How to use UpdateTC method of regression Package

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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