go-datarobot

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datarobot supporting app and api client

go-datarobot 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

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go-datarobot
----

[![GoDoc][1]][2] [![License: Apache 2.0][23]][24] [![Release][5]][6] [![Build Status][7]][8] [![Codecov Coverage][11]][12] [![Go Report Card][13]][14] [![Code Climate][19]][20] [![BCH compliance][21]][22]

[1]: https://godoc.org/github.com/evalphobia/go-datarobot?status.svg
[2]: https://godoc.org/github.com/evalphobia/go-datarobot
[3]: https://img.shields.io/badge/License-MIT-blue.svg
[4]: LICENSE.md
[5]: https://img.shields.io/github/release/evalphobia/go-datarobot.svg
[6]: https://github.com/evalphobia/go-datarobot/releases/latest
[7]: https://travis-ci.org/evalphobia/go-datarobot.svg?branch=master
[8]: https://travis-ci.org/evalphobia/go-datarobot
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[11]: https://codecov.io/github/evalphobia/go-datarobot/coverage.svg?branch=master
[12]: https://codecov.io/github/evalphobia/go-datarobot?branch=master
[13]: https://goreportcard.com/badge/github.com/evalphobia/go-datarobot
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[15]: https://img.shields.io/github/downloads/evalphobia/go-datarobot/total.svg?maxAge=1800
[16]: https://github.com/evalphobia/go-datarobot/releases
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[20]: https://codeclimate.com/github/evalphobia/go-datarobot
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[22]: https://bettercodehub.com/
[23]: https://img.shields.io/badge/License-Apache%202.0-blue.svg
[24]: LICENSE.md

- `go-datarobot` is golang cli app to get prediction result from [Datarobot](https://www.datarobot.com/) API and add class probabilities into the csv file.

- `go-datarobot/apiclient` is [Datarobot](https://www.datarobot.com/) API client for Golang.

# Quick Usage

## command line

```sh
# install
$ go get github.com/evalphobia/go-datarobot

# check input data
$ cat ./example/input.csv

user_id,flag
1,true
2,false

# execute to predict from input csv data
$ go-datarobot \
    -input ./example/input.csv \
    -output ./example/output.csv \
    -user example@example.com \
    -token <your api token> \
    -project <project id> \
    -model <model id>

======== running setting ==========
input: ./example/input.csv
output: ./example/output.csv
user: example@example.com
project: <project id>
model: <model id>
block size: 1000
====================================
[INFO] send request: part=0
[INFO] send request: part=1
[INFO] finished reading all lines
[INFO] finished request: part=1
[INFO] write line: part=1
[INFO] finished request: part=0
[INFO] write line: part=0
[INFO] finished all requests
end

# show predict result
$ cat ./example/output.csv

user_id,flag,true,false
1,true,0.9929134249687195,0.007086575031280518
2,false,0.0012341737747192383,0.9987658262252808
```

### Options

- `-input`: input csv file path (required)
- `-output`: output csv file path (required)
- `-user`: datarobot account user name (required)
- `-token`: datarobot account api token (required)
- `-project`: datarobot account project id (required)
- `-model`: datarobot account model id (required)
- `-block`: row data size to send api request (default:1000)

## API client

### predict API

```go
import(
	"github.com/evalphobia/go-datarobot/apiclient/config"
	"github.com/evalphobia/go-datarobot/apiclient/predict"
)

func main(){
	user := "example@example.com"
	token := "<your api token>"
	c := config.NewWithToken(user, token)

row1 := map[string]interface{}{
		"user_id": 1,
		"flag": true,
	}
	row2 := map[string]interface{}{
		"user_id": 2,
		"flag": false,
	}
	items := []map[string]interface{}{
		row1,
		row2,
	}

resp, err := predict.Predict(c, predict.Param{
		ProjectID: "<project id>",
		ModelID:   "<model id>",
		Data:      items,
	})
	if err != nil {
		panic(err)
	}

fmt.Printf("predictions: %v\n", resp.Predictions)
}
```

# License

Apache License, Version 2.0

go-datarobot

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