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[docs] update easyrec processor related documents #416
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docs/source/predict/processor.md
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<tr><th>版本</th><th>说明</th></tr> | ||
<tr><td>easyrec</td><td>AVX Kernel优化; 支持召回模型(faiss index); 支持GPU推理</td></tr> | ||
<tr><td>easyrec-1.2</td><td>优化weighted category embedding</td></tr> | ||
<tr><td>easyrec-1.3</td><td>支持feature store; 支持从max compute加载数据</td></tr> |
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支持PAI-FeatureStore
docs/source/predict/processor.md
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<table class="docutils" border=1> | ||
<tr><th>版本</th><th>说明</th></tr> | ||
<tr><td>easyrec</td><td>AVX Kernel优化; 支持召回模型(faiss index); 支持GPU推理</td></tr> |
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支持本地召回引擎(开源faiss向量召回引擎)
docs/source/predict/在线预测.md
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## 客户端请求 | ||
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模型部署到线上后,线上需构造请求数据,具体请参考文档[TensorFlow服务请求](https://help.aliyun.com/document_detail/111055.html). |
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@@ -1,10 +1,10 @@ | |||
# RTP FG | |||
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- RTP FG能够以比较高的效率生成一些复杂的特征,如MatchFeature和LookupFeature, 线上线下使用同一套代码保证一致性. |
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增加一下RTP FG 的全称: realtime predict feature generate
同一套c++,是指离线fg和线上servering时候的一致性。
离线c++ 是指 fg_on_odps-1.3.59-jar-with-dependencies.jar 里面通过jni调用c++ fg代码。
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