Home
last modified time | relevance | path

Searched refs:Regression (Results 1 – 25 of 2727) sorted by relevance

12345678910>>...110

/dports/math/zegrapher/ZeGrapher-6832bd61291b3e82bc05233ae74e8d7556abe910/Calculus/
H A Dregression.cpp27 Regression::Regression() in Regression() function in Regression
34 QList<Point> Regression::getData() in getData()
49 QString Regression::getAbscissaName() in getAbscissaName()
54 QString Regression::getOrdinateName() in getOrdinateName()
59 void Regression::setPolar(bool state) in setPolar()
82 bool Regression::isPolar() in isPolar()
87 bool Regression::getDrawState() in getDrawState()
92 int Regression::getDataNum() in getDataNum()
97 Range Regression::getDrawRange() in getDrawRange()
102 QColor Regression::getColor() in getColor()
[all …]
/dports/math/openturns/openturns-1.18/python/test/
H A Dt_LinearModelTest_std.expout4 …Regression binaryQualityMeasure=false p-value threshold=0.1 p-value=6.80062e-05 statistic=4.16127 …
5 …Regression binaryQualityMeasure=false p-value threshold=0.1 p-value=6.80062e-05 statistic=4.16127 …
6 …Regression binaryQualityMeasure=false p-value threshold=0.1 p-value=0.00448478 statistic=2.91205 d…
7 …Regression binaryQualityMeasure=false p-value threshold=0.1 p-value=4.75917e-14 statistic=8.93241 …
/dports/math/openturns/openturns-1.18/lib/test/
H A Dt_LinearModelTest_std.expout3 …Regression binaryQualityMeasure=false p-value threshold=0.1 p-value=6.80062e-05 statistic=4.16127 …
4 …Regression binaryQualityMeasure=false p-value threshold=0.1 p-value=6.80062e-05 statistic=4.16127 …
5 …Regression binaryQualityMeasure=false p-value threshold=0.1 p-value=0.00448478 statistic=2.91205 d…
6 …Regression binaryQualityMeasure=false p-value threshold=0.1 p-value=4.88766e-08 statistic=5.95788 …
/dports/graphics/dataplot/dataplot-2c1b27601a3b7523449de612613eadeead9a8f70/lib/frmenus/fit/
H A Dbymodel.top7 Linear Regression <~fit\linreg.top>
8 Polynomial Regression <~fit\polyreg.top>
9 Rational Function Regression <~fit\ratfreg.top>
10 Spline Regression <~fit\splinreg.top>
11 Non-Linear Regression <~fit\nlreg.top>
13 Multiple Regression <~fit\multreg.top>
14 | Partial Least Squares Regression (PLS) <~fit\plsreg.top>
15 | Principle Components Regression (PCR) <~fit\pcreg.top>
16 | Neural Net Regression (NNR) <~fit\nnreg.top>
17 | Ridge Regression (RR) <~fit\rreg.top>
[all …]
H A Ddata1var.top5 Linear Regression <~fit\linreg.top>
6 Quadratic Regression <~fit\quadreg.top>
7 Polynomial Regression <~fit\polyreg.top>
8 Rational Function Regression <~fit\ratfreg.top>
9 Spline Regression <~fit\splinreg.top>
10 Lowess Regression <~fit\lowess.top>
11 Non-Linear Regression <~fit\nlreg.top>
H A Dreferenc.top5 Draper and Smith, "Applied Regression Analysis",
11 Mosteller and Tukey, "Data Analysis and Regression",
14 Hamilton, "Regression Graphics", Duxbury, 1992.
16 Belsley, Kuh, and Welsch, "Regression Diagnostics",
20 Regression", Chapman and Hall, 1982.
22 "Plots, Transformations, and Regression: An
24 Regression Analysis", Atkinson, Oxford University
/dports/math/saga/saga-8.1.3/saga-gis/src/tools/statistics/statistics_regression/
H A Dgrid_multi_grid_regression.cpp207 CSG_Regression_Multiple Regression; in On_Execute() local
219 Message_Add(Regression.Get_Info(), false); in On_Execute()
239 if( CrossVal > 0 && Regression.Get_CrossValidation(CrossVal) ) in On_Execute()
273 Set_Regression(pRegression, pPredictors, Regression); in On_Execute()
351 for(int i=0; i<Regression.Get_nPredictors(); i++) in Set_Regression()
353 if( Regression.Get_Predictor(i) < pPredictors->Get_Grid_Count() ) in Set_Regression()
355 Grids += pPredictors->Get_Grid(Regression.Get_Predictor(i)); in Set_Regression()
382 double z = Regression.Get_RConst(), pz; in Set_Regression()
390 z += Regression.Get_RCoeff(i) * pz; in Set_Regression()
399 z += Regression.Get_RCoeff(xCoord) * px; in Set_Regression()
[all …]
H A Dtable_regression_multiple.cpp279 CSG_Regression_Multiple Regression; in On_Execute() local
291 Message_Add(Regression.Get_Info(), false); in On_Execute()
304 if( CrossVal > 0 && Regression.Get_CrossValidation(CrossVal) ) in On_Execute()
308 Message_Fmt("\n\t%s:\t%d" , _TL("Samples"), Regression.Get_CV_nSamples() ); in On_Execute()
309 Message_Fmt("\n\t%s:\t%f" , _TL("RMSE" ), Regression.Get_CV_RMSE() ); in On_Execute()
310 Message_Fmt("\n\t%s:\t%.2f", _TL("NRMSE" ), Regression.Get_CV_NRMSE() * 100.); in On_Execute()
317 Parameters("INFO_COEFF")->asTable()->Assign(Regression.Get_Info_Regression()); in On_Execute()
323 Parameters("INFO_MODEL")->asTable()->Assign(Regression.Get_Info_Model()); in On_Execute()
329 Parameters("INFO_STEPS")->asTable()->Assign(Regression.Get_Info_Steps()); in On_Execute()
346 double z = Regression.Get_RConst(); in On_Execute()
[all …]
/dports/misc/py-xgboost/xgboost-1.5.1/jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/
H A DXGBoostRegressorSuite.scala32 val testDM = new DMatrix(Regression.test.iterator)
33 val trainingDF = buildDataFrame(Regression.train)
34 val testDF = buildDataFrame(Regression.test)
40 val testDM = new DMatrix(Regression.test.iterator)
86 val testDF = buildDataFrame(Regression.test)
140 val testDF = buildDataFrame(Regression.test)
153 val testDF = buildDataFrame(Regression.test)
168 val testDF = buildDataFrame(Regression.test)
181 val testDF = buildDataFrame(Regression.test)
196 val testDF = buildDataFrame(Regression.test)
[all …]
/dports/misc/xgboost/xgboost-1.5.1/jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/
H A DXGBoostRegressorSuite.scala32 val testDM = new DMatrix(Regression.test.iterator)
33 val trainingDF = buildDataFrame(Regression.train)
34 val testDF = buildDataFrame(Regression.test)
40 val testDM = new DMatrix(Regression.test.iterator)
86 val testDF = buildDataFrame(Regression.test)
140 val testDF = buildDataFrame(Regression.test)
153 val testDF = buildDataFrame(Regression.test)
168 val testDF = buildDataFrame(Regression.test)
181 val testDF = buildDataFrame(Regression.test)
196 val testDF = buildDataFrame(Regression.test)
[all …]
/dports/math/pspp/pspp-1.4.1/tests/utilities/
H A Dpspp-output.at18 - heading "Regression" command "Regression"
20 - table "ANOVA (v2)" command "Regression" subtype "ANOVA"
34 - heading "Regression" command "Regression"
49 - table "ANOVA (v2)" command "Regression" subtype "ANOVA"
57 - heading "Regression" command "Regression"
59 - table "ANOVA (v2)" command "Regression" subtype "ANOVA"
105 - heading "Regression" command "Regression"
107 - table "ANOVA (v2)" command "Regression" subtype "ANOVA"
135 - heading "Regression" command "Regression"
137 - table "ANOVA (v2)" command "Regression" subtype "ANOVA"
[all …]
/dports/graphics/dataplot/dataplot-2c1b27601a3b7523449de612613eadeead9a8f70/lib/frmenus/dataloex/
H A Dgrayiye1.top1 ----- <~dataloex\grayiye1.top> Graybill/Iyer I: Regression
3 Graybill/Iyer I: Regression
8 2. Regression and Prediction <~dataloex/gra1ch2.top>
9 3. Straight Line Regression <~dataloex/gra1ch3.top>
10 4. Multiple Linear Regression <~dataloex/gra1ch4.top>
12 6. Applications of Regression I <~dataloex/gra1ch6.top>
13 7. Applications of Regression II <~dataloex/gra1ch7.top>
15 9. Nonlinear Regression <~dataloex/gra1ch9.top>
/dports/graphics/dataplot/dataplot-2c1b27601a3b7523449de612613eadeead9a8f70/lib/frmenus/dataview/
H A Dgrayiye1.top1 ----- <~dataview\grayiye1.top> Graybill/Iyer I: Regression
3 Graybill/Iyer I: Regression
8 2. Regression and Prediction <~dataview/gra1ch2.top>
9 3. Straight Line Regression <~dataview/gra1ch3.top>
10 4. Multiple Linear Regression <~dataview/gra1ch4.top>
12 6. Applications of Regression I <~dataview/gra1ch6.top>
13 7. Applications of Regression II <~dataview/gra1ch7.top>
15 9. Nonlinear Regression <~dataview/gra1ch9.top>
/dports/graphics/dataplot/dataplot-2c1b27601a3b7523449de612613eadeead9a8f70/lib/frmenus/dataload/
H A Dgrayiye1.top1 ----- <~dataload\grayiye1.top> Graybill/Iyer I: Regression
3 Graybill/Iyer I: Regression
8 2. Regression and Prediction <~dataload/gra1ch2.top>
9 3. Straight Line Regression <~dataload/gra1ch3.top>
10 4. Multiple Linear Regression <~dataload/gra1ch4.top>
12 6. Applications of Regression I <~dataload/gra1ch6.top>
13 7. Applications of Regression II <~dataload/gra1ch7.top>
15 9. Nonlinear Regression <~dataload/gra1ch9.top>
/dports/graphics/dataplot/dataplot-2c1b27601a3b7523449de612613eadeead9a8f70/lib/frmenus/dataall/
H A Dgrayiye1.top1 ----- <~dataall\grayiye1.top> Graybill/Iyer I: Regression
3 Graybill/Iyer I: Regression
8 2. Regression and Prediction <~dataall/gra1ch2.top>
9 3. Straight Line Regression <~dataall/gra1ch3.top>
10 4. Multiple Linear Regression <~dataall/gra1ch4.top>
12 6. Applications of Regression I <~dataall/gra1ch6.top>
13 7. Applications of Regression II <~dataall/gra1ch7.top>
15 9. Nonlinear Regression <~dataall/gra1ch9.top>
/dports/graphics/dataplot/dataplot-2c1b27601a3b7523449de612613eadeead9a8f70/lib/frmenus/dataprin/
H A Dgrayiye1.top1 ----- <~dataprin\grayiye1.top> Graybill/Iyer I: Regression
3 Graybill/Iyer I: Regression
8 2. Regression and Prediction <xcf: ~dataprin/gra1ch2.DP>
9 3. Straight Line Regression <xcf: ~dataprin/gra1ch3.DP>
10 4. Multiple Linear Regression <xcf: ~dataprin/gra1ch4.DP>
12 6. Applications of Regression I <xcf: ~dataprin/gra1ch6.DP>
13 7. Applications of Regression II <xcf: ~dataprin/gra1ch7.DP>
15 9. Nonlinear Regression <xcf: ~dataprin/gra1ch9.DP>
/dports/graphics/dataplot/dataplot-2c1b27601a3b7523449de612613eadeead9a8f70/lib/frmenus/dataexec/
H A Dgrayiye1.top1 ----- <~dataexec\grayiye1.top> Graybill/Iyer I: Regression
3 Graybill/Iyer I: Regression
8 2. Regression and Prediction <xcf: ~dataexec/gra1ch2.DP>
9 3. Straight Line Regression <xcf: ~dataexec/gra1ch3.DP>
10 4. Multiple Linear Regression <xcf: ~dataexec/gra1ch4.DP>
12 6. Applications of Regression I <xcf: ~dataexec/gra1ch6.DP>
13 7. Applications of Regression II <xcf: ~dataexec/gra1ch7.DP>
15 9. Nonlinear Regression <xcf: ~dataexec/gra1ch9.DP>
/dports/audio/audacity/audacity-Audacity-3.1.3/lib-src/libscorealign/
H A Dregression.cpp6 Regression::Regression() in Regression() function in Regression
11 void Regression::init() in init()
21 void Regression::point(float x, float y) in point()
31 void Regression::regress() in regress()
40 float Regression::f(float x) in f()
46 float Regression::f_inv(float y) in f_inv()
/dports/sysutils/bacula9-docs/bacula-docs-9.6.7/manuals/en/pdf-and-html/developers/
H A Dregression.aux3 \@writefile{toc}{\contentsline {chapter}{\numberline {13}Bacula Regression Testing}{95}{chapter.13}}
6 \newlabel{TheChapterStart8}{{13}{95}{Bacula Regression Testing}{chapter.13}{}}
7 \@writefile{default}{\indexentry{Testing!Bacula Regression}{95}}
8 \@writefile{default}{\indexentry{Bacula Regression Testing}{95}}
9 \@writefile{toc}{\contentsline {section}{Bacula Regression Testing}{95}{section*.52}}
12 \@writefile{toc}{\contentsline {section}{Setting up Regression Testing}{95}{section.13.1}}
13 \@writefile{default}{\indexentry{Script!Running the Regression}{95}}
27 \@writefile{default}{\indexentry{Regression!Running the Disk Only}{98}}
28 \@writefile{default}{\indexentry{Running the Disk Only Regression}{98}}
48 \@writefile{default}{\indexentry{Test!Writing a Regression}{101}}
[all …]
/dports/net-mgmt/bosun/bosun-0.9.0-preview/vendor/github.com/GaryBoone/GoStats/stats/
H A Dregression.go27 type Regression struct { struct
37 func (r *Regression) Count() int { argument
41 func (r *Regression) Size() int { argument
52 func (r *Regression) Update(x, y float64) { argument
62 func (r *Regression) UpdateArray(xData, yData []float64) { argument
71 func (r *Regression) Slope() float64 { argument
77 func (r *Regression) Intercept() float64 { argument
81 func (r *Regression) RSquared() float64 { argument
88 func (r *Regression) SlopeStandardError() float64 { argument
99 func (r *Regression) InterceptStandardError() float64 { argument
[all …]
/dports/lang/mono/mono-5.10.1.57/acceptance-tests/
H A Dcoreclr.mk903 $(CORECLR_PATH)/tests/src/JIT/Regression/Dev11/Dev11_5437/Dev11_5437.cs \
908 $(CORECLR_PATH)/tests/src/JIT/Regression/Dev11/dev10_94677/loopvt.cs \
909 $(CORECLR_PATH)/tests/src/JIT/Regression/Dev11/dev11_13912/dev11_13912.cs \
910 $(CORECLR_PATH)/tests/src/JIT/Regression/Dev11/dev11_165544/seqpts.cs \
919 $(CORECLR_PATH)/tests/src/JIT/Regression/VS-ia64-JIT/M00/b103846/d.cs \
922 $(CORECLR_PATH)/tests/src/JIT/Regression/VS-ia64-JIT/M00/b119026/bug.cs \
924 $(CORECLR_PATH)/tests/src/JIT/Regression/VS-ia64-JIT/M00/b140298/test.cs \
925 $(CORECLR_PATH)/tests/src/JIT/Regression/VS-ia64-JIT/M00/b141358/test.cs \
926 $(CORECLR_PATH)/tests/src/JIT/Regression/VS-ia64-JIT/M00/b99219/b99219.cs \
4878 $(CORECLR_PATH)/tests/src/JIT/Regression/VS-ia64-JIT/M00/b103838/c.il \
[all …]
H A DMakefile.in1248 $(CORECLR_PATH)/tests/src/JIT/Regression/Dev11/Dev11_5437/Dev11_5437.cs \
1253 $(CORECLR_PATH)/tests/src/JIT/Regression/Dev11/dev10_94677/loopvt.cs \
1254 $(CORECLR_PATH)/tests/src/JIT/Regression/Dev11/dev11_13912/dev11_13912.cs \
1255 $(CORECLR_PATH)/tests/src/JIT/Regression/Dev11/dev11_165544/seqpts.cs \
1264 $(CORECLR_PATH)/tests/src/JIT/Regression/VS-ia64-JIT/M00/b103846/d.cs \
1267 $(CORECLR_PATH)/tests/src/JIT/Regression/VS-ia64-JIT/M00/b119026/bug.cs \
1269 $(CORECLR_PATH)/tests/src/JIT/Regression/VS-ia64-JIT/M00/b140298/test.cs \
1270 $(CORECLR_PATH)/tests/src/JIT/Regression/VS-ia64-JIT/M00/b141358/test.cs \
1271 $(CORECLR_PATH)/tests/src/JIT/Regression/VS-ia64-JIT/M00/b99219/b99219.cs \
5231 $(CORECLR_PATH)/tests/src/JIT/Regression/VS-ia64-JIT/M00/b103838/c.il \
[all …]
/dports/www/carbonapi/carbonapi-0.14.1/vendor/github.com/dgryski/go-onlinestats/
H A Dstats.go88 type Regression struct { struct
95 func NewRegression() *Regression {
96 return &Regression{}
99 func (r *Regression) Push(x, y float64) { argument
107 func (r *Regression) Len() int { argument
111 func (r *Regression) Slope() float64 { argument
116 func (r *Regression) Intercept() float64 { argument
120 func (r *Regression) Correlation() float64 { argument
125 func CombineRegressions(a, b Regression) *Regression { argument
126 var combined Regression
/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/muq2/modules/Approximation/src/Regression/
H A DRegression.cpp18 Regression::Regression(pt::ptree const& pt) : WorkPiece(), order(pt.get<unsigned int>("Order")), in… in Regression() function in Regression
61 void Regression::EvaluateImpl(ref_vector<boost::any> const& inputs) { in EvaluateImpl()
83 int Regression::NumInterpolationPoints() const { in NumInterpolationPoints()
109 void Regression::Fit(std::vector<Eigen::VectorXd> const& xs, std::vector<Eigen::VectorXd> const& ys… in Fit()
157 Eigen::MatrixXd Regression::VandermondeMatrix(std::vector<Eigen::VectorXd> const& xs) const { in VandermondeMatrix()
189 Eigen::ArrayXd Regression::CenterPoints(std::vector<Eigen::VectorXd>& xs, Eigen::VectorXd const& ce… in CenterPoints()
216 Eigen::ArrayXd Regression::CenterPoints(std::vector<Eigen::VectorXd>& xs) { in CenterPoints()
295 double Regression::PoisednessCost::CostImpl(ref_vector<Eigen::VectorXd> const& input) { in CostImpl()
339 Regression::PoisednessConstraint::PoisednessConstraint(unsigned int const inDim, double const alpha… in PoisednessConstraint()
342 void Regression::PoisednessConstraint::EvaluateImpl(ref_vector<Eigen::VectorXd> const& input) { in EvaluateImpl()
[all …]
/dports/sysutils/bacula11-docs/bacula-docs-11.0.5/manuals/en/developers/
H A Dregression.aux6 \@writefile{lof}{\contentsline {xchapter}{Bacula{} Regression Testing}{113}{chapter.13}\protected@f…
7 \@writefile{lot}{\contentsline {xchapter}{Bacula{} Regression Testing}{113}{chapter.13}\protected@f…
8 \newlabel{blb:TheChapterStart8}{{13}{113}{\bacula {} Regression Testing}{chapter.13}{}}
9 \@writefile{default}{\indexentry{Testing!\bacula{} Regression}{113}}
10 \@writefile{default}{\indexentry{\bacula{} Regression Testing}{113}}
15 \@writefile{default}{\indexentry{Running the Regression Script}{113}}
16 \@writefile{default}{\indexentry{Script!Running the Regression}{113}}
29 \@writefile{default}{\indexentry{Regression!Running the Disk Only}{115}}
30 \@writefile{default}{\indexentry{Running the Disk Only Regression}{115}}
46 \@writefile{default}{\indexentry{Test!Writing a Regression}{118}}
[all …]

12345678910>>...110