repo stringlengths 6 47 | file_url stringlengths 77 269 | file_path stringlengths 5 186 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-07 08:35:43 2026-01-07 08:55:24 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
aydinnyunus/wallet-tracker | https://github.com/aydinnyunus/wallet-tracker/blob/3a71f080080541a24ac49aaa22468db8e4dedfc7/domain/repository/redis.go | domain/repository/redis.go | package repository
import (
"fmt"
)
// global constants for file
const ()
// global variables (not cool) for this file
var ()
// ScammerQueryArgs are arguments you can use to customize your queries. Multiple fields can be used at once,
// also empty query args is not a problem.
type ScammerQueryArgs struct {
// ... | go | Apache-2.0 | 3a71f080080541a24ac49aaa22468db8e4dedfc7 | 2026-01-07T09:45:59.997897Z | false |
aydinnyunus/wallet-tracker | https://github.com/aydinnyunus/wallet-tracker/blob/3a71f080080541a24ac49aaa22468db8e4dedfc7/domain/cli/cli.go | domain/cli/cli.go | package cli
import (
"encoding/json"
"io/ioutil"
"github.com/pkg/errors"
"github.com/aydinnyunus/wallet-tracker/domain/repository"
)
/*
Here we keep the necessary configuration of our cli.
*/
// global constants for file.
const ()
// global variables (not cool) for this file.
var ()
type Cli struct {
Us... | go | Apache-2.0 | 3a71f080080541a24ac49aaa22468db8e4dedfc7 | 2026-01-07T09:45:59.997897Z | false |
aydinnyunus/wallet-tracker | https://github.com/aydinnyunus/wallet-tracker/blob/3a71f080080541a24ac49aaa22468db8e4dedfc7/cli/command/neodash/start.go | cli/command/neodash/start.go | package neodash
import (
"fmt"
"github.com/aydinnyunus/wallet-tracker/domain/cli"
models "github.com/aydinnyunus/wallet-tracker/domain/repository"
"github.com/fatih/color"
"github.com/k0kubun/pp"
"github.com/spf13/cobra"
"github.com/spf13/viper"
"log"
"os"
"os/exec"
"strconv"
)
// global constants for file... | go | Apache-2.0 | 3a71f080080541a24ac49aaa22468db8e4dedfc7 | 2026-01-07T09:45:59.997897Z | false |
aydinnyunus/wallet-tracker | https://github.com/aydinnyunus/wallet-tracker/blob/3a71f080080541a24ac49aaa22468db8e4dedfc7/cli/command/neodash/neodash.go | cli/command/neodash/neodash.go | package neodash
import (
"io"
"os"
"github.com/spf13/cobra"
)
// global constants for file
const ()
// global variables (not cool) for this file
var ()
// NewNeodashCommand serves the base command for querying neodash.
//
// Adds flags and subcommands for neodash commands here,
func NewNeodashCommand() *cobra.C... | go | Apache-2.0 | 3a71f080080541a24ac49aaa22468db8e4dedfc7 | 2026-01-07T09:45:59.997897Z | false |
aydinnyunus/wallet-tracker | https://github.com/aydinnyunus/wallet-tracker/blob/3a71f080080541a24ac49aaa22468db8e4dedfc7/cli/command/commands/commands.go | cli/command/commands/commands.go | package commands
import (
"github.com/aydinnyunus/wallet-tracker/cli/command/neodash"
"github.com/aydinnyunus/wallet-tracker/cli/command/redis"
"github.com/aydinnyunus/wallet-tracker/cli/command/tracker"
"github.com/fatih/color"
"github.com/spf13/cobra"
"io"
"os"
)
// NewWalletTrackerCommand is the highest com... | go | Apache-2.0 | 3a71f080080541a24ac49aaa22468db8e4dedfc7 | 2026-01-07T09:45:59.997897Z | false |
aydinnyunus/wallet-tracker | https://github.com/aydinnyunus/wallet-tracker/blob/3a71f080080541a24ac49aaa22468db8e4dedfc7/cli/command/redis/redis.go | cli/command/redis/redis.go | package redis
import (
"io"
"os"
"github.com/spf13/cobra"
)
// global constants for file
const ()
// global variables (not cool) for this file
var ()
// NewRedisCommand serves the base command for querying redis.
//
// Adds flags and subcommands for redis commands here,
func NewRedisCommand() *cobra.Command {
... | go | Apache-2.0 | 3a71f080080541a24ac49aaa22468db8e4dedfc7 | 2026-01-07T09:45:59.997897Z | false |
aydinnyunus/wallet-tracker | https://github.com/aydinnyunus/wallet-tracker/blob/3a71f080080541a24ac49aaa22468db8e4dedfc7/cli/command/redis/get.go | cli/command/redis/get.go | package redis
import (
"github.com/fatih/color"
"github.com/go-redis/redis/v8"
"github.com/k0kubun/pp"
"github.com/pkg/errors"
"github.com/spf13/cobra"
"github.com/spf13/viper"
"github.com/aydinnyunus/wallet-tracker/cli/command/repository"
models "github.com/aydinnyunus/wallet-tracker/domain/repository"
)
//... | go | Apache-2.0 | 3a71f080080541a24ac49aaa22468db8e4dedfc7 | 2026-01-07T09:45:59.997897Z | false |
aydinnyunus/wallet-tracker | https://github.com/aydinnyunus/wallet-tracker/blob/3a71f080080541a24ac49aaa22468db8e4dedfc7/cli/command/tracker/websocket.go | cli/command/tracker/websocket.go | package tracker
import (
"github.com/aydinnyunus/wallet-tracker/cli/command/repository"
models "github.com/aydinnyunus/wallet-tracker/domain/repository"
"github.com/fatih/color"
"github.com/spf13/cobra"
"github.com/spf13/viper"
)
// global constants for file
const ()
// global variables (not cool) for this file... | go | Apache-2.0 | 3a71f080080541a24ac49aaa22468db8e4dedfc7 | 2026-01-07T09:45:59.997897Z | false |
aydinnyunus/wallet-tracker | https://github.com/aydinnyunus/wallet-tracker/blob/3a71f080080541a24ac49aaa22468db8e4dedfc7/cli/command/tracker/tracker.go | cli/command/tracker/tracker.go | package tracker
import (
"github.com/spf13/cobra"
"io"
"os"
)
// global constants for file
const ()
// global variables (not cool) for this file
var ()
// NewTrackCommand serves the base command for querying redis.
//
// Adds flags and subcommands for redis commands here,
func NewTrackCommand() *cobra.Command {
... | go | Apache-2.0 | 3a71f080080541a24ac49aaa22468db8e4dedfc7 | 2026-01-07T09:45:59.997897Z | false |
aydinnyunus/wallet-tracker | https://github.com/aydinnyunus/wallet-tracker/blob/3a71f080080541a24ac49aaa22468db8e4dedfc7/cli/command/tracker/track.go | cli/command/tracker/track.go | package tracker
import (
"fmt"
"github.com/aydinnyunus/blockchain"
"github.com/aydinnyunus/wallet-tracker/cli/command/repository"
models "github.com/aydinnyunus/wallet-tracker/domain/repository"
"github.com/fatih/color"
"github.com/k0kubun/pp"
"github.com/spf13/cobra"
"github.com/spf13/viper"
"log"
"math/ran... | go | Apache-2.0 | 3a71f080080541a24ac49aaa22468db8e4dedfc7 | 2026-01-07T09:45:59.997897Z | false |
aydinnyunus/wallet-tracker | https://github.com/aydinnyunus/wallet-tracker/blob/3a71f080080541a24ac49aaa22468db8e4dedfc7/cli/command/repository/parser.go | cli/command/repository/parser.go | package repository
import (
"context"
"encoding/json"
"github.com/PuerkitoBio/goquery"
"github.com/go-redis/redis/v8"
"golang.org/x/net/html"
"io"
"io/ioutil"
"log"
"net/http"
"strconv"
"strings"
)
type exitResponse struct {
D struct {
TxTotal string `json:"txTotal"`
BalanceTotal strin... | go | Apache-2.0 | 3a71f080080541a24ac49aaa22468db8e4dedfc7 | 2026-01-07T09:45:59.997897Z | false |
aydinnyunus/wallet-tracker | https://github.com/aydinnyunus/wallet-tracker/blob/3a71f080080541a24ac49aaa22468db8e4dedfc7/cli/command/repository/generic.go | cli/command/repository/generic.go | package repository
import (
"fmt"
"github.com/joho/godotenv"
"log"
"os"
"os/exec"
"strings"
)
func GetEnv(key, fallback string) string {
err := godotenv.Load()
if err != nil {
log.Fatalf("Error loading .env file")
}
if value, ok := os.LookupEnv(key); ok {
return value
}
return fallback
}
func CheckW... | go | Apache-2.0 | 3a71f080080541a24ac49aaa22468db8e4dedfc7 | 2026-01-07T09:45:59.997897Z | false |
aydinnyunus/wallet-tracker | https://github.com/aydinnyunus/wallet-tracker/blob/3a71f080080541a24ac49aaa22468db8e4dedfc7/cli/command/repository/neo4j.go | cli/command/repository/neo4j.go | package repository
import (
"github.com/fatih/color"
"github.com/neo4j/neo4j-go-driver/v4/neo4j"
)
func Neo4jDatabase(hash, timestamp, totalUSD, totalAmount, flowBTC, flowUSD string, from, toAddress map[int]map[string]string) (string, error) {
driver, err := neo4j.NewDriver(Neo4jUri, neo4j.BasicAuth(Neo4jUser, Neo... | go | Apache-2.0 | 3a71f080080541a24ac49aaa22468db8e4dedfc7 | 2026-01-07T09:45:59.997897Z | false |
aydinnyunus/wallet-tracker | https://github.com/aydinnyunus/wallet-tracker/blob/3a71f080080541a24ac49aaa22468db8e4dedfc7/cli/command/repository/consts.go | cli/command/repository/consts.go | package repository
import (
"time"
)
const (
BtcNetwork = 1
EthNetwork = 0
importQuery = "MERGE (t:Transaction {hash:$hash}) CREATE (t2:Transaction) SET t.hash = $hash, t.timestamp = datetime($timestamp), " +
"t.totalBTC = toFloat($total_amount), t.totalUSD = toFloat($total_usd),t.flowBTC = toFloat($flow_btc)... | go | Apache-2.0 | 3a71f080080541a24ac49aaa22468db8e4dedfc7 | 2026-01-07T09:45:59.997897Z | false |
aydinnyunus/wallet-tracker | https://github.com/aydinnyunus/wallet-tracker/blob/3a71f080080541a24ac49aaa22468db8e4dedfc7/cli/command/repository/websocket.go | cli/command/repository/websocket.go | package repository
import (
"encoding/json"
"flag"
"fmt"
models "github.com/aydinnyunus/wallet-tracker/domain/repository"
"github.com/fatih/color"
"github.com/gorilla/websocket"
"log"
"math/rand"
"net/url"
"os"
"os/signal"
"strconv"
"time"
)
type responseJSON struct {
Op string `json:"op"`
X struct {
... | go | Apache-2.0 | 3a71f080080541a24ac49aaa22468db8e4dedfc7 | 2026-01-07T09:45:59.997897Z | false |
aydinnyunus/wallet-tracker | https://github.com/aydinnyunus/wallet-tracker/blob/3a71f080080541a24ac49aaa22468db8e4dedfc7/cli/command/repository/db.go | cli/command/repository/db.go | package repository
import (
"context"
"github.com/aydinnyunus/wallet-tracker/domain/repository"
"github.com/go-redis/redis/v8"
)
// global constants for file
const ()
// global variables (not cool) for this file
var ()
// ConnectToRedis establishes a live connection to your agents database.
// Make sure to have... | go | Apache-2.0 | 3a71f080080541a24ac49aaa22468db8e4dedfc7 | 2026-01-07T09:45:59.997897Z | false |
aydinnyunus/wallet-tracker | https://github.com/aydinnyunus/wallet-tracker/blob/3a71f080080541a24ac49aaa22468db8e4dedfc7/cli/command/repository/btc.go | cli/command/repository/btc.go | package repository
import (
"encoding/json"
"fmt"
"io"
"io/ioutil"
"log"
"net/http"
"strings"
)
type Response struct {
Usd struct {
One5M float64 `json:"15m"`
Last float64 `json:"last"`
Buy float64 `json:"buy"`
Sell float64 `json:"sell"`
Symbol string `json:"symbol"`
} `json:"USD"`
}
func... | go | Apache-2.0 | 3a71f080080541a24ac49aaa22468db8e4dedfc7 | 2026-01-07T09:45:59.997897Z | false |
aydinnyunus/wallet-tracker | https://github.com/aydinnyunus/wallet-tracker/blob/3a71f080080541a24ac49aaa22468db8e4dedfc7/cli/command/repository/graph.go | cli/command/repository/graph.go | package repository
// Graph : represents a Graph
type Graph struct {
Nodes []*GraphNode
}
// GraphNode : represents a Graph node
type GraphNode struct {
id int
WalletId string
value int
Edges map[int]int
}
// New : returns a new instance of a Graph
func New() *Graph {
return &Graph{
Nodes: []*GraphNode... | go | Apache-2.0 | 3a71f080080541a24ac49aaa22468db8e4dedfc7 | 2026-01-07T09:45:59.997897Z | false |
mmatczuk/go_generics | https://github.com/mmatczuk/go_generics/blob/0aaa050f9bab8160cf684130d0afa69ff582cbe6/cmd/go_merge/merge.go | cmd/go_merge/merge.go | // Copyright 2018 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in w... | go | Apache-2.0 | 0aaa050f9bab8160cf684130d0afa69ff582cbe6 | 2026-01-07T09:46:00.360379Z | false |
mmatczuk/go_generics | https://github.com/mmatczuk/go_generics/blob/0aaa050f9bab8160cf684130d0afa69ff582cbe6/cmd/go_generics/imports.go | cmd/go_generics/imports.go | // Copyright 2018 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in w... | go | Apache-2.0 | 0aaa050f9bab8160cf684130d0afa69ff582cbe6 | 2026-01-07T09:46:00.360379Z | false |
mmatczuk/go_generics | https://github.com/mmatczuk/go_generics/blob/0aaa050f9bab8160cf684130d0afa69ff582cbe6/cmd/go_generics/generics.go | cmd/go_generics/generics.go | // Copyright 2018 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in w... | go | Apache-2.0 | 0aaa050f9bab8160cf684130d0afa69ff582cbe6 | 2026-01-07T09:46:00.360379Z | false |
mmatczuk/go_generics | https://github.com/mmatczuk/go_generics/blob/0aaa050f9bab8160cf684130d0afa69ff582cbe6/cmd/go_generics/remove.go | cmd/go_generics/remove.go | // Copyright 2018 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in w... | go | Apache-2.0 | 0aaa050f9bab8160cf684130d0afa69ff582cbe6 | 2026-01-07T09:46:00.360379Z | false |
mmatczuk/go_generics | https://github.com/mmatczuk/go_generics/blob/0aaa050f9bab8160cf684130d0afa69ff582cbe6/generics_tests/all_types/input.go | generics_tests/all_types/input.go | // Copyright 2018 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in w... | go | Apache-2.0 | 0aaa050f9bab8160cf684130d0afa69ff582cbe6 | 2026-01-07T09:46:00.360379Z | false |
mmatczuk/go_generics | https://github.com/mmatczuk/go_generics/blob/0aaa050f9bab8160cf684130d0afa69ff582cbe6/generics_tests/all_types/lib/lib.go | generics_tests/all_types/lib/lib.go | // Copyright 2018 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in w... | go | Apache-2.0 | 0aaa050f9bab8160cf684130d0afa69ff582cbe6 | 2026-01-07T09:46:00.360379Z | false |
mmatczuk/go_generics | https://github.com/mmatczuk/go_generics/blob/0aaa050f9bab8160cf684130d0afa69ff582cbe6/generics_tests/all_types/output/output.go | generics_tests/all_types/output/output.go | // Copyright 2018 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in w... | go | Apache-2.0 | 0aaa050f9bab8160cf684130d0afa69ff582cbe6 | 2026-01-07T09:46:00.360379Z | false |
mmatczuk/go_generics | https://github.com/mmatczuk/go_generics/blob/0aaa050f9bab8160cf684130d0afa69ff582cbe6/generics_tests/consts/input.go | generics_tests/consts/input.go | // Copyright 2018 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in w... | go | Apache-2.0 | 0aaa050f9bab8160cf684130d0afa69ff582cbe6 | 2026-01-07T09:46:00.360379Z | false |
mmatczuk/go_generics | https://github.com/mmatczuk/go_generics/blob/0aaa050f9bab8160cf684130d0afa69ff582cbe6/generics_tests/consts/output/output.go | generics_tests/consts/output/output.go | // Copyright 2018 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in w... | go | Apache-2.0 | 0aaa050f9bab8160cf684130d0afa69ff582cbe6 | 2026-01-07T09:46:00.360379Z | false |
mmatczuk/go_generics | https://github.com/mmatczuk/go_generics/blob/0aaa050f9bab8160cf684130d0afa69ff582cbe6/generics_tests/remove_typedef/input.go | generics_tests/remove_typedef/input.go | // Copyright 2018 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in w... | go | Apache-2.0 | 0aaa050f9bab8160cf684130d0afa69ff582cbe6 | 2026-01-07T09:46:00.360379Z | false |
mmatczuk/go_generics | https://github.com/mmatczuk/go_generics/blob/0aaa050f9bab8160cf684130d0afa69ff582cbe6/generics_tests/remove_typedef/output/output.go | generics_tests/remove_typedef/output/output.go | // Copyright 2018 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in w... | go | Apache-2.0 | 0aaa050f9bab8160cf684130d0afa69ff582cbe6 | 2026-01-07T09:46:00.360379Z | false |
mmatczuk/go_generics | https://github.com/mmatczuk/go_generics/blob/0aaa050f9bab8160cf684130d0afa69ff582cbe6/generics_tests/all_stmts/input.go | generics_tests/all_stmts/input.go | // Copyright 2018 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in w... | go | Apache-2.0 | 0aaa050f9bab8160cf684130d0afa69ff582cbe6 | 2026-01-07T09:46:00.360379Z | false |
mmatczuk/go_generics | https://github.com/mmatczuk/go_generics/blob/0aaa050f9bab8160cf684130d0afa69ff582cbe6/generics_tests/all_stmts/output/output.go | generics_tests/all_stmts/output/output.go | // Copyright 2018 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in w... | go | Apache-2.0 | 0aaa050f9bab8160cf684130d0afa69ff582cbe6 | 2026-01-07T09:46:00.360379Z | false |
mmatczuk/go_generics | https://github.com/mmatczuk/go_generics/blob/0aaa050f9bab8160cf684130d0afa69ff582cbe6/generics_tests/simple/input.go | generics_tests/simple/input.go | // Copyright 2018 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in w... | go | Apache-2.0 | 0aaa050f9bab8160cf684130d0afa69ff582cbe6 | 2026-01-07T09:46:00.360379Z | false |
mmatczuk/go_generics | https://github.com/mmatczuk/go_generics/blob/0aaa050f9bab8160cf684130d0afa69ff582cbe6/generics_tests/simple/output/output.go | generics_tests/simple/output/output.go | // Copyright 2018 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in w... | go | Apache-2.0 | 0aaa050f9bab8160cf684130d0afa69ff582cbe6 | 2026-01-07T09:46:00.360379Z | false |
mmatczuk/go_generics | https://github.com/mmatczuk/go_generics/blob/0aaa050f9bab8160cf684130d0afa69ff582cbe6/generics_tests/imports/input.go | generics_tests/imports/input.go | // Copyright 2018 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in w... | go | Apache-2.0 | 0aaa050f9bab8160cf684130d0afa69ff582cbe6 | 2026-01-07T09:46:00.360379Z | false |
mmatczuk/go_generics | https://github.com/mmatczuk/go_generics/blob/0aaa050f9bab8160cf684130d0afa69ff582cbe6/generics_tests/imports/output/output.go | generics_tests/imports/output/output.go | // Copyright 2018 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in w... | go | Apache-2.0 | 0aaa050f9bab8160cf684130d0afa69ff582cbe6 | 2026-01-07T09:46:00.360379Z | false |
mmatczuk/go_generics | https://github.com/mmatczuk/go_generics/blob/0aaa050f9bab8160cf684130d0afa69ff582cbe6/globals/globals_visitor.go | globals/globals_visitor.go | // Copyright 2018 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in w... | go | Apache-2.0 | 0aaa050f9bab8160cf684130d0afa69ff582cbe6 | 2026-01-07T09:46:00.360379Z | false |
mmatczuk/go_generics | https://github.com/mmatczuk/go_generics/blob/0aaa050f9bab8160cf684130d0afa69ff582cbe6/globals/scope.go | globals/scope.go | // Copyright 2018 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in w... | go | Apache-2.0 | 0aaa050f9bab8160cf684130d0afa69ff582cbe6 | 2026-01-07T09:46:00.360379Z | false |
google/readahead | https://github.com/google/readahead/blob/eaceba16903255cb149d1efc316f6cc83d765268/readahead_test.go | readahead_test.go | // Copyright 2016 Google Inc.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in... | go | Apache-2.0 | eaceba16903255cb149d1efc316f6cc83d765268 | 2026-01-07T09:46:00.553454Z | false |
google/readahead | https://github.com/google/readahead/blob/eaceba16903255cb149d1efc316f6cc83d765268/readahead.go | readahead.go | // Copyright 2016 Google Inc.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in... | go | Apache-2.0 | eaceba16903255cb149d1efc316f6cc83d765268 | 2026-01-07T09:46:00.553454Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter08/deep_learning/example1/myprogram.go | Chapter08/deep_learning/example1/myprogram.go | package main
import (
"archive/zip"
"bufio"
"flag"
"fmt"
"io"
"io/ioutil"
"log"
"net/http"
"os"
"path/filepath"
tf "github.com/tensorflow/tensorflow/tensorflow/go"
"github.com/tensorflow/tensorflow/tensorflow/go/op"
)
func main() {
// An example for using the TensorFlow Go API for image recognition
// ... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter08/utilizing_our_simple_nn/example1/myprogram.go | Chapter08/utilizing_our_simple_nn/example1/myprogram.go | package main
import (
"encoding/csv"
"errors"
"fmt"
"log"
"math"
"math/rand"
"os"
"strconv"
"time"
"github.com/gonum/floats"
"gonum.org/v1/gonum/mat"
)
// neuralNet contains all of the information
// that defines a trained neural network.
type neuralNet struct {
config neuralNetConfig
wHidden *mat.Den... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter08/building_a_simple_nn/example1/myprogram.go | Chapter08/building_a_simple_nn/example1/myprogram.go | package main
import (
"errors"
"fmt"
"log"
"math"
"math/rand"
"time"
"github.com/gonum/floats"
"gonum.org/v1/gonum/mat"
)
// neuralNet contains all of the information
// that defines a trained neural network.
type neuralNet struct {
config neuralNetConfig
wHidden *mat.Dense
bHidden *mat.Dense
wOut *... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter04/linear_regression/example2/myprogram.go | Chapter04/linear_regression/example2/myprogram.go | package main
import (
"fmt"
"log"
"os"
"github.com/gonum/plot"
"github.com/gonum/plot/plotter"
"github.com/gonum/plot/vg"
"github.com/kniren/gota/dataframe"
)
func main() {
// Open the advertising dataset file.
f, err := os.Open("Advertising.csv")
if err != nil {
log.Fatal(err)
}
defer f.Close()
// ... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter04/linear_regression/example1/myprogram.go | Chapter04/linear_regression/example1/myprogram.go | package main
import (
"fmt"
"log"
"os"
"github.com/kniren/gota/dataframe"
)
func main() {
// Open the CSV file.
advertFile, err := os.Open("Advertising.csv")
if err != nil {
log.Fatal(err)
}
defer advertFile.Close()
// Create a dataframe from the CSV file.
advertDF := dataframe.ReadCSV(advertFile)
/... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter04/linear_regression/example3/myprogram.go | Chapter04/linear_regression/example3/myprogram.go | package main
import (
"image/color"
"log"
"os"
"github.com/gonum/plot"
"github.com/gonum/plot/plotter"
"github.com/gonum/plot/vg"
"github.com/kniren/gota/dataframe"
)
func main() {
// Open the advertising dataset file.
f, err := os.Open("Advertising.csv")
if err != nil {
log.Fatal(err)
}
defer f.Close... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter04/linear_regression/example6/myprogram.go | Chapter04/linear_regression/example6/myprogram.go | package main
import (
"encoding/csv"
"fmt"
"log"
"math"
"os"
"strconv"
"github.com/sajari/regression"
)
func main() {
// Open the training dataset file.
f, err := os.Open("training.csv")
if err != nil {
log.Fatal(err)
}
defer f.Close()
// Create a new CSV reader reading from the opened file.
reader... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter04/linear_regression/example5/myprogram.go | Chapter04/linear_regression/example5/myprogram.go | package main
import (
"encoding/csv"
"fmt"
"log"
"os"
"strconv"
"github.com/sajari/regression"
)
func main() {
// Open the training dataset file.
f, err := os.Open("training.csv")
if err != nil {
log.Fatal(err)
}
defer f.Close()
// Create a new CSV reader reading from the opened file.
reader := csv.... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter04/linear_regression/example7/myprogram.go | Chapter04/linear_regression/example7/myprogram.go | package main
import (
"image/color"
"log"
"os"
"github.com/gonum/plot"
"github.com/gonum/plot/plotter"
"github.com/gonum/plot/vg"
"github.com/kniren/gota/dataframe"
)
func main() {
// Open the advertising dataset file.
f, err := os.Open("Advertising.csv")
if err != nil {
log.Fatal(err)
}
defer f.Close... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter04/linear_regression/example4/myprogram.go | Chapter04/linear_regression/example4/myprogram.go | package main
import (
"bufio"
"log"
"os"
"github.com/kniren/gota/dataframe"
)
func main() {
// Open the advertising dataset file.
f, err := os.Open("Advertising.csv")
if err != nil {
log.Fatal(err)
}
defer f.Close()
// Create a dataframe from the CSV file.
// The types of the columns will be inferred.... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter04/multiple_regression/example2/myprogram.go | Chapter04/multiple_regression/example2/myprogram.go | package main
import (
"encoding/csv"
"fmt"
"log"
"math"
"os"
"strconv"
"github.com/sajari/regression"
)
func main() {
// Open the training dataset file.
f, err := os.Open("training.csv")
if err != nil {
log.Fatal(err)
}
defer f.Close()
// Create a new CSV reader reading from the opened file.
reader... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter04/multiple_regression/example1/myprogram.go | Chapter04/multiple_regression/example1/myprogram.go | package main
import (
"encoding/csv"
"fmt"
"log"
"os"
"strconv"
"github.com/sajari/regression"
)
func main() {
// Open the training dataset file.
f, err := os.Open("training.csv")
if err != nil {
log.Fatal(err)
}
defer f.Close()
// Create a new CSV reader reading from the opened file.
reader := csv.... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter04/non-linear_regression/example2/myprogram.go | Chapter04/non-linear_regression/example2/myprogram.go | package main
import (
"encoding/csv"
"fmt"
"log"
"os"
"strconv"
"github.com/berkmancenter/ridge"
"github.com/gonum/matrix/mat64"
)
func main() {
// Open the training dataset file.
f, err := os.Open("training.csv")
if err != nil {
log.Fatal(err)
}
defer f.Close()
// Create a new CSV reader reading fr... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter04/non-linear_regression/example1/myprogram.go | Chapter04/non-linear_regression/example1/myprogram.go | package main
import (
"encoding/csv"
"fmt"
"log"
"os"
"strconv"
"github.com/gonum/matrix/mat64"
)
func main() {
// Open the training dataset file.
f, err := os.Open("training.csv")
if err != nil {
log.Fatal(err)
}
defer f.Close()
// Create a new CSV reader reading from the opened file.
reader := csv... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter04/non-linear_regression/example3/myprogram.go | Chapter04/non-linear_regression/example3/myprogram.go | package main
import (
"encoding/csv"
"fmt"
"log"
"math"
"os"
"strconv"
)
func main() {
// Open the test dataset file.
f, err := os.Open("test.csv")
if err != nil {
log.Fatal(err)
}
defer f.Close()
// Create a new CSV reader reading from the opened file.
reader := csv.NewReader(f)
// Read in all of ... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter06/distance/example1/myprogram.go | Chapter06/distance/example1/myprogram.go | package main
import (
"fmt"
"github.com/gonum/floats"
)
func main() {
// Calculate the Euclidean distance, specified here via
// the last argument in the Distance function.
distance := floats.Distance([]float64{1, 2}, []float64{3, 4}, 2)
fmt.Printf("\nDistance: %0.2f\n\n", distance)
}
| go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter06/k-means/example2/myprogram.go | Chapter06/k-means/example2/myprogram.go | package main
import (
"image/color"
"log"
"os"
"github.com/gonum/plot"
"github.com/gonum/plot/plotter"
"github.com/gonum/plot/vg"
"github.com/kniren/gota/dataframe"
)
func main() {
// Open the driver dataset file.
f, err := os.Open("fleet_data.csv")
if err != nil {
log.Fatal(err)
}
defer f.Close()
/... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter06/k-means/example1/myprogram.go | Chapter06/k-means/example1/myprogram.go | package main
import (
"fmt"
"log"
"os"
"github.com/gonum/plot"
"github.com/gonum/plot/plotter"
"github.com/gonum/plot/vg"
"github.com/kniren/gota/dataframe"
)
func main() {
// Open the CSV file.
driverDataFile, err := os.Open("fleet_data.csv")
if err != nil {
log.Fatal(err)
}
defer driverDataFile.Clos... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter06/k-means/example3/myprogram.go | Chapter06/k-means/example3/myprogram.go | package main
import (
"encoding/csv"
"fmt"
"io"
"log"
"os"
"strconv"
"github.com/mash/gokmeans"
)
func main() {
// Open the driver dataset file.
f, err := os.Open("fleet_data.csv")
if err != nil {
log.Fatal(err)
}
defer f.Close()
// Create a new CSV reader.
r := csv.NewReader(f)
r.FieldsPerRecord ... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter06/k-means/example5/myprogram.go | Chapter06/k-means/example5/myprogram.go | package main
import (
"fmt"
"log"
"os"
"github.com/gonum/floats"
"github.com/kniren/gota/dataframe"
)
func main() {
// Open the driver dataset file.
f, err := os.Open("fleet_data.csv")
if err != nil {
log.Fatal(err)
}
defer f.Close()
// Create a dataframe from the CSV file.
driverDF := dataframe.Read... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter06/k-means/example4/myprogram.go | Chapter06/k-means/example4/myprogram.go | package main
import (
"image/color"
"log"
"os"
"github.com/gonum/floats"
"github.com/gonum/plot"
"github.com/gonum/plot/plotter"
"github.com/gonum/plot/vg"
"github.com/kniren/gota/dataframe"
)
func main() {
// Open the driver dataset file.
f, err := os.Open("fleet_data.csv")
if err != nil {
log.Fatal(e... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter06/evaluating/example2/myprogram.go | Chapter06/evaluating/example2/myprogram.go | package main
import (
"fmt"
"log"
"os"
"github.com/gonum/floats"
"github.com/kniren/gota/dataframe"
)
type centroid []float64
func main() {
// Pull in the CSV file.
irisFile, err := os.Open("iris.csv")
if err != nil {
log.Fatal(err)
}
defer irisFile.Close()
// Create a dataframe from the CSV file.
i... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter06/evaluating/example1/myprogram.go | Chapter06/evaluating/example1/myprogram.go | package main
import (
"fmt"
"log"
"os"
"github.com/kniren/gota/dataframe"
)
type centroid []float64
func main() {
// Pull in the CSV file.
irisFile, err := os.Open("iris.csv")
if err != nil {
log.Fatal(err)
}
defer irisFile.Close()
// Create a dataframe from the CSV file.
irisDF := dataframe.ReadCSV(... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter02/vectors/example2/myprogram.go | Chapter02/vectors/example2/myprogram.go | package main
import (
"fmt"
"github.com/gonum/matrix/mat64"
)
func main() {
// Create a new vector value.
myvector := mat64.NewVector(2, []float64{11.0, 5.2})
fmt.Println(myvector)
}
| go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter02/vectors/example1/myprogram.go | Chapter02/vectors/example1/myprogram.go | package main
import "fmt"
func main() {
// Initialize a "vector" via a slice.
var myvector []float64
// Add a couple of components to the vector.
myvector = append(myvector, 11.0)
myvector = append(myvector, 5.2)
fmt.Println(myvector)
}
| go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter02/vectors/example3/myprogram.go | Chapter02/vectors/example3/myprogram.go | package main
import (
"fmt"
"github.com/gonum/floats"
)
func main() {
// Initialize a couple of "vectors" represented as slices.
vectorA := []float64{11.0, 5.2, -1.3}
vectorB := []float64{-7.2, 4.2, 5.1}
// Compute the dot product of A and B
// (https://en.wikipedia.org/wiki/Dot_product).
dotProduct := flo... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter02/vectors/example4/myprogram.go | Chapter02/vectors/example4/myprogram.go | package main
import (
"fmt"
"github.com/gonum/blas/blas64"
"github.com/gonum/matrix/mat64"
)
func main() {
// Initialize a couple of "vectors" represented as slices.
vectorA := mat64.NewVector(3, []float64{11.0, 5.2, -1.3})
vectorB := mat64.NewVector(3, []float64{-7.2, 4.2, 5.1})
// Compute the dot product ... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter02/statistical_visualizations/example2/myprogram.go | Chapter02/statistical_visualizations/example2/myprogram.go | package main
import (
"log"
"os"
"github.com/gonum/plot"
"github.com/gonum/plot/plotter"
"github.com/gonum/plot/vg"
"github.com/kniren/gota/dataframe"
)
func main() {
// Open the CSV file.
irisFile, err := os.Open("../data/iris.csv")
if err != nil {
log.Fatal(err)
}
defer irisFile.Close()
// Create a... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter02/statistical_visualizations/example1/myprogram.go | Chapter02/statistical_visualizations/example1/myprogram.go | package main
import (
"fmt"
"log"
"os"
"github.com/gonum/plot"
"github.com/gonum/plot/plotter"
"github.com/gonum/plot/vg"
"github.com/kniren/gota/dataframe"
)
func main() {
// Open the CSV file.
irisFile, err := os.Open("../data/iris.csv")
if err != nil {
log.Fatal(err)
}
defer irisFile.Close()
// C... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter02/matrices/example2/myprogram.go | Chapter02/matrices/example2/myprogram.go | package main
import (
"fmt"
"github.com/gonum/matrix/mat64"
)
func main() {
// Create a flat representation of our matrix.
data := []float64{1.2, -5.7, -2.4, 7.3}
// Form our matrix.
a := mat64.NewDense(2, 2, data)
// Get a single value from the matrix.
val := a.At(0, 1)
fmt.Printf("The value of a at (0,... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter02/matrices/example1/myprogram.go | Chapter02/matrices/example1/myprogram.go | package main
import (
"fmt"
"github.com/gonum/matrix/mat64"
)
func main() {
// Create a flat representation of our matrix.
data := []float64{1.2, -5.7, -2.4, 7.3}
// Form our matrix.
a := mat64.NewDense(2, 2, data)
// As a sanity check, output the matrix to standard out.
fa := mat64.Formatted(a, mat64.Pre... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter02/matrices/example3/myprogram.go | Chapter02/matrices/example3/myprogram.go | package main
import (
"fmt"
"log"
"github.com/gonum/matrix/mat64"
)
func main() {
// Create a new matrix a.
a := mat64.NewDense(3, 3, []float64{1, 2, 3, 0, 4, 5, 0, 0, 6})
// Compute and output the transpose of the matrix.
ft := mat64.Formatted(a.T(), mat64.Prefix(" "))
fmt.Printf("a^T = %v\n\n", ft)
... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter02/statistical_measures/example2/myprogram.go | Chapter02/statistical_measures/example2/myprogram.go | package main
import (
"fmt"
"log"
"os"
"github.com/gonum/floats"
"github.com/gonum/stat"
"github.com/kniren/gota/dataframe"
)
func main() {
// Open the CSV file.
irisFile, err := os.Open("../data/iris.csv")
if err != nil {
log.Fatal(err)
}
defer irisFile.Close()
// Create a dataframe from the CSV fil... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter02/statistical_measures/example1/myprogram.go | Chapter02/statistical_measures/example1/myprogram.go | package main
import (
"fmt"
"log"
"os"
"github.com/gonum/stat"
"github.com/kniren/gota/dataframe"
"github.com/montanaflynn/stats"
)
func main() {
// Open the CSV file.
irisFile, err := os.Open("../data/iris.csv")
if err != nil {
log.Fatal(err)
}
defer irisFile.Close()
// Create a dataframe from the C... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter02/hypothesis_testing/example2/myprogram.go | Chapter02/hypothesis_testing/example2/myprogram.go | package main
import (
"fmt"
"github.com/gonum/stat"
"github.com/gonum/stat/distuv"
)
func main() {
// Define the observed frequencies.
observed := []float64{
260.0, // This number is the number of observed with no regular exercise.
135.0, // This number is the number of observed with sporatic exercise.
1... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter02/hypothesis_testing/example1/myprogram.go | Chapter02/hypothesis_testing/example1/myprogram.go | package main
import (
"fmt"
"github.com/gonum/stat"
)
func main() {
// Define observed and expected values. Most
// of the time these will come from your
// data (website visits, etc.).
observed := []float64{48, 52}
expected := []float64{50, 50}
// Calculate the ChiSquare test statistic.
chiSquare := stat... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter05/naive_bayes/example1/myprogram.go | Chapter05/naive_bayes/example1/myprogram.go | package main
import (
"fmt"
"log"
"github.com/sjwhitworth/golearn/base"
"github.com/sjwhitworth/golearn/evaluation"
"github.com/sjwhitworth/golearn/filters"
"github.com/sjwhitworth/golearn/naive"
)
func main() {
// Read in the loan training data set into golearn "instances".
trainingData, err := base.ParseC... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter05/decision_tree/example2/myprogram.go | Chapter05/decision_tree/example2/myprogram.go | package main
import (
"fmt"
"log"
"math"
"math/rand"
"github.com/sjwhitworth/golearn/base"
"github.com/sjwhitworth/golearn/ensemble"
"github.com/sjwhitworth/golearn/evaluation"
)
func main() {
// Read in the iris data set into golearn "instances".
irisData, err := base.ParseCSVToInstances("iris.csv", true)... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter05/decision_tree/example1/myprogram.go | Chapter05/decision_tree/example1/myprogram.go | package main
import (
"fmt"
"log"
"math"
"math/rand"
"github.com/sjwhitworth/golearn/base"
"github.com/sjwhitworth/golearn/evaluation"
"github.com/sjwhitworth/golearn/trees"
)
func main() {
// Read in the iris data set into golearn "instances".
irisData, err := base.ParseCSVToInstances("iris.csv", true)
i... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter05/kNN/example1/myprogram.go | Chapter05/kNN/example1/myprogram.go | package main
import (
"fmt"
"log"
"math"
"github.com/sjwhitworth/golearn/base"
"github.com/sjwhitworth/golearn/evaluation"
"github.com/sjwhitworth/golearn/knn"
)
func main() {
// Read in the iris data set into golearn "instances".
irisData, err := base.ParseCSVToInstances("iris.csv", true)
if err != nil {
... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter05/logistic_regression/example2/myprogram.go | Chapter05/logistic_regression/example2/myprogram.go | package main
import (
"image/color"
"log"
"math"
"github.com/gonum/plot"
"github.com/gonum/plot/plotter"
"github.com/gonum/plot/vg"
)
func main() {
// Create a new plot.
p, err := plot.New()
if err != nil {
log.Fatal(err)
}
p.Title.Text = "Logistic Function"
p.X.Label.Text = "x"
p.Y.Label.Text = "f(x... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter05/logistic_regression/example1/myprogram.go | Chapter05/logistic_regression/example1/myprogram.go | package main
import (
"fmt"
"math"
)
func main() {
fmt.Println(logistic(1.0))
}
// logistic implements the logistic function, which
// is used in logistic regression.
func logistic(x float64) float64 {
return 1 / (1 + math.Exp(-x))
}
| go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter05/logistic_regression/example3/myprogram.go | Chapter05/logistic_regression/example3/myprogram.go | package main
import (
"encoding/csv"
"log"
"os"
"strconv"
"strings"
)
func main() {
// Open the loan dataset file.
f, err := os.Open("loan_data.csv")
if err != nil {
log.Fatal(err)
}
defer f.Close()
// Create a new CSV reader reading from the opened file.
reader := csv.NewReader(f)
reader.FieldsPerRe... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter05/logistic_regression/example6/myprogram.go | Chapter05/logistic_regression/example6/myprogram.go | package main
import (
"encoding/csv"
"fmt"
"log"
"math"
"math/rand"
"os"
"strconv"
"time"
"github.com/gonum/matrix/mat64"
)
func main() {
// Open the training dataset file.
f, err := os.Open("training.csv")
if err != nil {
log.Fatal(err)
}
defer f.Close()
// Create a new CSV reader reading from th... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter05/logistic_regression/example5/myprogram.go | Chapter05/logistic_regression/example5/myprogram.go | package main
import (
"bufio"
"log"
"os"
"github.com/kniren/gota/dataframe"
)
func main() {
// Open the clean loan dataset file.
f, err := os.Open("clean_loan_data.csv")
if err != nil {
log.Fatal(err)
}
defer f.Close()
// Create a dataframe from the CSV file.
// The types of the columns will be inferr... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter05/logistic_regression/example7/myprogram.go | Chapter05/logistic_regression/example7/myprogram.go | package main
import (
"encoding/csv"
"fmt"
"io"
"log"
"math"
"os"
"strconv"
)
func main() {
// Open the test examples.
f, err := os.Open("test.csv")
if err != nil {
log.Fatal(err)
}
defer f.Close()
// Create a new CSV reader reading from the opened file.
reader := csv.NewReader(f)
// observed and ... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter05/logistic_regression/example4/myprogram.go | Chapter05/logistic_regression/example4/myprogram.go | package main
import (
"fmt"
"log"
"os"
"github.com/gonum/plot"
"github.com/gonum/plot/plotter"
"github.com/gonum/plot/vg"
"github.com/kniren/gota/dataframe"
)
func main() {
// Open the CSV file.
loanDataFile, err := os.Open("clean_loan_data.csv")
if err != nil {
log.Fatal(err)
}
defer loanDataFile.Clo... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter03/validation/training_test/example1/myprogram.go | Chapter03/validation/training_test/example1/myprogram.go | package main
import (
"bufio"
"log"
"os"
"github.com/kniren/gota/dataframe"
)
func main() {
// Open the diabetes dataset file.
f, err := os.Open("diabetes.csv")
if err != nil {
log.Fatal(err)
}
defer f.Close()
// Create a dataframe from the CSV file.
// The types of the columns will be inferred.
diab... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter03/evaluation/categorical_metrics/example2/myprogram.go | Chapter03/evaluation/categorical_metrics/example2/myprogram.go | package main
import (
"encoding/csv"
"fmt"
"io"
"log"
"os"
"strconv"
)
func main() {
// Open the labeled observations and predictions.
f, err := os.Open("labeled.csv")
if err != nil {
log.Fatal(err)
}
defer f.Close()
// Create a new CSV reader reading from the opened file.
reader := csv.NewReader(f)
... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter03/evaluation/categorical_metrics/example1/myprogram.go | Chapter03/evaluation/categorical_metrics/example1/myprogram.go | package main
import (
"encoding/csv"
"fmt"
"io"
"log"
"os"
"strconv"
)
func main() {
// Open the binary observations and predictions.
f, err := os.Open("labeled.csv")
if err != nil {
log.Fatal(err)
}
defer f.Close()
// Create a new CSV reader reading from the opened file.
reader := csv.NewReader(f)
... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter03/evaluation/categorical_metrics/example3/myprogram.go | Chapter03/evaluation/categorical_metrics/example3/myprogram.go | package main
import (
"fmt"
"github.com/gonum/stat"
"gonum.org/v1/gonum/integrate"
)
func main() {
// Define our scores and classes.
scores := []float64{0.1, 0.35, 0.4, 0.8}
classes := []bool{true, false, true, false}
// Calculate the true positive rates (recalls) and
// false positive rates.
tpr, fpr := ... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter03/evaluation/continuous_metrics/example2/myprogram.go | Chapter03/evaluation/continuous_metrics/example2/myprogram.go | package main
import (
"encoding/csv"
"fmt"
"io"
"log"
"os"
"strconv"
"github.com/gonum/stat"
)
func main() {
// Open the continuous observations and predictions.
f, err := os.Open("continuous_data.csv")
if err != nil {
log.Fatal(err)
}
defer f.Close()
// Create a new CSV reader reading from the open... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter03/evaluation/continuous_metrics/example1/myprogram.go | Chapter03/evaluation/continuous_metrics/example1/myprogram.go | package main
import (
"encoding/csv"
"fmt"
"io"
"log"
"math"
"os"
"strconv"
)
func main() {
// Open the continuous observations and predictions.
f, err := os.Open("continuous_data.csv")
if err != nil {
log.Fatal(err)
}
defer f.Close()
// Create a new CSV reader reading from the opened file.
reader :... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter07/auto_regressive/example2/myprogram.go | Chapter07/auto_regressive/example2/myprogram.go | package main
import (
"encoding/csv"
"image/color"
"log"
"math"
"os"
"strconv"
"github.com/gonum/plot"
"github.com/gonum/plot/plotter"
"github.com/gonum/plot/vg"
"github.com/kniren/gota/dataframe"
)
func main() {
// Open the CSV file.
passengersFile, err := os.Open("AirPassengers.csv")
if err != nil {
... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter07/auto_regressive/example1/myprogram.go | Chapter07/auto_regressive/example1/myprogram.go | package main
import (
"encoding/csv"
"image/color"
"log"
"os"
"strconv"
"github.com/gonum/plot"
"github.com/gonum/plot/plotter"
"github.com/gonum/plot/vg"
"github.com/kniren/gota/dataframe"
)
func main() {
// Open the CSV file.
passengersFile, err := os.Open("AirPassengers.csv")
if err != nil {
log.Fa... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter07/auto_regressive/example3/myprogram.go | Chapter07/auto_regressive/example3/myprogram.go | package main
import (
"log"
"math"
"os"
"github.com/gonum/plot"
"github.com/gonum/plot/plotter"
"github.com/gonum/plot/plotutil"
"github.com/gonum/plot/vg"
"github.com/gonum/stat"
"github.com/kniren/gota/dataframe"
)
func main() {
// Open the CSV file.
passengersFile, err := os.Open("log_diff_series.csv"... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter07/auto_regressive/example6/myprogram.go | Chapter07/auto_regressive/example6/myprogram.go | package main
import (
"encoding/csv"
"fmt"
"log"
"math"
"os"
"strconv"
"github.com/gonum/plot"
"github.com/gonum/plot/plotter"
"github.com/gonum/plot/vg"
)
func main() {
// Open the log differenced dataset file.
transFile, err := os.Open("log_diff_series.csv")
if err != nil {
log.Fatal(err)
}
defer ... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter07/auto_regressive/example5/myprogram.go | Chapter07/auto_regressive/example5/myprogram.go | package main
import (
"fmt"
"log"
"os"
"strconv"
"github.com/kniren/gota/dataframe"
"github.com/sajari/regression"
)
func main() {
// Open the CSV file.
passengersFile, err := os.Open("log_diff_series.csv")
if err != nil {
log.Fatal(err)
}
defer passengersFile.Close()
// Create a dataframe from the C... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter07/auto_regressive/example4/myprogram.go | Chapter07/auto_regressive/example4/myprogram.go | package main
import (
"log"
"os"
"strconv"
"github.com/gonum/plot"
"github.com/gonum/plot/plotter"
"github.com/gonum/plot/plotutil"
"github.com/gonum/plot/vg"
"github.com/kniren/gota/dataframe"
"github.com/sajari/regression"
)
func main() {
// Open the CSV file.
passengersFile, err := os.Open("log_diff_s... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter07/representing_time_series/example2/myprogram.go | Chapter07/representing_time_series/example2/myprogram.go | package main
import (
"image/color"
"log"
"os"
"github.com/gonum/plot"
"github.com/gonum/plot/plotter"
"github.com/gonum/plot/vg"
"github.com/kniren/gota/dataframe"
)
func main() {
// Open the CSV file.
passengersFile, err := os.Open("AirPassengers.csv")
if err != nil {
log.Fatal(err)
}
defer passenge... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
PacktPublishing/Machine-Learning-With-Go | https://github.com/PacktPublishing/Machine-Learning-With-Go/blob/8ce2d8a9e5880c3eda3dc012be6d016a04bdde69/Chapter07/representing_time_series/example1/myprogram.go | Chapter07/representing_time_series/example1/myprogram.go | package main
import (
"fmt"
"log"
"os"
"github.com/kniren/gota/dataframe"
)
func main() {
// Open the CSV file.
passengersFile, err := os.Open("AirPassengers.csv")
if err != nil {
log.Fatal(err)
}
defer passengersFile.Close()
// Create a dataframe from the CSV file.
passengersDF := dataframe.ReadCSV(p... | go | MIT | 8ce2d8a9e5880c3eda3dc012be6d016a04bdde69 | 2026-01-07T09:46:00.525197Z | false |
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