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SQLFlow release 20190927
Yan Xu edited this page Sep 16, 2019
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| 任务 | 负责人 |
|---|---|
| Hive平台对接 | @YanXu @WeiChuan @ChenXiang |
| AntXGBoost | @LueWei @WenJing |
| 模型可解释性(SHAP) | @WeiChuan @YangYang |
| Clustering Model | @Wenjing @Chenxiang @YanXu |
| XGboost | @YanXu @Wuyi |
| 类型 | 任务 | 负责人 | 状态 | DDL |
|---|---|---|---|---|
| DOC | SQLFlow on Hive tutorial | @yanxu | ||
| DOC | Tensorflow tutorial | @yangyang | ||
| DOC | dmlc/xgboost tutorial | @yanxu | Review, PR: 820 | 9.16 |
| DOC | Analyze Tutorial | @weichuan | WIP, PR: 801 | 09.16 |
| DOC | Clustering Tutorial | @wenjing | 09.18 | |
| DOC | 优化文档目录结构 | @wuyi | WIP, PR: 821 | |
| DOC | SQLFlow 用户文档重新梳理 | |||
| DOC | update home page: sqlflow.org | @weichuan | ||
| DOC | write a blog on medium about this release | @wangyi | ||
| DEV | Tensorflow & XGBoost 模型训练/预测 在 DiDi 验证全流程 1. 基于公开数据集Iris 2. 基于私有数据集 |
@chenxiang | DataSource=Hive, ModelDir为本地目录的 DNN 模型验证已经通过 DataSource=Hive, ModelDir为本地目录的 XGBoost 模型验证通过90%, prediction写入Hive时存在问题. issue-755 |
09.04 |
| DEV | Clustering codegen | @chenxiang | issue: 768 | 09.18 |
| DEV | Clustering SQLFlow models | @chenxiang | ||
| DEV | Clustering 模型训练/预测 在 Didi 验证全流程 | @chenxiang | ||
| DEV | SQLFlow Playground on Aliyun | |||
| Release | Prepare the public dataset for DiDi case | @Jeremy | 9.13 | |
| Release | A Docker image with the public dataset and DiDi demo | @wenjing | 9.20 | |
| Release | create a tag | @wuyi | branch: release-0.1 | |
| Release | show demo |
| 任务 | 负责人 | 状态 |
|---|---|---|
| AntXGBoost 对接 hive 权限配置 | @luewei | DONE, PR: 729 |
| [bug] HiveDBWriter mismatch hive table schema | @yanxu | DONE, PR: 756 |
| [bug] select prediction result table of antxgboost failed | @yanxu | DONE, https://github.com/sql-machine-learning/sqlflow/issues/770 |
| AntXGBoost Tutorial | @luewei | DONE, PR: 772 |
| SHAP codegen | @weiguoz | DONE, PR: 798 |
| Design clustering | @wenjing | DONE, PR: 737 |
| xgboost train codegen | @yanxu | DONE, issue: 749 |
| xgboost pred codegen | @wuyi | DONE, PR: 789 |
| verify with SHAP | @yanxu | DONE, PR: 790 |