Exemple #1
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        public double Compute(NetworkVertex networkVertex, double[] newValue, double[] oldValue = null)
        {
            var totalArea = 0.0;

            networkVertex.States.ForEach((state, i) => { totalArea += (state.SafeMax - state.SafeMin) * newValue[i]; });

            var neededArea = totalArea * this.percentile;

            var currentArea = 0.0;

            var k = 0;

            foreach (var state in networkVertex.States)
            {
                var thisArea = (state.SafeMax - state.SafeMin) * newValue[k];

                if (currentArea + thisArea > neededArea)
                {
                    return(state.SafeMin + (neededArea - currentArea) / newValue[k]);
                }

                currentArea += thisArea;
                k++;
            }

            return(networkVertex.States.Last().SafeMax);
        }
Exemple #2
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        public double[,] GetBeliefStatistic(NetworkVertex networkVertex, IVertexValueComputer valueComputer, IEnumerable <string> sectionIds)
        {
            foreach (var sectionId in (IEnumerable <string>) this.sectionEvidences.Keys)
            {
                Console.WriteLine(sectionId);
            }

            return(null);
        }
Exemple #3
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        private string FormPotentialString(NetworkVertex networkVertex, double[,] table, string[] parentNodeKeys, int row = 0, int col = 0, int level = 0)
        {
            var potentialString = "";

            parentNodeKeys = parentNodeKeys ?? this.GetParentIds(networkVertex.Key);

            if (!parentNodeKeys.Any())
            {
                potentialString += "(";

                foreach (var state in networkVertex.States)
                {
                    potentialString += table[row++, col];

                    if (state != networkVertex.States.Last())
                    {
                        potentialString += " ";
                    }
                }

                potentialString += ")";
            }

            else
            {
                var currentNodeKey    = parentNodeKeys.First();
                var currentNodeStates = this.Vertices[currentNodeKey].States;
                var nCols             = parentNodeKeys.Except(currentNodeKey).Aggregate(1, (current, parentNodeKey) => current * this.Vertices[parentNodeKey].States.Count);

                potentialString += "(";

                foreach (var state in currentNodeStates)
                {
                    potentialString += this.FormPotentialString(networkVertex, table, parentNodeKeys.Except(currentNodeKey).ToArray(), row, col, level + 1);

                    col += nCols;

                    if (state != currentNodeStates.Last())
                    {
                        potentialString += "\n\t\t    " + String.Concat(Enumerable.Repeat(" ", level));
                    }
                }

                potentialString += ")";
            }

            return(potentialString);
        }
Exemple #4
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        public double[,] GetBeliefs(NetworkVertex networkVertex, string sectionId, IEnumerable <int> years)
        {
            var sectionBelief = this.GetBelief(sectionId);

            var nRows = networkVertex.States.Count;
            var nCols = years.Count();

            var beliefs = new double[nRows, nCols];

            for (var col = 0; col < nCols; col++)
            {
                for (var row = 0; row < nRows; row++)
                {
                    beliefs[row, col] = sectionBelief[years.ElementAt(col)][networkVertex.Key][row];
                }
            }

            return(beliefs);
        }
Exemple #5
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        public double[,] GetBeliefs(NetworkVertex networkVertex, IEnumerable <string> sectionIds, int year)
        {
            var sectionIdList = sectionIds as IList <string> ?? sectionIds.ToList();

            var nRows = sectionIdList.Count();
            var nCols = networkVertex.States.Count;

            var beliefs = new double[nRows, nCols];

            for (var row = 0; row < nRows; row++)
            {
                var sectionBelief = this.GetBelief(sectionIdList[row]);

                for (var col = 0; col < nCols; col++)
                {
                    beliefs[row, col] = sectionBelief[year][networkVertex.Key][col];
                }
            }

            return(beliefs);
        }
Exemple #6
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        public double[,] GetEvidenceStatistic(NetworkVertex networkVertex, IVertexValueComputer valueComputer, IEnumerable <string> sectionIds)
        {
            var sectionIdList = sectionIds as IList <string> ?? sectionIds.ToList();

            var nRows = sectionIdList.Count();
            var nCols = this.GetEvidence(sectionIdList.First()).Keys.Count;

            var statistic = new double[nRows, nCols];

            var row = 0;

            foreach (var sectionId in sectionIdList)
            {
                var col = 0;

                var sectionEvidence = this.GetEvidence(sectionId);

                if (sectionEvidence == null)
                {
                    continue;
                }

                foreach (var year in sectionEvidence.Keys)
                {
                    if (sectionEvidence[year][networkVertex.Key].Value != null)
                    {
                        statistic[row, col] = valueComputer.Compute(networkVertex, sectionEvidence[year][networkVertex.Key].Value, null);
                    }

                    col++;
                }

                row++;
            }

            return(statistic);
        }
Exemple #7
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 public double Compute(NetworkVertex networkVertex, double[] newValue, double[] oldValue)
 {
     return(newValue[this.stateIndex] - oldValue[this.stateIndex]);
 }
Exemple #8
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 public double Compute(NetworkVertex networkVertex, double[] newValue, double[] oldValue)
 {
     return(networkVertex.StandardDeviation(newValue, oldValue));
 }
Exemple #9
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 public double Compute(NetworkVertex networkVertex, double[] newValue, double[] oldValue)
 {
     return(networkVertex.MeanDifference(newValue, oldValue));
 }
Exemple #10
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 public double Compute(NetworkVertex networkVertex, double[] newValue, double[] oldValue)
 {
     return(networkVertex.Entropy(newValue, oldValue));
 }
Exemple #11
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 public double[,] GetEvidenceStatistic(NetworkVertex networkVertex, IVertexValueComputer valueComputer)
 {
     return(this.GetEvidenceStatistic(networkVertex, valueComputer, this.GetSectionIds()));
 }
Exemple #12
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 public double[,] GetBeliefStatistic(IVertexValueComputer valueComputer, NetworkVertex networkVertex)
 {
     return(this.GetBeliefStatistic(valueComputer, networkVertex, this.GetSectionIds()));
 }