Best Keploy code snippet using regression.UpdateTC
regression.go
Source: regression.go
...118 return nil, errors.New("internal failure")119 }120 return tcs, nil121}122func (r *Regression) UpdateTC(ctx context.Context, t []models.TestCase) error {123 for _, v := range t {124 err := r.tdb.UpdateTC(ctx, v)125 if err != nil {126 r.log.Error("failed to insert testcase into DB", zap.String("appID", v.AppID), zap.Error(err))127 return errors.New("internal failure")128 }129 }130 r.tele.EditTc(r.client, ctx)131 return nil132}133func (r *Regression) putTC(ctx context.Context, cid string, t models.TestCase) (string, error) {134 t.CID = cid135 var err error136 if r.EnableDeDup {137 // check if already exists138 dup, err := r.isDup(ctx, &t)...
service.go
Source: service.go
...10 Put(ctx context.Context, cid string, t []models.TestCase) ([]string, error)11 DeNoise(ctx context.Context, cid, id, app, body string, h http.Header) error12 Test(ctx context.Context, cid, app, runID, id string, resp models.HttpResp) (bool, error)13 GetApps(ctx context.Context, cid string) ([]string, error)14 UpdateTC(ctx context.Context, t []models.TestCase) error15 DeleteTC(ctx context.Context, cid, id string) error16}...
UpdateTC
Using AI Code Generation
1import (2func main() {3 r := new(regression.Regression)4 r.SetObserved("Y")5 r.SetVar(0, "X")6 r.Train(7 regression.DataPoint(2.0, []float64{1.0}, []string{"A"}),8 regression.DataPoint(3.0, []float64{2.0}, []string{"B"}),9 regression.DataPoint(4.0, []float64{3.0}, []string{"C"}),10 r.UpdateTC(0, "A", 0.0)11 r.UpdateTC(0, "B", 1.0)12 r.UpdateTC(0, "C", 2.0)13 fmt.Printf("Regression Formula:\n%v14 fmt.Printf("R2: %v15}16import (17func main() {18 r := new(regression.Regression)19 r.SetObserved("Y")20 r.SetVar(0, "X")21 r.Train(22 regression.DataPoint(2.0, []float64{1.0}, []string{"A"}),23 regression.DataPoint(3.0, []float64{2.0}, []string{"B"}),24 regression.DataPoint(4.0, []float64{3.0}, []string{"C"}),25 r.UpdateTC(0, "A", 0.0)26 r.UpdateTC(0, "B", 1.0)27 r.UpdateTC(0, "C", 2.0)28 fmt.Printf("Regression Formula:29 fmt.Printf("R2: %v30}
UpdateTC
Using AI Code Generation
1import (2func main() {3 r := new(regression.Regression)4 r.SetObserved("Y")5 r.SetVar(0, "X")6 r.Train(regression.Data{7 {Y: 10, X: 0},8 {Y: 20, X: 1},9 {Y: 30, X: 2},10 {Y: 40, X: 3},11 })12 r.UpdateTC(0, 1, 1)13 r.Run()14 fmt.Printf("Regression formula: %v15 fmt.Printf("Regression:\n%v16}17 Y (dependent)18X (1 independent):19 Y (dependent)20X (1 independent):21 Y (dependent)22X (1 independent):23 Y (dependent)24X (1 independent):
UpdateTC
Using AI Code Generation
1import (2func main() {3 r.SetObserved("Y")4 r.SetVar(0, "X")5 r.Train(regression.Data{6 {X: []float64{1}, Y: 10},7 {X: []float64{2}, Y: 20},8 {X: []float64{3}, Y: 30},9 {X: []float64{4}, Y: 40},10 {X: []float64{5}, Y: 50},11 {X: []float64{6}, Y: 60},12 {X: []float64{7}, Y: 70},13 {X: []float64{8}, Y: 80},14 {X: []float64{9}, Y: 90},15 {X: []float64{10}, Y: 100},16 })17 r.Run()18 fmt.Printf("Regression Formula: %v19 fmt.Printf("Regression Formula: %v20 fmt.Printf("Regression Formula: %v21", r.Coeff(0))22 fmt.Printf("Regression Formula: %v23", r.Coeff(1))24 fmt.Printf("Regression Formula: %v25", r.Coeff(2))26 fmt.Printf("Regression Formula: %v27", r.Coeff(3))28 fmt.Printf("Regression Formula: %v29", r.Coeff(4))30 fmt.Printf("Regression Formula: %v31", r.Coeff(5))32 fmt.Printf("Regression Formula: %v33", r.Coeff(6))34 fmt.Printf("Regression Formula: %v35", r.Coeff(7))36 fmt.Printf("Regression Formula: %v37", r.Coeff(8))38 fmt.Printf("Regression Formula: %v39", r.Coeff(9))40 fmt.Printf("Regression Formula: %v41", r.Coeff(10))42 r.UpdateTC(1, 11)43 r.UpdateTC(2, 21)44 r.UpdateTC(3, 31)45 r.UpdateTC(4, 41)46 r.UpdateTC(5, 51)47 r.UpdateTC(6, 61)48 r.UpdateTC(7, 71)49 r.UpdateTC(8, 81)50 r.UpdateTC(9,
UpdateTC
Using AI Code Generation
1import (2func main() {3 r.SetObserved("Y")4 r.SetVar(0, "X")5 r.Train(regression.DataPoint(2.5, []float64{1}, []string{"X"}))6 r.Train(regression.DataPoint(0.5, []float64{2}, []string{"X"}))7 r.Train(regression.DataPoint(2.2, []float64{3}, []string{"X"}))8 r.Train(regression.DataPoint(0.9, []float64{4}, []string{"X"}))9 r.Train(regression.DataPoint(3.0, []float64{5}, []string{"X"}))10 r.Run()11 fmt.Printf("\nRegression Formula:\n")12 fmt.Printf("%v\n", r.Formula)13 r.UpdateTC(regression.DataPoint(2.1, []float64{6}, []string{"X"}))14 fmt.Printf("\nRegression Formula:\n")15 fmt.Printf("%v\n", r.Formula)16}
UpdateTC
Using AI Code Generation
1import (2func main() {3 x := []float64{1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0}4 y := []float64{2.0, 4.0, 6.0, 8.0, 10.0, 12.0, 14.0, 16.0, 18.0, 20.0}5 reg.SetObserved("x", x)6 reg.SetObserved("y", y)7 dist := distuv.Normal{8 }9 for i := 0; i < 10; i++ {10 x = append(x, float64(i+11))11 y = append(y, 2*float64(i+11))12 reg.SetObserved("x", x)13 reg.SetObserved("y", y)14 reg.UpdateTC(dist)15 }16 const (17 fmt.Printf("coeff: %v18", reg.Coeff(coeffName))19 fmt.Printf("intercept: %v20", reg.Coeff(intercept))21 fmt.Printf("std err: %v22", reg.StdErr(coeffName))23 fmt.Printf("t stat: %v24", reg.TStat(coeffName))25 fmt.Printf("p value: %v26", reg.PValue(coeffName))27 fmt.Printf("r2: %v28", reg.R2())29 fmt.Printf("f stat: %v30", reg.FStat())31 fmt.Printf("r2 adj: %v32", reg.R2Adj())33}
UpdateTC
Using AI Code Generation
1import (2func main() {3 x := []float64{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}4 y := []float64{1, 3, 2, 5, 7, 8, 8, 9, 10, 12}5 reg := stat.Regression{}6 reg.Fit(x, y)7 fmt.Printf("Y = %0.2f + %0.2f X8 fmt.Printf("Correlation = %0.2f9 fmt.Printf("Y-intercept = %0.2f10 fmt.Printf("Slope = %0.2f11 fmt.Printf("Standard error = %0.2f12 fmt.Printf("Standard error of the slope = %0.2f13 fmt.Printf("Standard error of the y-intercept = %0.2f14 fmt.Printf("t-statistic of the y-intercept = %0.2f15 fmt.Printf("t-statistic of the slope = %0.2f16 fmt.Printf("p-value of the y-intercept = %0.2f17 fmt.Printf("p-value of the slope = %0.2f18 fmt.Printf("F-statistic = %0.2
UpdateTC
Using AI Code Generation
1import (2func main() {3 r.SetObserved("Y")4 r.SetVar(0, "X")5 r.Train(regression.DataPoint(0.0, []float64{1.0}))6 r.Train(regression.DataPoint(0.0, []float64{1.0}))7 r.Train(regression.DataPoint(0.0, []float64{1.0}))8 r.Train(regression.DataPoint(0.0, []float64{1.0}))9 r.Train(regression.DataPoint(0.0, []float64{1.0}))10 r.Train(regression.DataPoint(0.0, []float64{1.0}))11 r.Train(regression.DataPoint(0.0, []float64{1.0}))12 r.Train(regression.DataPoint(0.0, []float64{1.0}))13 r.Train(regression.DataPoint(0.0, []float64{1.0}))14 r.Train(regression.DataPoint(0.0, []float64{1.0}))15 r.Train(regression.DataPoint(0.0, []float64{1.0}))16 r.Train(regression.DataPoint(0.0, []float64{1.0}))17 r.Run()18 fmt.Printf("Regression Formula: %v19 fmt.Printf("Regression Formula: %v20", r.Coeff(0))21 fmt.Printf("Regression Formula: %v22", r.Coeff(1))23 fmt.Printf("Regression Formula: %v24", r.Coeff(2))25 fmt.Printf("Regression Formula: %v26", r.Coeff(3))27 fmt.Printf("Regression Formula: %v28", r.Coeff(4))29 fmt.Printf("Regression Formula: %v30", r.Coeff(5))31 fmt.Printf("Regression Formula: %v32", r.Coeff(6))33 fmt.Printf("Regression Formula: %v34", r.Coeff(7))35 fmt.Printf("Regression Formula: %v36", r.Coeff(8))37 fmt.Printf("Regression Formula: %v
UpdateTC
Using AI Code Generation
1import (2func main() {3 r := num.NewRegression(2)4 r.Add(1, 1, 1)5 r.Add(2, 2, 4)6 r.Add(3, 3, 9)7 r.Add(4, 4, 16)8 r.Add(5, 5, 25)9 r.UpdateTC(func(p []float64) float64 {10 for i := 0; i < r.N(); i++ {11 x, y, z := r.Get(i)12 sum += (model - y) * (model - y)13 }14 })15 p := r.Params()16 fmt.Println(p)17}
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