test_class.file: jtstoolkit/src/test/java/ec/tstoolkit/modelling/arima/PreprocessingModelTest.java
test_class.identifier: PreprocessingModelTest
test_case.body: @Test
      @Ignore
      public void demoDictionary() {
          Map<String, Class> dic = PreprocessingModel.dictionary(false);
          for (Entry<String, Class> o : dic.entrySet()) {
              System.out.print(o.getKey());
              System.out.print('\t');
              System.out.println(o.getValue().getSimpleName());
          }
          dic = PreprocessingModel.dictionary(true);
          for (Entry<String, Class> o : dic.entrySet()) {
              System.out.print(o.getKey());
              System.out.print('\t');
              System.out.println(o.getValue().getSimpleName());
          }
      }
test_case.class_method_signature: PreprocessingModelTest.demoDictionary()
test_case.full_signature: @Test @Ignore public void demoDictionary()
test_case.identifier: demoDictionary
test_case.invocations: dictionary entrySet print getKey print println getSimpleName getValue dictionary entrySet print getKey print println getSimpleName getValue
test_case.modifiers: @Test @Ignore public
test_case.parameters: ()
test_case.return: void
test_case.signature: void demoDictionary()
focal_class.declarator: description
focal_class.modifier: public final
focal_class.original_string: public final ModelDescription description;
focal_class.type: ModelDescription
focal_class.var_name: description
focal_class.declarator: estimation
focal_class.modifier: public final
focal_class.original_string: public final ModelEstimation estimation;
focal_class.type: ModelEstimation
focal_class.var_name: estimation
focal_class.declarator: info_
focal_class.modifier: public
focal_class.original_string: public InformationSet info_;
focal_class.type: InformationSet
focal_class.var_name: info_
focal_class.declarator: log_ = new ArrayList<>()
focal_class.modifier: private
focal_class.original_string: private List<ProcessingInformation> log_ = new ArrayList<>();
focal_class.type: List<ProcessingInformation>
focal_class.var_name: log_
focal_class.declarator: NO_OUTLIER = new OutlierEstimation[0]
focal_class.modifier: private static final
focal_class.original_string: private static final OutlierEstimation[] NO_OUTLIER = new OutlierEstimation[0];
focal_class.type: OutlierEstimation[]
focal_class.var_name: NO_OUTLIER
focal_class.declarator: x_
focal_class.modifier: private
focal_class.original_string: private TsVariableList x_;
focal_class.type: TsVariableList
focal_class.var_name: x_
focal_class.declarator: fullres_
focal_class.modifier: private
focal_class.original_string: private TsData fullres_, lin_, fcast_, bcast_;
focal_class.type: TsData
focal_class.var_name: fullres_
focal_class.declarator: xfcasts_
focal_class.modifier: private
focal_class.original_string: private Forecasts xfcasts_;
focal_class.type: Forecasts
focal_class.var_name: xfcasts_
focal_class.declarator: ncasts = -2
focal_class.modifier: private
focal_class.original_string: private int ncasts = -2;
focal_class.type: int
focal_class.var_name: ncasts
focal_class.declarator: LOG = "log"
focal_class.modifier: public static final
focal_class.original_string: public static final String LOG = "log",
              ADJUST = "adjust",
              SPAN = "span", ESPAN = "espan", START = "start", END = "end", N = "n", NM = "missing", PERIOD = "period",
              REGRESSION = "regression",
              OUTLIERS = "outlier(*)",
              CALENDAR = "calendar(*)",
              EASTER = "easter",
              FULLRES = "fullresiduals",
              FCASTS = "fcasts",
              EFCASTS = "efcasts",
              BCASTS = "bcasts",
              LIN_FCASTS = "lin_fcasts",
              LIN_BCASTS = "lin_bcasts",
              NTD = "ntd", NMH = "nmh",
              TD = "td", TD1 = "td(1)", TD2 = "td(2)", TD3 = "td(3)", TD4 = "td(4)", TD5 = "td(5)", TD6 = "td(6)", TD7 = "td(7)",
              TD8 = "td(8)", TD9 = "td(9)", TD10 = "td(10)", TD11 = "td(11)", TD12 = "td(12)", TD13 = "td(13)", TD14 = "td(14)",
              LP = "lp", OUT = "out", OUT1 = "out(1)", OUT2 = "out(2)", OUT3 = "out(3)", OUT4 = "out(4)", OUT5 = "out(5)", OUT6 = "out(6)", OUT7 = "out(7)",
              NOUT = "nout", NOUTAO = "noutao", NOUTLS = "noutls", NOUTTC = "nouttc", NOUTSO = "noutso",
              OUT8 = "out(8)", OUT9 = "out(9)", OUT10 = "out(10)", OUT11 = "out(11)", OUT12 = "out(12)", OUT13 = "out(13)", OUT14 = "out(14)",
              OUT15 = "out(15)", OUT16 = "out(16)", OUT17 = "out(17)", OUT18 = "out(18)", OUT19 = "out(19)", OUT20 = "out(20)",
              OUT21 = "out(21)", OUT22 = "out(22)", OUT23 = "out(23)", OUT24 = "out(24)", OUT25 = "out(25)", OUT26 = "out(26)",
              OUT27 = "out(27)", OUT28 = "out(28)", OUT29 = "out(29)", OUT30 = "out(30)",
              USER="user", COEFF = "coefficients", COVAR = "covar", COEFFDESC = "description", PCOVAR = "pcovar",
              TD_DERIVED = "td-derived", TD_FTEST = "td-ftest";
focal_class.type: String
focal_class.var_name: LOG
focal_class.declarator: MAPPING = new InformationMapping<>(PreprocessingModel.class)
focal_class.modifier: private static final
focal_class.original_string: private static final InformationMapping<PreprocessingModel> MAPPING = new InformationMapping<>(PreprocessingModel.class);
focal_class.type: InformationMapping<PreprocessingModel>
focal_class.var_name: MAPPING
focal_class.file: jtstoolkit/src/main/java/ec/tstoolkit/modelling/arima/PreprocessingModel.java
focal_class.identifier: PreprocessingModel
focal_class.interfaces: implements IProcResults
focal_class.class_method_signature: PreprocessingModel.getNcasts()
focal_class.full_signature: public int getNcasts()
focal_class.identifier: getNcasts
focal_class.modifiers: public
focal_class.parameters: ()
focal_class.return: int
focal_class.signature: int getNcasts()
focal_class.class_method_signature: PreprocessingModel.setNcasts(int ncasts)
focal_class.full_signature: public void setNcasts(int ncasts)
focal_class.identifier: setNcasts
focal_class.modifiers: public
focal_class.parameters: (int ncasts)
focal_class.return: void
focal_class.signature: void setNcasts(int ncasts)
focal_class.class_method_signature: PreprocessingModel.outlierComponent(OutlierType type)
focal_class.full_signature: public static ComponentType outlierComponent(OutlierType type)
focal_class.identifier: outlierComponent
focal_class.modifiers: public static
focal_class.parameters: (OutlierType type)
focal_class.return: ComponentType
focal_class.signature: ComponentType outlierComponent(OutlierType type)
focal_class.class_method_signature: PreprocessingModel.outlierTypes(ComponentType cmp)
focal_class.full_signature: public static OutlierType[] outlierTypes(ComponentType cmp)
focal_class.identifier: outlierTypes
focal_class.modifiers: public static
focal_class.parameters: (ComponentType cmp)
focal_class.return: OutlierType[]
focal_class.signature: OutlierType[] outlierTypes(ComponentType cmp)
focal_class.class_method_signature: PreprocessingModel.backTransform(TsData s, boolean T, boolean S)
focal_class.full_signature: public void backTransform(TsData s, boolean T, boolean S)
focal_class.identifier: backTransform
focal_class.modifiers: public
focal_class.parameters: (TsData s, boolean T, boolean S)
focal_class.return: void
focal_class.signature: void backTransform(TsData s, boolean T, boolean S)
focal_class.class_method_signature: PreprocessingModel.PreprocessingModel(ModelDescription description, ModelEstimation estimation)
focal_class.full_signature: public  PreprocessingModel(ModelDescription description, ModelEstimation estimation)
focal_class.identifier: PreprocessingModel
focal_class.modifiers: public
focal_class.parameters: (ModelDescription description, ModelEstimation estimation)
focal_class.signature:  PreprocessingModel(ModelDescription description, ModelEstimation estimation)
focal_class.class_method_signature: PreprocessingModel.updateModel()
focal_class.full_signature: public void updateModel()
focal_class.identifier: updateModel
focal_class.modifiers: public
focal_class.parameters: ()
focal_class.return: void
focal_class.signature: void updateModel()
focal_class.class_method_signature: PreprocessingModel.addProcessingInformation(ProcessingInformation info)
focal_class.full_signature: public void addProcessingInformation(ProcessingInformation info)
focal_class.identifier: addProcessingInformation
focal_class.modifiers: public
focal_class.parameters: (ProcessingInformation info)
focal_class.return: void
focal_class.signature: void addProcessingInformation(ProcessingInformation info)
focal_class.class_method_signature: PreprocessingModel.addProcessingInformation(Collection<ProcessingInformation> info)
focal_class.full_signature: public void addProcessingInformation(Collection<ProcessingInformation> info)
focal_class.identifier: addProcessingInformation
focal_class.modifiers: public
focal_class.parameters: (Collection<ProcessingInformation> info)
focal_class.return: void
focal_class.signature: void addProcessingInformation(Collection<ProcessingInformation> info)
focal_class.class_method_signature: PreprocessingModel.likelihoodFunction()
focal_class.full_signature: public IFunction likelihoodFunction()
focal_class.identifier: likelihoodFunction
focal_class.modifiers: public
focal_class.parameters: ()
focal_class.return: IFunction
focal_class.signature: IFunction likelihoodFunction()
focal_class.class_method_signature: PreprocessingModel.maxLikelihoodFunction()
focal_class.full_signature: public IFunctionInstance maxLikelihoodFunction()
focal_class.identifier: maxLikelihoodFunction
focal_class.modifiers: public
focal_class.parameters: ()
focal_class.return: IFunctionInstance
focal_class.signature: IFunctionInstance maxLikelihoodFunction()
focal_class.class_method_signature: PreprocessingModel.missings(boolean unbiased)
focal_class.full_signature: public MissingValueEstimation[] missings(boolean unbiased)
focal_class.identifier: missings
focal_class.modifiers: public
focal_class.parameters: (boolean unbiased)
focal_class.return: MissingValueEstimation[]
focal_class.signature: MissingValueEstimation[] missings(boolean unbiased)
focal_class.class_method_signature: PreprocessingModel.interpolatedSeries(boolean bTransformed)
focal_class.full_signature: public TsData interpolatedSeries(boolean bTransformed)
focal_class.identifier: interpolatedSeries
focal_class.modifiers: public
focal_class.parameters: (boolean bTransformed)
focal_class.return: TsData
focal_class.signature: TsData interpolatedSeries(boolean bTransformed)
focal_class.class_method_signature: PreprocessingModel.linearizedSeries()
focal_class.full_signature: public TsData linearizedSeries()
focal_class.identifier: linearizedSeries
focal_class.modifiers: public
focal_class.parameters: ()
focal_class.return: TsData
focal_class.signature: TsData linearizedSeries()
focal_class.class_method_signature: PreprocessingModel.linearizedSeries(boolean includeUndefinedReg)
focal_class.full_signature: public TsData linearizedSeries(boolean includeUndefinedReg)
focal_class.identifier: linearizedSeries
focal_class.modifiers: public
focal_class.parameters: (boolean includeUndefinedReg)
focal_class.return: TsData
focal_class.signature: TsData linearizedSeries(boolean includeUndefinedReg)
focal_class.class_method_signature: PreprocessingModel.preadjustmentEffect(TsDomain domain)
focal_class.full_signature: public TsData preadjustmentEffect(TsDomain domain)
focal_class.identifier: preadjustmentEffect
focal_class.modifiers: public
focal_class.parameters: (TsDomain domain)
focal_class.return: TsData
focal_class.signature: TsData preadjustmentEffect(TsDomain domain)
focal_class.class_method_signature: PreprocessingModel.preadjustmentEffect(TsDomain domain, final ComponentType type)
focal_class.full_signature: public TsData preadjustmentEffect(TsDomain domain, final ComponentType type)
focal_class.identifier: preadjustmentEffect
focal_class.modifiers: public
focal_class.parameters: (TsDomain domain, final ComponentType type)
focal_class.return: TsData
focal_class.signature: TsData preadjustmentEffect(TsDomain domain, final ComponentType type)
focal_class.class_method_signature: PreprocessingModel.regressionEffect(TsDomain domain)
focal_class.full_signature: public TsData regressionEffect(TsDomain domain)
focal_class.identifier: regressionEffect
focal_class.modifiers: public
focal_class.parameters: (TsDomain domain)
focal_class.return: TsData
focal_class.signature: TsData regressionEffect(TsDomain domain)
focal_class.class_method_signature: PreprocessingModel.preadjustmentEffect(TsDomain domain, Class<T> tclass)
focal_class.full_signature: public TsData preadjustmentEffect(TsDomain domain, Class<T> tclass)
focal_class.identifier: preadjustmentEffect
focal_class.modifiers: public
focal_class.parameters: (TsDomain domain, Class<T> tclass)
focal_class.return: TsData
focal_class.signature: TsData preadjustmentEffect(TsDomain domain, Class<T> tclass)
focal_class.class_method_signature: PreprocessingModel.regressionEffect(TsDomain domain, Class<T> tclass)
focal_class.full_signature: public TsData regressionEffect(TsDomain domain, Class<T> tclass)
focal_class.identifier: regressionEffect
focal_class.modifiers: public
focal_class.parameters: (TsDomain domain, Class<T> tclass)
focal_class.return: TsData
focal_class.signature: TsData regressionEffect(TsDomain domain, Class<T> tclass)
focal_class.class_method_signature: PreprocessingModel.preadjustmentEffect(TsDomain domain, Predicate<PreadjustmentVariable> selector)
focal_class.full_signature: public TsData preadjustmentEffect(TsDomain domain, Predicate<PreadjustmentVariable> selector)
focal_class.identifier: preadjustmentEffect
focal_class.modifiers: public
focal_class.parameters: (TsDomain domain, Predicate<PreadjustmentVariable> selector)
focal_class.return: TsData
focal_class.signature: TsData preadjustmentEffect(TsDomain domain, Predicate<PreadjustmentVariable> selector)
focal_class.class_method_signature: PreprocessingModel.regressionEffect(TsDomain domain, Predicate<Variable> selector)
focal_class.full_signature: private TsData regressionEffect(TsDomain domain, Predicate<Variable> selector)
focal_class.identifier: regressionEffect
focal_class.modifiers: private
focal_class.parameters: (TsDomain domain, Predicate<Variable> selector)
focal_class.return: TsData
focal_class.signature: TsData regressionEffect(TsDomain domain, Predicate<Variable> selector)
focal_class.class_method_signature: PreprocessingModel.deterministicEffect(TsDomain domain)
focal_class.full_signature: public TsData deterministicEffect(TsDomain domain)
focal_class.identifier: deterministicEffect
focal_class.modifiers: public
focal_class.parameters: (TsDomain domain)
focal_class.return: TsData
focal_class.signature: TsData deterministicEffect(TsDomain domain)
focal_class.class_method_signature: PreprocessingModel.deterministicEffect(TsDomain domain, Predicate<ITsVariable> selector)
focal_class.full_signature: public TsData deterministicEffect(TsDomain domain, Predicate<ITsVariable> selector)
focal_class.identifier: deterministicEffect
focal_class.modifiers: public
focal_class.parameters: (TsDomain domain, Predicate<ITsVariable> selector)
focal_class.return: TsData
focal_class.signature: TsData deterministicEffect(TsDomain domain, Predicate<ITsVariable> selector)
focal_class.class_method_signature: PreprocessingModel.deterministicEffect(TsDomain domain, Class<T> tclass)
focal_class.full_signature: public TsData deterministicEffect(TsDomain domain, Class<T> tclass)
focal_class.identifier: deterministicEffect
focal_class.modifiers: public
focal_class.parameters: (TsDomain domain, Class<T> tclass)
focal_class.return: TsData
focal_class.signature: TsData deterministicEffect(TsDomain domain, Class<T> tclass)
focal_class.class_method_signature: PreprocessingModel.tradingDaysEffect(TsDomain domain)
focal_class.full_signature: public TsData tradingDaysEffect(TsDomain domain)
focal_class.identifier: tradingDaysEffect
focal_class.modifiers: public
focal_class.parameters: (TsDomain domain)
focal_class.return: TsData
focal_class.signature: TsData tradingDaysEffect(TsDomain domain)
focal_class.class_method_signature: PreprocessingModel.movingHolidaysEffect(TsDomain domain)
focal_class.full_signature: public TsData movingHolidaysEffect(TsDomain domain)
focal_class.identifier: movingHolidaysEffect
focal_class.modifiers: public
focal_class.parameters: (TsDomain domain)
focal_class.return: TsData
focal_class.signature: TsData movingHolidaysEffect(TsDomain domain)
focal_class.class_method_signature: PreprocessingModel.outliersEffect(TsDomain domain)
focal_class.full_signature: public TsData outliersEffect(TsDomain domain)
focal_class.identifier: outliersEffect
focal_class.modifiers: public
focal_class.parameters: (TsDomain domain)
focal_class.return: TsData
focal_class.signature: TsData outliersEffect(TsDomain domain)
focal_class.class_method_signature: PreprocessingModel.outliersEffect(TsDomain domain, final ComponentType type)
focal_class.full_signature: public TsData outliersEffect(TsDomain domain, final ComponentType type)
focal_class.identifier: outliersEffect
focal_class.modifiers: public
focal_class.parameters: (TsDomain domain, final ComponentType type)
focal_class.return: TsData
focal_class.signature: TsData outliersEffect(TsDomain domain, final ComponentType type)
focal_class.class_method_signature: PreprocessingModel.outliersEstimation(boolean unbiased, boolean prespecified)
focal_class.full_signature: public OutlierEstimation[] outliersEstimation(boolean unbiased, boolean prespecified)
focal_class.identifier: outliersEstimation
focal_class.modifiers: public
focal_class.parameters: (boolean unbiased, boolean prespecified)
focal_class.return: OutlierEstimation[]
focal_class.signature: OutlierEstimation[] outliersEstimation(boolean unbiased, boolean prespecified)
focal_class.class_method_signature: PreprocessingModel.regressors(TsDomain domain)
focal_class.full_signature: public List<TsData> regressors(TsDomain domain)
focal_class.identifier: regressors
focal_class.modifiers: public
focal_class.parameters: (TsDomain domain)
focal_class.return: List<TsData>
focal_class.signature: List<TsData> regressors(TsDomain domain)
focal_class.class_method_signature: PreprocessingModel.deterministicEffect(TsDomain domain, final ComponentType type)
focal_class.full_signature: public TsData deterministicEffect(TsDomain domain, final ComponentType type)
focal_class.identifier: deterministicEffect
focal_class.modifiers: public
focal_class.parameters: (TsDomain domain, final ComponentType type)
focal_class.return: TsData
focal_class.signature: TsData deterministicEffect(TsDomain domain, final ComponentType type)
focal_class.class_method_signature: PreprocessingModel.userEffect(TsDomain domain, final ComponentType type)
focal_class.full_signature: public TsData userEffect(TsDomain domain, final ComponentType type)
focal_class.identifier: userEffect
focal_class.modifiers: public
focal_class.parameters: (TsDomain domain, final ComponentType type)
focal_class.return: TsData
focal_class.signature: TsData userEffect(TsDomain domain, final ComponentType type)
focal_class.class_method_signature: PreprocessingModel.userEffect(TsDomain domain)
focal_class.full_signature: public TsData userEffect(TsDomain domain)
focal_class.identifier: userEffect
focal_class.modifiers: public
focal_class.parameters: (TsDomain domain)
focal_class.return: TsData
focal_class.signature: TsData userEffect(TsDomain domain)
focal_class.class_method_signature: PreprocessingModel.linearizedForecast(int nf)
focal_class.full_signature: public TsData linearizedForecast(int nf)
focal_class.identifier: linearizedForecast
focal_class.modifiers: public
focal_class.parameters: (int nf)
focal_class.return: TsData
focal_class.signature: TsData linearizedForecast(int nf)
focal_class.class_method_signature: PreprocessingModel.linearizedForecast(int nf, boolean includeUndefinedReg)
focal_class.full_signature: public TsData linearizedForecast(int nf, boolean includeUndefinedReg)
focal_class.identifier: linearizedForecast
focal_class.modifiers: public
focal_class.parameters: (int nf, boolean includeUndefinedReg)
focal_class.return: TsData
focal_class.signature: TsData linearizedForecast(int nf, boolean includeUndefinedReg)
focal_class.class_method_signature: PreprocessingModel.linearizedBackcast(int nf, boolean includeUndefinedReg)
focal_class.full_signature: public TsData linearizedBackcast(int nf, boolean includeUndefinedReg)
focal_class.identifier: linearizedBackcast
focal_class.modifiers: public
focal_class.parameters: (int nf, boolean includeUndefinedReg)
focal_class.return: TsData
focal_class.signature: TsData linearizedBackcast(int nf, boolean includeUndefinedReg)
focal_class.class_method_signature: PreprocessingModel.forecasts(int nf)
focal_class.full_signature: public Forecasts forecasts(int nf)
focal_class.identifier: forecasts
focal_class.modifiers: public
focal_class.parameters: (int nf)
focal_class.return: Forecasts
focal_class.signature: Forecasts forecasts(int nf)
focal_class.class_method_signature: PreprocessingModel.linearizedBackcast(int nb)
focal_class.full_signature: public TsData linearizedBackcast(int nb)
focal_class.identifier: linearizedBackcast
focal_class.modifiers: public
focal_class.parameters: (int nb)
focal_class.return: TsData
focal_class.signature: TsData linearizedBackcast(int nb)
focal_class.class_method_signature: PreprocessingModel.forecast(int nf, boolean transformed)
focal_class.full_signature: public TsData forecast(int nf, boolean transformed)
focal_class.identifier: forecast
focal_class.modifiers: public
focal_class.parameters: (int nf, boolean transformed)
focal_class.return: TsData
focal_class.signature: TsData forecast(int nf, boolean transformed)
focal_class.class_method_signature: PreprocessingModel.backcast(int nb, boolean transformed)
focal_class.full_signature: public TsData backcast(int nb, boolean transformed)
focal_class.identifier: backcast
focal_class.modifiers: public
focal_class.parameters: (int nb, boolean transformed)
focal_class.return: TsData
focal_class.signature: TsData backcast(int nb, boolean transformed)
focal_class.class_method_signature: PreprocessingModel.getDeterministicComponent()
focal_class.full_signature: public DeterministicComponent getDeterministicComponent()
focal_class.identifier: getDeterministicComponent
focal_class.modifiers: public
focal_class.parameters: ()
focal_class.return: DeterministicComponent
focal_class.signature: DeterministicComponent getDeterministicComponent()
focal_class.class_method_signature: PreprocessingModel.getDictionary()
focal_class.full_signature: @Override public Map<String, Class> getDictionary()
focal_class.identifier: getDictionary
focal_class.modifiers: @Override public
focal_class.parameters: ()
focal_class.return: Map<String, Class>
focal_class.signature: Map<String, Class> getDictionary()
focal_class.class_method_signature: PreprocessingModel.getData(String id, Class<T> tclass
      )
focal_class.full_signature: @Override public T getData(String id, Class<T> tclass
      )
focal_class.identifier: getData
focal_class.modifiers: @Override public
focal_class.parameters: (String id, Class<T> tclass
      )
focal_class.return: T
focal_class.signature: T getData(String id, Class<T> tclass
      )
focal_class.class_method_signature: PreprocessingModel.searchAll(String wc, Class<T> tclass
      )
focal_class.full_signature: @Override public Map<String, T> searchAll(String wc, Class<T> tclass
      )
focal_class.identifier: searchAll
focal_class.modifiers: @Override public
focal_class.parameters: (String wc, Class<T> tclass
      )
focal_class.return: Map<String, T>
focal_class.signature: Map<String, T> searchAll(String wc, Class<T> tclass
      )
focal_class.class_method_signature: PreprocessingModel.contains(String id
      )
focal_class.full_signature: @Override public boolean contains(String id
      )
focal_class.identifier: contains
focal_class.modifiers: @Override public
focal_class.parameters: (String id
      )
focal_class.return: boolean
focal_class.signature: boolean contains(String id
      )
focal_class.class_method_signature: PreprocessingModel.getProcessingInformation()
focal_class.full_signature: @Override public List<ProcessingInformation> getProcessingInformation()
focal_class.identifier: getProcessingInformation
focal_class.modifiers: @Override public
focal_class.parameters: ()
focal_class.return: List<ProcessingInformation>
focal_class.signature: List<ProcessingInformation> getProcessingInformation()
focal_class.class_method_signature: PreprocessingModel.fillDictionary(String prefix, Map<String, Class> map, boolean compact)
focal_class.full_signature: public static void fillDictionary(String prefix, Map<String, Class> map, boolean compact)
focal_class.identifier: fillDictionary
focal_class.modifiers: public static
focal_class.parameters: (String prefix, Map<String, Class> map, boolean compact)
focal_class.return: void
focal_class.signature: void fillDictionary(String prefix, Map<String, Class> map, boolean compact)
focal_class.class_method_signature: PreprocessingModel.dictionary(boolean compact)
focal_class.full_signature: public static Map<String, Class> dictionary(boolean compact)
focal_class.identifier: dictionary
focal_class.modifiers: public static
focal_class.parameters: (boolean compact)
focal_class.return: Map<String, Class>
focal_class.signature: Map<String, Class> dictionary(boolean compact)
focal_class.class_method_signature: PreprocessingModel.op(TsData l, TsData r)
focal_class.full_signature: private TsData op(TsData l, TsData r)
focal_class.identifier: op
focal_class.modifiers: private
focal_class.parameters: (TsData l, TsData r)
focal_class.return: TsData
focal_class.signature: TsData op(TsData l, TsData r)
focal_class.class_method_signature: PreprocessingModel.inv_op(TsData l, TsData r)
focal_class.full_signature: private TsData inv_op(TsData l, TsData r)
focal_class.identifier: inv_op
focal_class.modifiers: private
focal_class.parameters: (TsData l, TsData r)
focal_class.return: TsData
focal_class.signature: TsData inv_op(TsData l, TsData r)
focal_class.class_method_signature: PreprocessingModel.getForecastError()
focal_class.full_signature: public TsData getForecastError()
focal_class.identifier: getForecastError
focal_class.modifiers: public
focal_class.parameters: ()
focal_class.return: TsData
focal_class.signature: TsData getForecastError()
focal_class.class_method_signature: PreprocessingModel.getTde(boolean fcast)
focal_class.full_signature: private TsData getTde(boolean fcast)
focal_class.identifier: getTde
focal_class.modifiers: private
focal_class.parameters: (boolean fcast)
focal_class.return: TsData
focal_class.signature: TsData getTde(boolean fcast)
focal_class.class_method_signature: PreprocessingModel.getYcal(boolean fcast)
focal_class.full_signature: private TsData getYcal(boolean fcast)
focal_class.identifier: getYcal
focal_class.modifiers: private
focal_class.parameters: (boolean fcast)
focal_class.return: TsData
focal_class.signature: TsData getYcal(boolean fcast)
focal_class.class_method_signature: PreprocessingModel.getReg(boolean fcast)
focal_class.full_signature: private TsData getReg(boolean fcast)
focal_class.identifier: getReg
focal_class.modifiers: private
focal_class.parameters: (boolean fcast)
focal_class.return: TsData
focal_class.signature: TsData getReg(boolean fcast)
focal_class.class_method_signature: PreprocessingModel.getReg(ComponentType componentType, boolean fcast)
focal_class.full_signature: private TsData getReg(ComponentType componentType, boolean fcast)
focal_class.identifier: getReg
focal_class.modifiers: private
focal_class.parameters: (ComponentType componentType, boolean fcast)
focal_class.return: TsData
focal_class.signature: TsData getReg(ComponentType componentType, boolean fcast)
focal_class.class_method_signature: PreprocessingModel.getOutlier(ComponentType componentType, boolean fcast)
focal_class.full_signature: private TsData getOutlier(ComponentType componentType, boolean fcast)
focal_class.identifier: getOutlier
focal_class.modifiers: private
focal_class.parameters: (ComponentType componentType, boolean fcast)
focal_class.return: TsData
focal_class.signature: TsData getOutlier(ComponentType componentType, boolean fcast)
focal_class.class_method_signature: PreprocessingModel.getOmhe(boolean fcast)
focal_class.full_signature: private TsData getOmhe(boolean fcast)
focal_class.identifier: getOmhe
focal_class.modifiers: private
focal_class.parameters: (boolean fcast)
focal_class.return: TsData
focal_class.signature: TsData getOmhe(boolean fcast)
focal_class.class_method_signature: PreprocessingModel.getMhe(boolean fcast)
focal_class.full_signature: private TsData getMhe(boolean fcast)
focal_class.identifier: getMhe
focal_class.modifiers: private
focal_class.parameters: (boolean fcast)
focal_class.return: TsData
focal_class.signature: TsData getMhe(boolean fcast)
focal_class.class_method_signature: PreprocessingModel.getEe(boolean fcast)
focal_class.full_signature: private TsData getEe(boolean fcast)
focal_class.identifier: getEe
focal_class.modifiers: private
focal_class.parameters: (boolean fcast)
focal_class.return: TsData
focal_class.signature: TsData getEe(boolean fcast)
focal_class.class_method_signature: PreprocessingModel.getDet(boolean fcast)
focal_class.full_signature: private TsData getDet(boolean fcast)
focal_class.identifier: getDet
focal_class.modifiers: private
focal_class.parameters: (boolean fcast)
focal_class.return: TsData
focal_class.signature: TsData getDet(boolean fcast)
focal_class.class_method_signature: PreprocessingModel.getCal(boolean fcast)
focal_class.full_signature: private TsData getCal(boolean fcast)
focal_class.identifier: getCal
focal_class.modifiers: private
focal_class.parameters: (boolean fcast)
focal_class.return: TsData
focal_class.signature: TsData getCal(boolean fcast)
focal_class.class_method_signature: PreprocessingModel.getRmde(boolean fcast)
focal_class.full_signature: private TsData getRmde(boolean fcast)
focal_class.identifier: getRmde
focal_class.modifiers: private
focal_class.parameters: (boolean fcast)
focal_class.return: TsData
focal_class.signature: TsData getRmde(boolean fcast)
focal_class.class_method_signature: PreprocessingModel.getForecastCount()
focal_class.full_signature: private int getForecastCount()
focal_class.identifier: getForecastCount
focal_class.modifiers: private
focal_class.parameters: ()
focal_class.return: int
focal_class.signature: int getForecastCount()
focal_class.class_method_signature: PreprocessingModel.domain(boolean fcast)
focal_class.full_signature: private TsDomain domain(boolean fcast)
focal_class.identifier: domain
focal_class.modifiers: private
focal_class.parameters: (boolean fcast)
focal_class.return: TsDomain
focal_class.signature: TsDomain domain(boolean fcast)
focal_class.class_method_signature: PreprocessingModel.getFullResiduals()
focal_class.full_signature: public TsData getFullResiduals()
focal_class.identifier: getFullResiduals
focal_class.modifiers: public
focal_class.parameters: ()
focal_class.return: TsData
focal_class.signature: TsData getFullResiduals()
focal_class.class_method_signature: PreprocessingModel.vars()
focal_class.full_signature: private TsVariableList vars()
focal_class.identifier: vars
focal_class.modifiers: private
focal_class.parameters: ()
focal_class.return: TsVariableList
focal_class.signature: TsVariableList vars()
focal_class.class_method_signature: PreprocessingModel.isMultiplicative()
focal_class.full_signature: public boolean isMultiplicative()
focal_class.identifier: isMultiplicative
focal_class.modifiers: public
focal_class.parameters: ()
focal_class.return: boolean
focal_class.signature: boolean isMultiplicative()
focal_class.class_method_signature: PreprocessingModel.getFrequency()
focal_class.full_signature: public TsFrequency getFrequency()
focal_class.identifier: getFrequency
focal_class.modifiers: public
focal_class.parameters: ()
focal_class.return: TsFrequency
focal_class.signature: TsFrequency getFrequency()
focal_class.class_method_signature: PreprocessingModel.getRegressionItem(Class<V> tclass, int vpos)
focal_class.full_signature: public RegressionItem getRegressionItem(Class<V> tclass, int vpos)
focal_class.identifier: getRegressionItem
focal_class.modifiers: public
focal_class.parameters: (Class<V> tclass, int vpos)
focal_class.return: RegressionItem
focal_class.signature: RegressionItem getRegressionItem(Class<V> tclass, int vpos)
focal_class.class_method_signature: PreprocessingModel.getMapping()
focal_class.full_signature: public static InformationMapping<PreprocessingModel> getMapping()
focal_class.identifier: getMapping
focal_class.modifiers: public static
focal_class.parameters: ()
focal_class.return: InformationMapping<PreprocessingModel>
focal_class.signature: InformationMapping<PreprocessingModel> getMapping()
focal_class.class_method_signature: PreprocessingModel.setMapping(String name, Class<T> tclass, Function<PreprocessingModel, T> extractor)
focal_class.full_signature: public static void setMapping(String name, Class<T> tclass, Function<PreprocessingModel, T> extractor)
focal_class.identifier: setMapping
focal_class.modifiers: public static
focal_class.parameters: (String name, Class<T> tclass, Function<PreprocessingModel, T> extractor)
focal_class.return: void
focal_class.signature: void setMapping(String name, Class<T> tclass, Function<PreprocessingModel, T> extractor)
focal_class.class_method_signature: PreprocessingModel.setTsData(String name, Function<PreprocessingModel, TsData> extractor)
focal_class.full_signature: public static void setTsData(String name, Function<PreprocessingModel, TsData> extractor)
focal_class.identifier: setTsData
focal_class.modifiers: public static
focal_class.parameters: (String name, Function<PreprocessingModel, TsData> extractor)
focal_class.return: void
focal_class.signature: void setTsData(String name, Function<PreprocessingModel, TsData> extractor)
focal_class.class_method_signature: PreprocessingModel.nperiods(PreprocessingModel m, int n)
focal_class.full_signature: private static int nperiods(PreprocessingModel m, int n)
focal_class.identifier: nperiods
focal_class.modifiers: private static
focal_class.parameters: (PreprocessingModel m, int n)
focal_class.return: int
focal_class.signature: int nperiods(PreprocessingModel m, int n)
focal_method.body: public static Map<String, Class> dictionary(boolean compact) {
          LinkedHashMap<String, Class> map = new LinkedHashMap<>();
          fillDictionary(null, map, compact);
          return map;
      }
focal_method.class_method_signature: PreprocessingModel.dictionary(boolean compact)
focal_method.full_signature: public static Map<String, Class> dictionary(boolean compact)
focal_method.identifier: dictionary
focal_method.invocations: fillDictionary
focal_method.modifiers: public static
focal_method.parameters: (boolean compact)
focal_method.return: Map<String, Class>
focal_method.signature: Map<String, Class> dictionary(boolean compact)