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},
"confidenceLevel" : "0.96",
"value" : "0",
"explained" :
{
"slice" :
{
"k" : "0",
"id" : "MyOutputVavable|A",
"n" : "MyOutputVavable|A",
"vis" : "1",
"variableKey" : "1",
"stubKey" : "89671",
"selections" :
{
"its" :
{
"Item" :
{
"id" :
{
"id" : "89683"
},
"variant" : "2"
}
}
},
"aggregator" : "None",
"parametrizedDimensions" :
{
"its" :
{
"Item" :
{
"dimension" : "0",
"parameter" : "0"
}
}
},
"unitInfo" :
{
"unit" : "4294967295",
"measure" : "4294967295",
"baseUnit" : "4294967295",
"unitsDimensionKey" : "0"
},
"level" : "Year"
},
"lag" : "",
"key" : "0",
"termToText" : "{MyOutputVavable|A[t]}",
"termToInnerText" : "@_1:0[]",
"termInfo" :
{
"k" : "4294967295",
"lag" : "0",
"inversion" :
{
"type" : "None",
"lag" : "PrecidingValue",
"previousLag" : "-1",
"seasonality" : "None",
"dependence" : "Linear",
"K" : "3"
},
"slice" :
{
"k" : "0",
"id" : "MyOutputVavable|A",
"n" : "MyOutputVavable|A",
"vis" : "1",
"variableKey" : "1",
"stubKey" : "89671",
"selections" :
{
"its" :
{
"Item" :
{
"id" :
{
"id" : "89683"
},
"variant" : "2"
}
}
},
"aggregator" : "None",
"parametrizedDimensions" :
{
"its" :
{
"Item" :
{
"dimension" : "0",
"parameter" : "0"
}
}
},
"unitInfo" :
{
"unit" : "4294967295",
"measure" : "4294967295",
"baseUnit" : "4294967295",
"unitsDimensionKey" : "0"
},
"level" : "Year"
},
"date" : "1899-12-30"
},
"unitInfo" :
{
"unit" : "4294967295",
"measure" : "4294967295",
"baseUnit" : "4294967295",
"unitsDimensionKey" : "0"
},
"included" : "0"
}
},
"inversionInfo" :
{
"type" : "None",
"lag" : "PrecidingValue",
"previousLag" : "-1",
"seasonality" : "None",
"dependence" : "Linear",
"K" : "3"
},
"doUseR" : "0",
"supportsR" : "0"
},
"calendarLevel" : "Year",
"outputSliceKey" : "0"
}
]
}
},
"kind" : "Simple"
},
"warnings" : "",
"readOnly" : "0"
}
}
]
}
},
"visualController" :
{
"variableRubricatorKey" : "89671",
"freeVariables" :
{
"its" : ""
},
"userRPath" : "",
"isRExist" : "0"
},
"suppressEmptyFilter" :
{
"suppressEmpty" : "0",
"suppressEmptyArea" : "SerieBounds"
},
"readOnly" : "0",
"variableTestUseR" : "0",
"calculateIdentOnFact" : "0"
},
"scenarios" :
{
"its" : ""
},
"details" :
{
"period" :
{
"identificationStartDate" : "1990-01-01",
"identificationEndDate" : "2018-04-24",
"forecastStartDate" : "2018-04-25",
"forecastEndDate" : "2020-01-01",
"identificationStartDateParamID" : "",
"identificationEndDateParamID" : "",
"forecastStartDateParamID" : "",
"forecastEndDateParamID" : "",
"autoPeriod" : "0",
"identificationStartOffset" : "0",
"identificationEndOffset" : "0",
"forecastEndOffset" : "0",
"isIdentStartCorrect" : "1",
"isIdentEndCorrect" : "1",
"isForecastEndCorrect" : "1"
},
"currentPoint" : "2018-04-25"
},
"useSavedCoefficients" : "0",
"useScenarios" : "0",
"readOnly" : "0"
}
}
}
}
}
public static MsItem SetMsCurveEstimation(MsId ms, ulong modelKey, ulong eqKey)
{
var setMsOp = new SetMs();
// Set operation execution parameters
setMsOp.tMs = ms;
setMsOp.tArg = new SetMsArg()
{ // Set data change pattern
pattern = new MsMdPattern()
{
item = new MsItemPattern()
{ // Specify model key
key = modelKey,
problem = new MsProblemPattern()
{
metamodel = new MsMetaModelPattern()
{
calculationChain = ListOperation.Change
}
}
}
},
// Set data that must be changed
meta = new MsMd()
{
item = new MsItem()
{ // Specify model key
k = modelKey,
type = MsItemType.Problem,
problemMd = new MsProblem()
{
metamodel = new MsMetaModel()
{
calculationChain = new MsCalculationChainEntries()
{
its = new MsCalculationChainEntry []
{
new MsCalculationChainEntry()
{
k = eqKey,
type = MsCalculationChainType.Model,
model = new MsModel()
{
transform = new MsFormulaTransform()
{
formulas = new TsFormulas()
{
its = new TsFormula[]
{
new TsFormula()
{
k = 0,
kind = TsFormulaKind.CurveEstimation,
method = new TsMethod()
{ // Set parameters of the Extrapolate method
curveEstimation = new TsCurveEstimationMethod()
{ // Set confidence limits relevance
confidenceLevel = 0.96,
// Set estimation criterion
criterion = StatDependenceCriterionType.R2,
// Set analyzed dependency forms
dependenceForm = null,
dependenceFormIncluded = new StatDependenceType[]
{
StatDependenceType.Linear,
StatDependenceType.Polynomial,
StatDependenceType.Logarithmic
},
// Set polynomial degree
polynomOrder = 4,
// Set seasonal effect
seasonalComponent = new StatSeasonal()
{
mode = StatSeasonalityType.Additive,
cycle = 4
},
missingData = new StatMissingData(){},
// Do not use extrapolation
extrapolateType = null,
value = 0
}
}
}
}
}
}
}
}
}
}
}
}
}
}
, // Set changed data getting pattern
metaGet = new MsMdPattern()
{
scenarios = ListOperation.Get,
period = true,
item = new MsItemPattern()
{
key = modelKey,
problem = new MsProblemPattern()
{
details = true,
scenarios = ListOperation.Get,
useSavedCoefficients = true,
metamodel = new MsMetaModelPattern()
{
calculationChain = ListOperation.Get,
calcChainPattern = new MsCalculationChainPattern()
{
modelPattern = new MsModelPattern()
{
transform = new MsFormulaTransformPattern()
{
kind = true,
formulaCount = true,
formulas = new TsFormulaPattern()
{
method = new TsMethodPattern() { }
},
equationsFormula = new TsFormulaPattern()
{
method = new TsMethodPattern() { }
}
}
}
},
visualControllerPattern = new MsMetaModelVisualControllerPattern()
{
variableRubricatorKey = true,
levelFormat = MsLevelFormat.Short,
useSourceName = false,
freeVariables = true
}
}
}
}
}
};
// Create a proxy object for operation execution
var somClient = new SomPortTypeClient();
// Set operation execution parameters
var result = somClient.SetMs(setMsOp);
return result.meta.item;
}