# jedis-ml

**Repository Path**: mirrors_RedisLabs/jedis-ml

## Basic Information

- **Project Name**: jedis-ml
- **Description**: Add Redis-ML commands to Jedis
- **Primary Language**: Unknown
- **License**: AGPL-3.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-18
- **Last Updated**: 2026-10-22

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

---
#### Notice RedisML is planned to be replaced by [RedisAI](http://redisai.io), adding support for deep learning.
***

# jedis-ml

### Add  [Redis-ML](https://github.com/RedisLabsModules/redis-ml "Redis-ML") commands to  [Jedis](https://github.com/xetorthio/jedis "Jedis")  


## Installation:

```sh
#get and build jedis
git clone https://github.com/xetorthio/jedis.git
cd jedis
mvn package -Dmaven.test.skip=true

#get and build jedis-ml
cd..
git clone https://github.com/RedisLabs/jedis-ml.git
cd jedis-ml
cp ../jedis/target/jedis-3.0.0-SNAPSHOT.jar lib/
mvn install 
```



### Usage:

add jedis-ml/target/jedis-ml-1.0-SNAPSHOT.jar to the classpath.

Scala example (create a forest):

```scala
import com.redislabs.client.redisml.MLClient
import redis.clients.jedis.{Jedis, _}
val jedis = new Jedis("localhost")
val cmdArr = Array("my_forest","0",".","numeric","1","0.7")
jedis.getClient.sendCommand(MLClient.ModuleCommand.FOREST_ADD, cmdArr: _*)
jedis.getClient().getStatusCodeReply
```



### Command list:

 FOREST_ADD 

 FOREST_RUN 

 FOREST_TEST 

 LINREG_SET

 LINREG_PREDICT 

 LOGREG_SET 

 LOGREG_PREDICT

 MATRIX_SET 

 MATRIX_MULTIPLY 

 MATRIX_ADD 

 MATRIX_SCALE

 MATRIX_PRINT 

 MATRIX_TEST