提交 219bfae2 编写于 作者: B barrierye

add doc for JAVA_SDK

上级 58149cd1
# Paddle Serving Client Java SDK
([简体中文](JAVA_SDK_CN.md)|English)
Paddle Serving provides Java SDK,which supports predict on the Client side with Java language. This document shows how to use the Java SDK.
## Getting started
### Prerequisites
```
- Java 8 or higher
- Apache Maven
```
The following table shows compatibilities between Paddle Serving Server and Java SDK.
| Paddle Serving Server version | Java SDK version |
| :---------------------------: | :--------------: |
| 0.3.2 | 0.0.1 |
### Install Java SDK
You can use Apache Maven to download the SDK.
```shell
<dependency>
<groupId>io.paddle.serving.client</groupId>
<artifactId>paddle-serving-sdk-java</artifactId>
<version>0.0.1</version>
</dependency>
```
## Example
Here we will show how to use Java SDK for Boston house price prediction. Please refer to [examples](../java/examples) folder for more examples.
### Get model
```shell
wget --no-check-certificate https://paddle-serving.bj.bcebos.com/uci_housing.tar.gz
tar -xzf uci_housing.tar.gz
```
### Start Python Server
```shell
python -m paddle_serving_server.serve --model uci_housing_model --port 9393 --use_multilang
```
#### Client side code example
```java
import io.paddle.serving.client.*;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;
import java.util.*;
public class PaddleServingClientExample {
public static void main( String[] args ) {
float[] data = {0.0137f, -0.1136f, 0.2553f, -0.0692f,
0.0582f, -0.0727f, -0.1583f, -0.0584f,
0.6283f, 0.4919f, 0.1856f, 0.0795f, -0.0332f};
INDArray npdata = Nd4j.createFromArray(data);
HashMap<String, INDArray> feed_data
= new HashMap<String, INDArray>() {{
put("x", npdata);
}};
List<String> fetch = Arrays.asList("price");
Client client = new Client();
String target = "localhost:9393";
boolean succ = client.connect(target);
if (succ != true) {
System.out.println("connect failed.");
return ;
}
Map<String, INDArray> fetch_map = client.predict(feed_data, fetch);
if (fetch_map == null) {
System.out.println("predict failed.");
return ;
}
for (Map.Entry<String, INDArray> e : fetch_map.entrySet()) {
System.out.println("Key = " + e.getKey() + ", Value = " + e.getValue());
}
return ;
}
}
```
# Paddle Serving Client Java SDK
(简体中文|[English](JAVA_SDK.md))
Paddle Serving 提供了 Java SDK,支持 Client 端用 Java 语言进行预测,本文档说明了如何使用 Java SDK。
## 快速开始
### 环境要求
```
- Java 8 or higher
- Apache Maven
```
下表显示了 Paddle Serving Server 和 Java SDK 之间的兼容性
| Paddle Serving Server version | Java SDK version |
| :---------------------------: | :--------------: |
| 0.3.2 | 0.0.1 |
### 安装
您可以使用 Apache Maven 下载该 SDK。
```shell
<dependency>
<groupId>io.paddle.serving.client</groupId>
<artifactId>paddle-serving-sdk-java</artifactId>
<version>0.0.1</version>
</dependency>
```
## 使用样例
这里将展示如何使用 Java SDK 进行房价预测,更多例子详见 [examples](../java/examples) 文件夹。
### 获取房价预测模型
```shell
wget --no-check-certificate https://paddle-serving.bj.bcebos.com/uci_housing.tar.gz
tar -xzf uci_housing.tar.gz
```
### 启动 Python 端 Server
```shell
python -m paddle_serving_server.serve --model uci_housing_model --port 9393 --use_multilang
```
### Client 端代码示例
```java
import io.paddle.serving.client.*;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;
import java.util.*;
public class PaddleServingClientExample {
public static void main( String[] args ) {
float[] data = {0.0137f, -0.1136f, 0.2553f, -0.0692f,
0.0582f, -0.0727f, -0.1583f, -0.0584f,
0.6283f, 0.4919f, 0.1856f, 0.0795f, -0.0332f};
INDArray npdata = Nd4j.createFromArray(data);
HashMap<String, INDArray> feed_data
= new HashMap<String, INDArray>() {{
put("x", npdata);
}};
List<String> fetch = Arrays.asList("price");
Client client = new Client();
String target = "localhost:9393";
boolean succ = client.connect(target);
if (succ != true) {
System.out.println("connect failed.");
return ;
}
Map<String, INDArray> fetch_map = client.predict(feed_data, fetch);
if (fetch_map == null) {
System.out.println("predict failed.");
return ;
}
for (Map.Entry<String, INDArray> e : fetch_map.entrySet()) {
System.out.println("Key = " + e.getKey() + ", Value = " + e.getValue());
}
return ;
}
}
```
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