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jarviszeng-zjc committed Oct 16, 2020
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5 changes: 2 additions & 3 deletions README.md
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Expand Up @@ -30,7 +30,7 @@ FATE can be installed on Linux or Mac. Now, FATE can support:
- Cluster (multi-node) deployment by Kubernetes

### Native installation:
Software environment :jdk1.8+、Python3.6、python virtualenv、mysql5.6+、redis-5.0.2
Software environment :jdk1.8+、Python3.6、python virtualenv、mysql5.6+

##### Standalone
FATE provides Standalone runtime architecture for developers. It can help developers quickly test FATE. Standalone support two types of deployment: Docker version and Manual version. Please refer to Standalone deployment guide: [standalone-deploy](./standalone-deploy/)
Expand All @@ -40,7 +40,6 @@ FATE also provides a distributed runtime architecture for Big Data scenario. Mig

To deploy FATE on a cluster, please refer to cluster deployment guide: [cluster-deploy](./cluster-deploy).


### KubeFATE installation:
Using KubeFATE, FATE can be deployed by either docker-compose or Kubernetes:

Expand All @@ -67,7 +66,7 @@ All the unittests shall pass if FATE is installed properly.
We have provided a tutorial for quick starting modeling task. This tutorial is located at [python/fate_client/pipeline](./python/fate_client/pipeline)

### Obtain Model and Check Out Results
We provided functions such as tracking component output models or logs etc. through a tool called fate-flow. The deployment and usage of fate-flow can be found [here](./python/fate_flow/README.rst)
We provided functions such as tracking component output models or logs etc. through a tool called fate-flow. The deployment and usage of fate-flow can be found [here](./python/fate_flow/README.md)


## Doc
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4 changes: 2 additions & 2 deletions README_zh.md
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Expand Up @@ -24,7 +24,7 @@ FATE支持Linux或Mac操作系统,当前FATE支持:
* KubeFATE部署

### Native部署
运行环境: jdk1.8+、Python3.6、python virtualenv、mysql5.6+、redis-5.0.2
运行环境: jdk1.8+、Python3.6、python virtualenv、mysql5.6+
##### 单机部署

FATE为开发人员提供了单机部署架构版本。单机部署版本可以帮助开发人员快速开发以及测试FATE。该版本支持两种类型:1)Docker;2)手动编译。
Expand Down Expand Up @@ -63,7 +63,7 @@ FATE同样为大数据场景提供了分布式运行部署架构版本。从单
我们提供了一个用于快速搭建训练任务的python脚本作为示例。该脚本位于:[python/fate_client/pipeline](./python/fate_client/pipeline)

### 获取模型并检查结果
FATE提供了名为 fate-flow 的工具用来跟踪组件输出模型或日志。fate-flow的部署和使用可以在 [这里](./python/fate_flow/README.rst) 找到。
FATE提供了名为 fate-flow 的工具用来跟踪组件输出模型或日志。fate-flow的部署和使用可以在 [这里](./python/fate_flow/README_zh.md) 找到。


## 文档资料
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2 changes: 1 addition & 1 deletion cluster-deploy/doc/FATE_ON_SPARK_deployment_guide_zh.md
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Expand Up @@ -333,7 +333,7 @@ make && make install
## 5.8 部署rabbitmq
--------
### 5.8.1
请参阅部署指南:[RabbitMQ_deployment_guide_zh](./RabbitMQ_deployment_guide_zh.md)
请参阅部署指南:[RabbitMQ_deployment_guide_zh](./RabitMQ_deployment_guide_zh.md)
### 5.8.2
请参阅官方部署指南
### 5.8.3
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