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"stProbFstat" : "0",
"stME" : "-1.084602493287653e-15",
"stMAE" : "0.3119376087872172",
"stMSE" : "0.2634857448932355",
"stMaxAE" : "1.920839385280324",
"stSqMSE" : "0.5133086253836336",
"stVE" : "0.2634857448932355",
"stSEE" : "0.5133086253836336",
"stMD" : "21.1",
"stHQcriterion" : "1.958406878256565",
"stAvgLogL" : "NaN",
"stMcFaddenRsquared" : "NaN",
"stRestrLogL" : "NaN",
"stLRstatistic" : "NaN",
"stLRprobability" : "NaN",
"stIncludedObservations" : "26",
"stJstat" : "NaN",
"stProbJstat" : "NaN",
"stNumOfIter" : "-1",
"stJBStat" : "44.27599282059314",
"stProbJBStat" : "2.429910717083317e-10"
},
"name" : "An*t^n + ... + A2*t^2 + A1*t + A0",
"series" :
{
"input" :
{
"k" : "4294967295",
"lag" : "0",
"inversion" :
{
"type" : "None",
"lag" : "PrecidingValue",
"previousLag" : "-1",
"seasonality" : "None",
"dependence" : "Linear",
"K" : "3"
},
"slice" :
{
"k" : "0",
"id" : "1",
"n" : "MyInputVavable",
"vis" : "1",
"variableKey" : "2",
"stubKey" : "89671",
"selections" :
{
"its" :
{
"Item" :
{
"id" :
{
"id" : "89683"
},
"variant" : "1"
}
}
},
"aggregator" : "None",
"parametrizedDimensions" :
{
"its" :
{
"Item" :
{
"dimension" : "0",
"parameter" : "0"
}
}
},
"unitInfo" :
{
"unit" : "4294967295",
"measure" : "4294967295",
"baseUnit" : "4294967295",
"unitsDimensionKey" : "0"
},
"level" : "Year"
},
"date" : "1899-12-30"
},
"addFactor" :
{
"k" : "4294967295"
}
},
"evaluateSeries" :
{
"its" :
{
"Item" :
{
"scenarioKey" : "4294967295",
"fact" :
{
"d" :
[
"1",
"4",
"2",
"7",
"7.5",
"9.1",
"10.7",
"12.3",
"13.9",
"15.5",
"17.1",
"18.7",
"20.3",
"21.9",
"23.5",
"25.1",
"26.7",
"28.3",
"29.9",
"31.5",
"33.1",
"34.7",
"36.3",
"37.9",
"39.5",
"41.1",
"NaN",
"NaN",
"NaN"
]
},
"modelling" :
{
"d" :
[
"1.118621941960582",
"2.913186226971609",
"3.920839385280324",
"6.083655743685077",
"7.480263299190218",
"9.284729796956913",
"10.30170480827827",
"12.47314753514884",
"13.87757084976917",
"15.68892737249664",
"16.71175154982057",
"18.8878874589317",
"20.2957328472268",
"22.10912521025945",
"23.13248386971516",
"25.30753777798089",
"26.71256955764962",
"28.52130157947111",
"29.53803804032711",
"31.70439276780075",
"33.09853325968123",
"34.89406676191454",
"35.89518234657857",
"38.04337871645274",
"39.4167082445224",
"41.18866305192973",
"NaN",
"NaN",
"NaN"
]
},
"residuals" :
{
"d" :
[
"-0.1186219419605818",
"1.086813773028391",
"-1.920839385280324",
"0.9163442563149227",
"0.01973670080978174",
"-0.1847297969569137",
"0.398295191721731",
"-0.1731475351488356",
"0.02242915023083114",
"-0.1889273724966447",
"0.3882484501794323",
"-0.187887458931705",
"0.004267152773199001",
"-0.2091252102594545",
"0.3675161302848373",
"-0.2075377779808925",
"-0.01256955764961987",
"-0.2213015794711097",
"0.3619619596728931",
"-0.2043927678007549",
"0.0014667403187687",
"-0.1940667619145344",
"0.404817653421425",
"-0.1433787164527374",
"0.08329175547759604",
"-0.08866305192972845",
"NaN",
"NaN",
"NaN"
]
},
"input" :
{
"d" :
[
"3",
"7",
"2",
"6",
"4",
"1",
"5",
"3.42857143",
"3.28571429",
"3.14285714",
"3",
"2.85714286",
"2.71428571",
"2.57142857",
"2.42857143",
"2.28571429",
"2.14285714",
"2",
"1.85714286",
"1.71428571",
"1.57142857",
"1.42857143",
"1.28571429",
"1.14285714",
"1",
"0.85714286",
"0.71428571",
"0.57142857",
"NaN",
"NaN",
"NaN"
]
},
"factors" :
{
"its" : ""
}
}
},
"dates" :
{
"it" :
[
"1990A1",
"1991A1",
"1992A1",
"1993A1",
"1994A1",
"1995A1",
"1996A1",
"1997A1",
"1998A1",
"1999A1",
"2000A1",
"2001A1",
"2002A1",
"2003A1",
"2004A1",
"2005A1",
"2006A1",
"2007A1",
"2008A1",
"2009A1",
"2010A1",
"2011A1",
"2012A1",
"2013A1",
"2014A1",
"2015A1",
"2016A1",
"2017A1",
"2018A1",
"2019A1",
"2020A1"
]
}
},
"inversionInfo" :
{
"type" : "None",
"lag" : "PrecidingValue",
"previousLag" : "-1",
"seasonality" : "None",
"dependence" : "Linear",
"K" : "3"
},
"doUseR" : "0",
"supportsR" : "0"
},
"calendarLevel" : "Year",
"outputSliceKey" : "0"
}
]
}
},
"displayId" : "0",
"series" :
{
"its" : ""
},
"kind" : "Simple",
"displaySettings" :
{
"displayTermsAs" : "Derive"
},
"additionalAttributes" : "",
"calculationType" : "Serie",
"calculationDirection" : "Forward"
},
"stochastic" : "0",
"calculationPeriod" : "Forecast",
"useModelPeriod" : "1",
"useExistingData" : "0",
"treatNullsAsZeros" : "0",
"autoName" : "1",
"period" :
{
"identificationStartDate" : "1990-01-01",
"identificationEndDate" : "2018-04-24",
"forecastStartDate" : "2018-04-25",
"forecastEndDate" : "2020-01-01",
"identificationStartDateParamID" : "",
"identificationEndDateParamID" : "",
"forecastStartDateParamID" : "",
"forecastEndDateParamID" : "",
"autoPeriod" : "28672",
"identificationStartOffset" : "0",
"identificationEndOffset" : "0",
"forecastEndOffset" : "0",
"isIdentStartCorrect" : "1",
"isIdentEndCorrect" : "1",
"isForecastEndCorrect" : "1"
},
"isExclusive" : "1",
"useAutoPeriod" : "1",
"generatedName" : "MyOutputVavable|A[t] = An*t^n + ... + A2*t^2 + A1*t + A0",
"warnings" : "",
"readOnly" : "0"
}
}
}
},
"visualController" :
{
"userRPath" : "",
"isRExist" : "0"
},
"suppressEmptyFilter" :
{
"suppressEmpty" : "0",
"suppressEmptyArea" : "SerieBounds"
},
"readOnly" : "0",
"variableTestUseR" : "0",
"calculateIdentOnFact" : "0"
},
"useScenarios" : "0",
"readOnly" : "0"
}
}
}
}
}
public static MsCalculationChainEntry GetMsCurveEstimation(MsId ms, ulong modelKey, ulong eqKey)
{
var getMsOp = new GetMs();
// Set operation execution parameters
getMsOp.tMs = ms;
getMsOp.tArg = new GetMsArg()
{ // Set data getting pattern
pattern = new MsMdPattern()
{
item = new MsItemPattern()
{ // Specify calculated equation key
key = modelKey,
problem = new MsProblemPattern()
{
metamodel = new MsMetaModelPattern()
{
calculationChain = ListOperation.Get,
calcChainPattern = new MsCalculationChainPattern()
{
entryKeys = new long[] { (long)eqKey },
modelPattern = new MsModelPattern()
{
autoName = true,
calculationPeriod = true,
generatedName = true,
isExclusive = true,
period = true,
stochastic = true,
treatNullsAsZeros = true,
useAutoPeriod = true,
useExistingData = true,
useModelPeriod = true,
transform = new MsFormulaTransformPattern()
{
additionalAttributes = true,
calculationDirection = true,
calculationType = true,
displayId = true,
displaySettings = true,
formulaCount = true,
outputs = ListOperation.Get,
series = ListOperation.Get,
kind = true,
formulas = new TsFormulaPattern()
{
method = new TsMethodPattern()
{
series = true
}
},
equationsFormula = new TsFormulaPattern()
{
method = new TsMethodPattern() { }
},
transformVariable = new MsFormulaTransformVariablePattern()
{
slices = ListOperation.Get,
transformSlice = new MsFormulaTransformSlicePattern()
{
selection = ListOperation.Get
}
}
}
}
}
}
}
}
}, // Set equation calculation parameters
execParams = new MsMdExecParams()
{
k = 0,
execMethod = true,
execEvaluateSeries = true,
execGenerateName = true,
execSummaryStatistics = true,
execCoefficients = true,
execStatCoefficients = true,
scenarioKeys = new long[] { },
modelKeys = new long[] { (long)eqKey }
}
};
// Create a proxy object for operation execution
var somClient = new SomPortTypeClient();
GetMsResult getMsResult = somClient.GetMs(getMsOp);
MsMetaModel meta = getMsResult.meta.item.problemMd.metamodel;
MsCalculationChainEntry chainEntry = meta.calculationChain.its.GetValue(0) as MsCalculationChainEntry;
// Display errors and warnings
MsModel eq = chainEntry.model;
if (eq.warnings.Length != 0)
{
Console.WriteLine("-- Warnings --");
Console.WriteLine("".PadRight(3) + printArray(eq.warnings));
}
if (eq.error == null) //Check if errors occurred on equation calculation
{ // Equation if calculated without errors
// Get calculation results
TsFormula formula = eq.transform.formulas.its.GetValue(0) as TsFormula;
TsCurveEstimationMethod curve = formula.method.curveEstimation;
// Display best dependency form
Console.WriteLine("Best dependency form: "+curve.bestDependenceForm.Value);
// Display data on dependency forms
MsDependenceForms depForms = curve.dependenceForms;
foreach (MsDependenceForm form in depForms.its)
{
Console.WriteLine("Analyzed dependency form: "+ form.dependenceForm.ToString());
if (form.errors == "")
{
Console.WriteLine("Criterion value: ".PadRight(3) + form.criterionValue);
Console.WriteLine("Equation: ".PadRight(3) + form.expression);
// Get summary statistics and display into console window
StatSummaryStatistics stat = form.summaryStatistics;
PrintStat(stat);
// Get coefficient values and display into console window
StatModelCoefficients coef = form.statCoefficients;
PrintCoef(coef);
}
else // Display errors occurred on dependency autoselection
{ Console.WriteLine("".PadRight(3)+form.errors);};
};
// Get calculated values and display into console window
MsEvaluateSeriesResult seriesRes = formula.method.evaluateSeries;
printSeries(seriesRes);
}
else // Errors occurred on equation calculation
{
Console.WriteLine("-- Errors --");
Console.WriteLine(eq.error);
}
// Return the model that contains equation
return chainEntry;
}