https://github.com/bugthesystem/neurolog

Go inteface to access `neural-redis`
https://github.com/bugthesystem/neurolog

golang neural-network redis

Last synced: 2 months ago
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Go inteface to access `neural-redis`

• Host: GitHub
• URL: https://github.com/bugthesystem/neurolog
• Owner: bugthesystem
• License: mit
• Created: 2016-10-02T10:29:20.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2017-06-01T12:22:11.000Z (over 7 years ago)
• Last Synced: 2024-10-12T01:25:25.570Z (3 months ago)
• Topics: golang, neural-network, redis
• Language: Go
• Homepage:
• Size: 811 KB
• Stars: 12
• Watchers: 3
• Forks: 2
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
Neurolog

================

> A Go-lang interface to access [`neural-redis`](https://github.com/antirez/neural-redis)

Documetation on [GoDoc](https://godoc.org/github.com/ziyasal/neurolog/neurolog)

**Build Docker image**  

It contains `redis-server` and `neural-redis` pre-configured

```sh

docker built -t neurolog .

```

**To run container**

```sh

docker run -d --name neural-redis -p 6379:6379 neurolog

```

**To connect using `redis-cli`**

```sh

docker run -it --link neural-redis:neurolog --rm reurolog redis-cli -h neurolog -p 6379

```

**Usage (Preview)**

```go

package main

import (

        "fmt"

        "time"

	"github.com/ziyasal/neurolog/neurolog"

)

func main() {

	options := neurolog.Options{

		Name:            "additions",

		Type:            "regressor",

		Inputs:          []string{"number1", "number2"},

		Outputs:         []string{"result"},

		HiddenLayers:    []int{3},

		DatasetSize:     50,

		TestDatasetSize: 10,

		RedisHost:       "localhost:6379",

	}

	network := neurolog.New(options)

    network.ObserveTrain(map[string]int64{"number1":3, "number2":5}, map[string]int64{"result":8})

    

    network.Train(0,0,true,true)

    

    for network.IsTraining() {

        fmt.Println("Training")

        time.Sleep(1)

    }

    

    fmt.Println(network.Run(map[string]int64{"number1":1, "number2":2}))

}

```