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"variant" : "2"
}
}
},
"aggregator" : "None",
"parametrizedDimensions" :
{
"its" :
{
"Item" :
{
"dimension" : "0",
"parameter" : "0"
}
}
},
"unitInfo" :
{
"unit" : "4294967295",
"measure" : "4294967295",
"baseUnit" : "4294967295",
"unitsDimensionKey" : "0"
},
"level" : "Year"
},
"fullName" : "MyOutputVavable|A",
"originalName" : "MyOutputVavable",
"originalShortName" : "MyOutputVavable",
"useCustomName" : "0"
}
},
{
"k" : "4",
"id" : "OBJ4",
"n" : "MyOutputVavable|A[t] = 10 - MyInputVavable[t] * 3.14, (From parent)-(From parent)",
"vis" : "1",
"type" : "Model",
"excluded" : "0",
"graphMeta" : "",
"model" :
{
"transform" :
{
"formulaCount" : "1",
"formulas" :
{
"its" :
{
"it" :
[
{
"k" : "0",
"kind" : "LinearRegression",
"method" :
{
"linearRegression" :
{
"constantMode" : "ManualEstimate",
"constantValue" : "0.5",
"confidenceLevel" : "0.85",
"ARMA" :
{
"orderAR" :
{
"l" : "1"
},
"orderMA" : "",
"calcInitMode" : "Auto",
"initAR" : "",
"initMA" : "",
"initIntercept" : "NaN",
"estimationMethod" : "LevenbergMarquardt",
"tolerance" : "0.0001",
"maxIteration" : "500",
"coefficientsAR" :
{
"estimate" : "",
"standardError" : "",
"tStatistic" : "",
"probability" : ""
},
"coefficientsMA" :
{
"estimate" : "",
"standardError" : "",
"tStatistic" : "",
"probability" : ""
},
"diff" : "0",
"diffSeas" : "1",
"orderARSeas" : "",
"orderMASeas" : "",
"initARSeas" : "",
"initMASeas" : "",
"periodSeas" : "0",
"coefficientsARSeas" :
{
"estimate" : "",
"standardError" : "",
"tStatistic" : "",
"probability" : ""
},
"coefficientsMASeas" :
{
"estimate" : "",
"standardError" : "",
"tStatistic" : "",
"probability" : ""
},
"useARMAasInstrums" : "1",
"useAnalyticDeriv" : "1",
"useBackCast" : "1"
},
"missingData" :
{
"specifiedVector" : "",
"method" : "Casewise",
"methodParameter" : "5",
"specifiedValue" : "0",
"specifiedTerm" :
{
"k" : "4294967295"
}
}
},
"inversionInfo" :
{
"type" : "None",
"lag" : "PrecidingValue",
"previousLag" : "-1",
"seasonality" : "None",
"dependence" : "Linear",
"K" : "3"
},
"doUseR" : "0",
"supportsR" : "1"
},
"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 SetMsLinearRegr(MsId ms, ulong modelKey, ulong eqKey, MsModel eq)
{ // Get input variable
MsFormulaTransformVariable inp = eq.transform.inputs.its.GetValue(0) as MsFormulaTransformVariable;
// Set operation execution parameters
var setMsOp = new SetMs();
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()
{
kind = TsFormulaKind.LinearRegression,
method = new TsMethod()
{ // Set method calculation parameters
linearRegression = new TsLinearRegressionMethod()
{
constantMode = StatInterceptMode.ManualEstimate,
constantValue = 0.5,
confidenceLevel = 0.85,
ARMA = new SlARMA(){orderAR = new long[] {1}},
missingData = new StatMissingData(){},
// Set explanatory factors
explanatories = new MsCompositeFormulaTerms()
{
simpleTerm = null,
termInfo = null,
its = new MsCompositeFormulaTerm[]
{ // Set factor
new MsCompositeFormulaTerm()
{
k = 0,
operands = new MsFormulaTerms()
{
its = new MsFormulaTerm[]
{
new MsFormulaTerm()
{
k = 0,
slice = inp.slices.its.GetValue(0) as MsFormulaTransformSlice
}
}
},
expressionText = "",
inversedExpressionText = "",
expression ="@_" + inp.k + ":0[] * 8",
aggregationAttrKey = 0,
missingData = new StatMissingData(){method = StatMissingDataMethod.Casewise},
applyMissingData = true,
unitInfo = null,
included = true,
lag = 1,
inversion = new TsInversion()
{
type = TsInversionType.TS,
dependence = StatDependenceType.Linear
}, // Specify that factor is a lag variable
customOptions = new MsTermOptions()
{
isPDLTerm = true,
pdlConstraint = PDLConstraintKind.None,
lagLengthK = 1,
polinomialDegreeP = 1
}
}
}
}, // Set factor autoselection parameters
autoSelection = new LinearRegressionAutoSelection()
{
criterion = StatCriterionType.R2,
isActive = true,
min = 2,
max = 3
}
}
}
}
}
}
}
}
}
}
}
}
}
}
}, // 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;
}