)
, where f(s)
is the current weight function
and t
is the given sequence.
Declaration
public TThis Append(TSequence sequence, int group = 0)
Parameters
Type | Name | Description |
---|---|---|
TSequence | sequence | The sequence. |
Int32 | group | The group. |
Returns
Type | Description |
---|---|
TThis | The created weight function. |
Append(TThis, Int32)
Creates a weight function f'(s) = sum_{tu=s} f(t)g(u)
, where f(t)
is the current weight function
and g(u)
is the given weight function.
Declaration
public TThis Append(TThis weightFunction, int group = 0)
Parameters
Type | Name | Description |
---|---|---|
TThis | weightFunction | The weight function to append. |
Int32 | group | The group. |
Returns
Type | Description |
---|---|
TThis | The created weight function. |
AsAutomaton()
Returns an automaton representation of the current weight function. If the weight function is normalized, the resulting automaton is stochastic, i.e. the sum of weights of all the outgoing transitions and the ending weight is 1 for every node.
Declaration
public virtual TAutomaton AsAutomaton()
Returns
Type | Description |
---|---|
TAutomaton |
EnumeratePaths()
Declaration
public IEnumerable<Tuple<List<TElementDistribution>, double>> EnumeratePaths()
Returns
Type | Description |
---|---|
IEnumerable<Tuple<List<TElementDistribution>, Double>> |
EnumerateSupport(Int32)
Enumerates support of this weight function when possible.
Declaration
public IEnumerable<TSequence> EnumerateSupport(int maxCount = 1000000)
Parameters
Type | Name | Description |
---|---|---|
Int32 | maxCount | The maximum support enumeration count. |
Returns
Type | Description |
---|---|
IEnumerable<TSequence> | The sequences in the support of this weight function |
Exceptions
Type | Condition |
---|---|
AutomatonEnumerationCountException | Thrown if enumeration is too large. |
Equals(TThis)
Declaration
public bool Equals(TThis other)
Parameters
Type | Name | Description |
---|---|---|
TThis | other |
Returns
Type | Description |
---|---|
Boolean |
Equals(Object)
Declaration
public override bool Equals(object obj)
Parameters
Type | Name | Description |
---|---|---|
Object | obj |
Returns
Type | Description |
---|---|
Boolean |
Overrides
FillDictionary(IDictionary<TSequence, Weight>, IEnumerable<KeyValuePair<TSequence, Weight>>)
Fills the supplied empty sequence to weight dictionary with values from the given collection. If the supplied collection contains multiple entries for the same sequence, the weights for that sequence are summed.
Declaration
protected static void FillDictionary(IDictionary<TSequence, Weight> dictionaryToFill, IEnumerable<KeyValuePair<TSequence, Weight>> sequenceWeightPairs)
Parameters
Type | Name | Description |
---|---|---|
IDictionary<TSequence, Weight> | dictionaryToFill | The target empty dictionary. |
IEnumerable<KeyValuePair<TSequence, Weight>> | sequenceWeightPairs | The collection of pairs of a sequence and the weight on that sequence. |
FromDistinctValues(IEnumerable<KeyValuePair<TSequence, Double>>)
Creates a sequence to weight dictionary using the supplied sequenceWeightPairs
.
If the supplied collection is expected to not contain multiple entries for the same sequence.
Declaration
public static TThis FromDistinctValues(IEnumerable<KeyValuePair<TSequence, double>> sequenceWeightPairs)
Parameters
Type | Name | Description |
---|---|---|
IEnumerable<KeyValuePair<TSequence, Double>> | sequenceWeightPairs | The collection of pairs of a sequence and the weight on that sequence. |
Returns
Type | Description |
---|---|
TThis |
FromDistinctWeights(IEnumerable<KeyValuePair<TSequence, Weight>>)
Creates a sequence to weight dictionary using the supplied sequenceWeightPairs
.
If the supplied collection is expected to not contain multiple entries for the same sequence.
Declaration
[Construction(new string[]{"Dictionary"})]
public static TThis FromDistinctWeights(IEnumerable<KeyValuePair<TSequence, Weight>> sequenceWeightPairs)
Parameters
Type | Name | Description |
---|---|---|
IEnumerable<KeyValuePair<TSequence, Weight>> | sequenceWeightPairs | The collection of pairs of a sequence and the weight on that sequence. |
Returns
Type | Description |
---|---|
TThis |
FromPoint(TSequence)
Creates a sequence to weight dictionary with point
being its only key which corresponds to a unit weight.
Declaration
public static TThis FromPoint(TSequence point)
Parameters
Type | Name | Description |
---|---|---|
TSequence | point | The only sequence contained in the dictionary. |
Returns
Type | Description |
---|---|
TThis |
FromValues(IEnumerable<KeyValuePair<TSequence, Double>>)
Creates a sequence to weight dictionary using the supplied sequenceWeightPairs
.
If the supplied collection contains multiple entries for the same sequence, the weights for that sequence are summed.
Declaration
public static TThis FromValues(IEnumerable<KeyValuePair<TSequence, double>> sequenceWeightPairs)
Parameters
Type | Name | Description |
---|---|---|
IEnumerable<KeyValuePair<TSequence, Double>> | sequenceWeightPairs | The collection of pairs of a sequence and the weight on that sequence. |
Returns
Type | Description |
---|---|
TThis |
FromWeights(IEnumerable<KeyValuePair<TSequence, Weight>>)
Creates a sequence to weight dictionary using the supplied sequenceWeightPairs
.
If the supplied collection contains multiple entries for the same sequence, the weights for that sequence are summed.
Declaration
public static TThis FromWeights(IEnumerable<KeyValuePair<TSequence, Weight>> sequenceWeightPairs)
Parameters
Type | Name | Description |
---|---|---|
IEnumerable<KeyValuePair<TSequence, Weight>> | sequenceWeightPairs | The collection of pairs of a sequence and the weight on that sequence. |
Returns
Type | Description |
---|---|
TThis |
GetGroups()
If the current weight function uses groups, returns a dictionary [group index] -> group. Otherwise, returns an empty dictionary.
Declaration
public Dictionary<int, TThis> GetGroups()
Returns
Type | Description |
---|---|
Dictionary<Int32, TThis> | A possibly empty dictionary [group index] -> group. |
GetHashCode()
Declaration
public override int GetHashCode()
Returns
Type | Description |
---|---|
Int32 |
Overrides
GetLogNormalizer()
Computes the logarithm of the normalizer (sum of values of the weight function on all sequences).
Declaration
public double GetLogNormalizer()
Returns
Type | Description |
---|---|
Double | The logarithm of the normalizer. |
Remarks
Returns PositiveInfinity if the sum diverges.
GetLogNormalizerOfProduct(TThis)
Computes the logarithm of the normalizer (sum of values of the weight function on all sequences) of the product of the current and the given weight functions.
Declaration
protected virtual double GetLogNormalizerOfProduct(TThis weightFunction)
Parameters
Type | Name | Description |
---|---|---|
TThis | weightFunction | The given weight function. |
Returns
Type | Description |
---|---|
Double | The logarithm of the normalizer. |
GetLogNormalizerOfSquare()
Computes the logarithm of the normalizer (sum of values of the weight function on all sequences) of the square of the current weight function.
Declaration
protected double GetLogNormalizerOfSquare()
Returns
Type | Description |
---|---|
Double | The logarithm of the normalizer. |
GetLogSimilarity(TThis)
Gets a value indicating how close this weight function is to a given one in terms of weights they assign to sequences.
Declaration
protected double GetLogSimilarity(TThis that)
Parameters
Type | Name | Description |
---|---|---|
TThis | that | The other weight function. |
Returns
Type | Description |
---|---|
Double | The logarithm of a non-negative value, which is close to zero if the two automata assign similar values to all sequences. |
GetLogValue(TSequence)
Computes the logarithm of the value of the weight function on a given sequence.
Declaration
public double GetLogValue(TSequence sequence)
Parameters
Type | Name | Description |
---|---|---|
TSequence | sequence | The sequence to compute the value on. |
Returns
Type | Description |
---|---|
Double | The logarithm of the value. |
HasGroup(Int32)
Determines whether this weight function has the specified group (if applicable).
Declaration
public bool HasGroup(int group)
Parameters
Type | Name | Description |
---|---|---|
Int32 | group | The specified group. |
Returns
Type | Description |
---|---|
Boolean | True if it the weight function has this group, false otherwise. |
IsZero()
Checks whether the current weight function is zero on all sequences.
Declaration
public bool IsZero()
Returns
Type | Description |
---|---|
Boolean | true if the current weight function is zero on all sequences, false otherwise. |
MaxDiff(TThis)
Gets a value indicating how close this weight function is to a given one in terms of weights they assign to sequences.
Declaration
public double MaxDiff(TThis that)
Parameters
Type | Name | Description |
---|---|---|
TThis | that | The other weight function. |
Returns
Type | Description |
---|---|
Double | A non-negative value, which is close to zero if the two weight functions assign similar values to all sequences. |
NormalizeStructure()
Returns the weight function converted to the normalized form e.g. using special case structures for point masses and functions with small support.
Declaration
public TThis NormalizeStructure()
Returns
Type | Description |
---|---|
TThis |
Product(TThis)
Computes the product of the current weight function and a given one.
Declaration
public virtual TThis Product(TThis weightFunction)
Parameters
Type | Name | Description |
---|---|---|
TThis | weightFunction | The weight function to compute the product with. |
Returns
Type | Description |
---|---|
TThis | The computed product. |
Repeat(Int32, Int32, Int32)
Creates a weight function g(s) = sum_{k=Kmin}^{Kmax} sum_{t1 t2 ... tk = s} f(t1)f(t2)...f(tk)
,
where f(t)
is the current weight function, and Kmin
and Kmax
are the minimum
and the maximum number of factors in a sum term.
Declaration
public TThis Repeat(int minTimes, int maxTimes, int expectedResultSupportSize)
Parameters
Type | Name | Description |
---|---|---|
Int32 | minTimes | The minimum number of factors in a sum term. Defaults to 1. |
Int32 | maxTimes | The maximum number of factors in a sum term. |
Int32 | expectedResultSupportSize | Predicted size of the support of the resulting weight function. Does not have to be correct, but when it is, the performance is slightly improved. |
Returns
Type | Description |
---|---|
TThis | The created weight function. |
Repeat(Int32, Nullable<Int32>)
Creates a weight function g(s) = sum_{k=Kmin}^{Kmax} sum_{t1 t2 ... tk = s} f(t1)f(t2)...f(tk)
,
where f(t)
is the current weight function, and Kmin
and Kmax
are the minimum
and the maximum number of factors in a sum term.
Declaration
public TThis Repeat(int minTimes = 1, int? maxTimes = null)
Parameters
Type | Name | Description |
---|---|---|
Int32 | minTimes | The minimum number of factors in a sum term. Defaults to 1. |
Nullable<Int32> | maxTimes | An optional maximum number of factors in a sum term. |
Returns
Type | Description |
---|---|
TThis | The created weight function. |
ScaleLog(Double)
Scales the weight function and returns the result.
Declaration
public TThis ScaleLog(double logScale)
Parameters
Type | Name | Description |
---|---|---|
Double | logScale | The logarithm of the scale. |
Returns
Type | Description |
---|---|
TThis | The scaled weight function. |
SetDistinctWeights(IEnumerable<KeyValuePair<TSequence, Weight>>)
Replaces the internal sequence to weight dictionary with a new one using the supplied sequenceWeightPairs
.
If the supplied collection is expected to not contain multiple entries for the same sequence.
Declaration
protected virtual void SetDistinctWeights(IEnumerable<KeyValuePair<TSequence, Weight>> sequenceWeightPairs)
Parameters
Type | Name | Description |
---|---|---|
IEnumerable<KeyValuePair<TSequence, Weight>> | sequenceWeightPairs | The collection of pairs of a sequence and the weight on that sequence. |
Remarks
Should only ever be called in factory methods.
SetWeights(IEnumerable<KeyValuePair<TSequence, Weight>>)
Replaces the internal sequence to weight dictionary with a new one using the supplied sequenceWeightPairs
.
If the supplied collection contains multiple entries for the same sequence, the weights for that sequence are summed.
Declaration
protected virtual void SetWeights(IEnumerable<KeyValuePair<TSequence, Weight>> sequenceWeightPairs)
Parameters
Type | Name | Description |
---|---|---|
IEnumerable<KeyValuePair<TSequence, Weight>> | sequenceWeightPairs | The collection of pairs of a sequence and the weight on that sequence. |
Remarks
Should only ever be called in factory methods.
Sum(TThis)
Computes the sum of the current weight function and a given weight function.
Declaration
public TThis Sum(TThis weightFunction)
Parameters
Type | Name | Description |
---|---|---|
TThis | weightFunction | The weight function to compute the sum with. |
Returns
Type | Description |
---|---|
TThis | The computed sum. |
Sum(Double, TThis, Double)
Computes the weighted sum of the current weight function and a given weight function.
Declaration
public TThis Sum(double weight1, TThis weightFunction, double weight2)
Parameters
Type | Name | Description |
---|---|---|
Double | weight1 | The weight of the current weight function. |
TThis | weightFunction | The weight function to compute the sum with. |
Double | weight2 | The weight of the |
Returns
Type | Description |
---|---|
TThis |
SumLog(Double, TThis, Double)
Computes the weighted sum of the current weight function and a given weight function.
Declaration
public TThis SumLog(double logWeight1, TThis weightFunction, double logWeight2)
Parameters
Type | Name | Description |
---|---|---|
Double | logWeight1 | The logarithm of the weight of the current weight function. |
TThis | weightFunction | The weight function to compute the sum with. |
Double | logWeight2 | The logarithm of the weight of the |
Returns
Type | Description |
---|---|
TThis |
ToString()
Declaration
public override string ToString()
Returns
Type | Description |
---|---|
String |
Overrides
ToString(Action<TElementDistribution, StringBuilder>)
Declaration
public string ToString(Action<TElementDistribution, StringBuilder> appendElement)
Parameters
Type | Name | Description |
---|---|---|
Action<TElementDistribution, StringBuilder> | appendElement |
Returns
Type | Description |
---|---|
String |
TryEnumerateSupport(Int32, out IEnumerable<TSequence>)
Tries to enumerate support of this weight function.
Declaration
public bool TryEnumerateSupport(int maxCount, out IEnumerable<TSequence> result)
Parameters
Type | Name | Description |
---|---|---|
Int32 | maxCount | The maximum support enumeration count. |
IEnumerable<TSequence> | result | The sequences in the support of this weight function |
Returns
Type | Description |
---|---|
Boolean | True if successful, false otherwise |
TryNormalizeValues(out TThis, out Double)
Attempts to normalize the weight function so that sum of its values on all possible sequences equals to one (if it is possible) and returns the result in an out parameter. If successful, calls to AsAutomaton() methods of the resulting function produce a stochastic automaton, i.e. an automaton, in which the sum of weights of all the outgoing transitions and the ending weight is 1 for every node.
Declaration
public virtual bool TryNormalizeValues(out TThis normalizedFunction, out double logNormalizer)
Parameters
Type | Name | Description |
---|---|---|
TThis | normalizedFunction | Result of the normaliztion attempt. |
Double | logNormalizer | When the function returns, contains the logarithm of the normalizer. |
Returns
Type | Description |
---|---|
Boolean | true if the weight function was successfully normalized, false otherwise. |