How to use Bind method of regression Package

Best Keploy code snippet using regression.Bind

strategy.go

Source:strategy.go

...119	iw := types.IntervalWindow{Window: 50, Interval: s.Interval}120	// construct CORR indicator121	s.pvDivergence = &Correlation{IntervalWindow: iw}122	// bind indicator to the data store, so that our callback could be triggered123	s.pvDivergence.Bind(st)124	// s.pvDivergence.OnUpdate(func(corr float64) {125	//	//fmt.Printf("now we've got corr: %f\n", corr)126	// })127	windowSize := 360 / s.Interval.Minutes()128	if windowSize == 0 {129		windowSize = 3130	}131	drift := &indicator.Drift{IntervalWindow: types.IntervalWindow{Window: windowSize, Interval: s.Interval}}132	drift.Bind(st)133	s.Alpha = [][]float64{{}, {}, {}, {}, {}, {}}134	s.Ret = []float64{}135	// thetas := []float64{0, 0, 0, 0}136	preCompute := 0137	s.activeMakerOrders = bbgo.NewActiveOrderBook(s.Symbol)138	s.activeMakerOrders.BindStream(session.UserDataStream)139	s.orderStore = bbgo.NewOrderStore(s.Symbol)140	s.orderStore.BindStream(session.UserDataStream)141	if s.Position == nil {142		s.Position = types.NewPositionFromMarket(s.Market)143	}144	s.tradeCollector = bbgo.NewTradeCollector(s.Symbol, s.Position, s.orderStore)145	s.tradeCollector.BindStream(session.UserDataStream)146	session.UserDataStream.OnStart(func() {147		log.Infof("connected")148	})149	s.T = 20150	session.MarketDataStream.OnKLineClosed(func(kline types.KLine) {151		if kline.Symbol != s.Symbol || kline.Interval != s.Interval {152			return153		}154		if err := s.activeMakerOrders.GracefulCancel(ctx, s.session.Exchange); err != nil {155			log.WithError(err).Errorf("graceful cancel order error")156		}157		// amplitude volume divergence158		corr := fixedpoint.NewFromFloat(s.pvDivergence.Last()).Neg()159		// price mean reversion...

main.go

Source:main.go

1package main2import (3	"context"4	"time"5	"github.com/btcsuite/btcd/chaincfg"6	"github.com/ethereum/go-ethereum/accounts/abi/bind"7	"github.com/ethereum/go-ethereum/common"8	"github.com/ethereum/go-ethereum/ethclient"9	"github.com/renproject/enclave-testcase/ethereumbinding"10	"github.com/renproject/multichain"11	"github.com/renproject/multichain/api/utxo"12	"github.com/renproject/multichain/chain/bitcoin"13	"github.com/renproject/multichain/chain/bitcoincash"14	"github.com/renproject/multichain/chain/digibyte"15	"github.com/renproject/multichain/chain/dogecoin"16	"github.com/renproject/multichain/chain/filecoin"17	"github.com/renproject/multichain/chain/solana"18	"github.com/renproject/multichain/chain/terra"19	"github.com/renproject/multichain/chain/zcash"20)21func main() {22	useBitcoin()23	useBitcoinCash()24	useDigibyte()25	useDogecoin()26	useEthereum()27	useFilecoin()28	useSolana()29	useTerra()30	useZcash()31}32func useBitcoin() {33	client := bitcoin.NewClient(bitcoin.DefaultClientOptions())34	txBuilder := bitcoin.NewTxBuilder(&chaincfg.RegressionNetParams)35	tx, _ := txBuilder.BuildTx(nil, nil)36	ctx, cancel := context.WithTimeout(context.Background(), 0*time.Second)37	defer cancel()38	client.LatestBlock(ctx)39	client.Output(ctx, utxo.Outpoint{})40	client.UnspentOutput(ctx, utxo.Outpoint{})41	client.SubmitTx(ctx, tx)42	client.UnspentOutputs(ctx, 0, 0, "")43	client.Confirmations(ctx, []byte{})44	client.EstimateSmartFee(ctx, 0)45	client.EstimateFeeLegacy(ctx, 0)46}47func useBitcoinCash() {48	bitcoincash.NewClient(bitcoincash.DefaultClientOptions())49	bitcoincash.NewTxBuilder(&chaincfg.RegressionNetParams)50}51func useDigibyte() {52	digibyte.NewClient(digibyte.DefaultClientOptions())53	digibyte.NewTxBuilder(&digibyte.RegressionNetParams)54}55func useDogecoin() {56	dogecoin.NewClient(dogecoin.DefaultClientOptions())57	dogecoin.NewTxBuilder(&dogecoin.RegressionNetParams)58}59func useEthereum() {60	client, err := ethclient.Dial("")61	if err != nil {62		return63	}64	gatewayRegistry, err := ethereumbinding.NewGatewayRegistry(common.HexToAddress(""), client)65	if err != nil {66		return67	}68	gateways := make(map[multichain.Asset]*ethereumbinding.MintGatewayLogicV1, 0)69	assetAddrs := make(map[multichain.Address]multichain.Asset, 0)70	sourceChains := []multichain.Chain{71		multichain.Bitcoin,72	}73	for _, chain := range sourceChains {74		gatewayAddr, err := gatewayRegistry.GetGatewayBySymbol(&bind.CallOpts{}, string(chain.NativeAsset()))75		if err != nil {76			return77		}78		gateway, err := ethereumbinding.NewMintGatewayLogicV1(gatewayAddr, client)79		if err != nil {80			return81		}82		gateways[chain.NativeAsset()] = gateway83		addr, err := gateway.Token(&bind.CallOpts{})84		if err != nil {85			return86		}87		assetAddrs[multichain.Address(addr.String())] = chain.NativeAsset()88	}89}90func useFilecoin() {91	filecoin.NewClient(filecoin.DefaultClientOptions())92	filecoin.NewTxBuilder()93}94func useSolana() {95	solana.NewClient(solana.DefaultClientOptions())96}97func useTerra() {98	client := terra.NewClient(terra.DefaultClientOptions())99	terra.NewTxBuilder(terra.DefaultTxBuilderOptions(), client)100}101func useZcash() {102	zcash.NewClient(zcash.DefaultClientOptions())103	zcash.NewTxBuilder(&zcash.RegressionNetParams, 1000000)104}...

Bind

Using AI Code Generation

1import (2func main() {3	r.SetObserved("Y")4	r.SetVar(0, "X1")5	r.SetVar(1, "X2")6	r.Train(7		regression.Data{8			X: []float64{1, 2},9		},10		regression.Data{11			X: []float64{2, 3},12		},13		regression.Data{14			X: []float64{3, 4},15		},16		regression.Data{17			X: []float64{4, 5},18		},19		regression.Data{20			X: []float64{5, 6},21		},22	r.Run()23	fmt.Printf("%+v24}25regression.Data{26    X: []float64{1, 2},27},28regression.Data{29    X: []float64{2, 3},30},31regression.Data{32    X: []float64{3, 4},33},34regression.Data{35    X: []float64{4, 5},36},37regression.Data{38    X: []float64{5, 6},39},

Bind

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		{X: []float64{1}, Y: 10},8		{X: []float64{2}, Y: 20},9		{X: []float64{3}, Y: 30},10		{X: []float64{4}, Y: 40},11		{X: []float64{5}, Y: 50},12		{X: []float64{6}, Y: 60},13	})14	r.Run()15	fmt.Printf("Regression Formula: %v16	fmt.Printf("Regression Formula: %v17", r.Coeff(0))18}19import (20func main() {21	r := new(regression.Regression)22	r.SetObserved("Y")23	r.SetVar(0, "X")24	r.Train(regression.Data{25		{X: []float64{1, 1}, Y: 10},26		{X: []float64{2, 2}, Y: 20},27		{X: []float64{3, 3}, Y: 30},28		{X: []float64{4, 4}, Y: 40},29		{X: []float64{5, 5}, Y: 50},30		{X: []float64{6, 6}, Y: 60},31	})32	r.Run()33	fmt.Printf("Regression Formula: %v34	fmt.Printf("Regression Formula: %v35", r.Coeff(0))36	fmt.Printf("Regression Formula: %v37", r.Coeff(1))38}39import (

Bind

Using AI Code Generation

1import (2func main() {3	xs := []float64{1, 2, 3, 4, 5}4	ys := []float64{2, 4, 6, 8, 10}5	reg.SetObserved("Y", ys)6	reg.SetVar(0, "X", xs)7	reg.LinearRegression()8	fmt.Printf("slope: %v9", reg.Coeff(0))10	fmt.Printf("intercept: %v11", reg.Coeff(1))12	r2 := reg.R2()13	fmt.Printf("R^2: %v14	stderr := regression.StdErr(reg)15	fmt.Printf("standard error: %v16	stddev := regression.StdDev(reg)17	fmt.Printf("standard deviation: %v18	ci := regression.ConfidenceInterval(reg, 0.95)19	fmt.Printf("confidence interval: %v20	pi := regression.PredictionInterval(reg, 0.95)21	fmt.Printf("prediction interval: %v22	cov := regression.Covariance(reg)23	fmt.Printf("covariance: %v24	corr := regression.Correlation(reg)25	fmt.Printf("correlation: %v26	rl := regression.Line(reg)27	fmt.Printf("regression line: %v28	rl2 := regression.LineFromX(reg, 1)29	fmt.Printf("regression line at X=1: %v30	rl3 := regression.LineFromY(reg, 2)31	fmt.Printf("

Bind

Using AI Code Generation

1import (2func main() {3	r.Train(regression.DataPoint(65.0, []float64{1, 0, 0}))4	r.Train(regression.DataPoint(72.0, []float64{0, 1, 0}))5	r.Train(regression.DataPoint(69.0, []float64{0, 0, 1}))6	r.Train(regression.DataPoint(68.0, []float64{0, 0, 1}))7	r.Train(regression.DataPoint(70.0, []float64{0, 1, 0}))8	r.Train(regression.DataPoint(75.0, []float64{1, 0, 0}))9	r.Train(regression.DataPoint(80.0, []float64{1, 0, 0}))10	r.Train(regression.DataPoint(85.0, []float64{1, 0, 0}))11	r.Run()12	fmt.Printf("Predicted %v13", r.Predict([]float64{1, 0, 0}))14	fmt.Printf("Predicted %v15", r.Predict([]float64{0, 1, 0}))16	fmt.Printf("Predicted %v17", r.Predict([]float64{0, 0, 1}))18}

Bind

Using AI Code Generation

1import (2func main() {3	r.SetObserved("Y")4	r.SetVar(0, "X")5	r.Train(6		regression.Data{7			X: []float64{1, 2, 3, 4},8			Y: []float64{2, 4, 6, 8},9		},10	r.Train(11		regression.Data{12			X: []float64{2, 3, 4, 5},13			Y: []float64{3, 5, 7, 9},14		},15	r.Run()16	fmt.Printf("%v17	fmt.Printf("R2: %0.2f18	y, err := r.Predict([]float64{6})19	if err != nil {20		log.Fatal(err)21	}22	fmt.Printf("Predicted Y: %0.2f23}

Bind

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.Data{8            X: []float64{1, 2, 3, 4, 5, 6, 7, 8, 9},9            Y: []float64{2, 4, 6, 8, 10, 12, 14, 16, 18},10        },11    r.Run()12    fmt.Printf("Regression Formula: %v13    fmt.Printf("Regression Formula: %v14    fmt.Printf("Regression Formula: %v15", r.Equation(10))16    fmt.Printf("Regression Formula: %v17", r.Predict([]float64{10}))18}19import (20func main() {21    r := new(regression.Regression)22    r.SetObserved("Y")23    r.SetVar(0, "X")24    r.Train(25        regression.Data{26            X: []float64{1, 2, 3, 4, 5, 6, 7, 8, 9},27            Y: []float64{2, 4, 6, 8, 10, 12, 14, 16, 18},28        },29    r.Run()30    fmt.Printf("Regression Formula: %v31    fmt.Printf("Regression Formula: %v32    fmt.Printf("Regression Formula: %v33", r.Equation(10))34    fmt.Printf("Regression Formula: %v

Bind

Using AI Code Generation

1import (2func main() {3	x := []float64{1, 2, 3, 4, 5}4	y := []float64{1, 3, 2, 3, 5}5	model = stat.LinearRegression{}6	params = []float64{0, 0}7	fit := stat.Regression{}8	fit.Fit(model, params, x, y, nil)9	fmt.Printf("Intercept: %0.2f10	fmt.Printf("Slope: %0.2f11}

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.