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[release] version 3.0.3 (apache#13131)
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@zhongjiajie
zhongjiajie authored Dec 8, 2022
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3 changes: 2 additions & 1 deletion .flake8
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Expand Up @@ -25,4 +25,5 @@ ignore =
D107, # D107: Don't require docstrings on __init__
D105, # D105: Missing docstring in magic method
# Conflict to Black
W503 # W503: Line breaks before binary operators
W503, # W503: Line breaks before binary operators
D100 # Missing docstring in public module
2 changes: 2 additions & 0 deletions docs/configs/index.md.jsx
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Expand Up @@ -47,6 +47,7 @@ import docs207Config from '../../../site_config/docs2-0-7';
import docs300Config from '../../../site_config/docs3-0-0';
import docs301Config from '../../../site_config/docs3-0-1';
import docs302Config from '../../../site_config/docs3-0-2';
import docs303Config from '../../../site_config/docs3-0-3';
import docs310Config from '../../../site_config/docs3-1-0';
import docs311Config from '../../../site_config/docs3-1-1';
import docsDevConfig from '../../../site_config/docsdev';
Expand All @@ -72,6 +73,7 @@ const docsSource = {
'3.0.0': docs300Config,
'3.0.1': docs301Config,
'3.0.2': docs302Config,
'3.0.3': docs303Config,
'3.1.0': docs310Config,
'3.1.1': docs311Config,
dev: docsDevConfig,
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8 changes: 4 additions & 4 deletions docs/configs/site.js
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Expand Up @@ -50,8 +50,8 @@ export default {
},
{
key: 'docs1',
text: '3.0.2',
link: '/en-us/docs/3.0.2/user_doc/about/introduction.html',
text: '3.0.3',
link: '/en-us/docs/3.0.3/user_doc/about/introduction.html',
},
{
key: 'docs2',
Expand Down Expand Up @@ -178,8 +178,8 @@ export default {
},
{
key: 'docs1',
text: '3.0.2',
link: '/zh-cn/docs/3.0.2/user_doc/about/introduction.html',
text: '3.0.3',
link: '/zh-cn/docs/3.0.3/user_doc/about/introduction.html',
},
{
key: 'docs2',
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2 changes: 1 addition & 1 deletion docs/docs/en/contribute/release/release-prepare.md
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Expand Up @@ -21,7 +21,7 @@ For example, to release `x.y.z`, the following updates are required:
- `soft_version`: need to be updated to x.y.z
- `deploy/docker/.env`: `HUB` change to `apache`，`TAG` change to `x.y.z`
- `deploy/kubernetes/dolphinscheduler`:
- `Chart.yaml`: `appVersion` needs to be updated to x.y.z (`version` is helm chart version，incremented and different from x.y.z)
- `Chart.yaml`: `appVersion` and `version` needs to be updated to x.y.z
- `values.yaml`: `image.tag` needs to be updated to x.y.z
- Version in the docs:
- Change the placeholder `<version>`(except `pom`) to the `x.y.z` in directory `docs`
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4 changes: 2 additions & 2 deletions docs/docs/en/contribute/release/release.md
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Expand Up @@ -469,10 +469,10 @@ the release version is `<VERSION>`, the following updates are required(note it w
- `docs/configs/site.js`:
- `docsLatest`: update to `<VERSION>`
- `docs0`: The `text` of two places of `en-us/zh-cn` needs to be updated to `latest(<VERSION>)`
- `docs/configs/index.md.jsx`: Add `<VERSION>: docsxyzConfig`
- `docs/configs/index.md.jsx`: Add `<VERSION>: docsxyzConfig` and add new `import` for the new `docsxyzConfig`
- `docs/docs/en/history-versions.md` and `docs/docs/zh/history-versions.md`: Add new `<VERSION>` release docs.
- `.github/ISSUE_TEMPLATE/bug-report.yml`: DolphinScheduler's GitHub [bug-report](https://github.com/apache/dolphinscheduler/blob/dev/.github/ISSUE_TEMPLATE/bug-report.yml)
issue template have **Version** selection bottom. So after we release DolphinScheduler we should and the new `<VERSION>` to
issue template have **Version** selection bottom. So after released we should and the new `<VERSION>` to
bug-report.yml
### Find DolphinScheduler in [apache staging repositories](https://repository.apache.org/#stagingRepositories) and click `Release`
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14 changes: 7 additions & 7 deletions docs/docs/en/guide/task/mlflow.md
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Expand Up @@ -61,13 +61,13 @@ The MLflow plugin currently supports and will support the following:

**Task Parameter**

| **Parameter** | **Description** |
|----------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Register Model | Register the model or not. If register is selected, the following parameters are expanded. |
| model name | The registered model name is added to the original model version and registered as Production. |
| Data Path | The absolute path of the file or folder. Ends with .csv for file or contain train.csv and test.csv for folder(In the suggested way, users should build their own test sets for model evaluation). |
| Parameters | Parameter when initializing the algorithm/AutoML model, which can be empty. For example, parameters `n_estimators=200;learning_rate=0.2` for flaml. The convention will be passed with '; 'shards each parameter, using the name before the equal sign as the parameter name, and using the name after the equal sign to get the corresponding parameter value through `python eval()`. The detailed parameter list is as follows: <ul><li>[flaml](https://microsoft.github.io/FLAML/docs/reference/automl#automl-objects)</li><li>[autosklearn](https://automl.github.io/auto-sklearn/master/api.html)</li></ul> |
| AutoML tool | The AutoML tool used, currently supports [autosklearn](https://github.com/automl/auto-sklearn) and [flaml](https://github.com/microsoft/FLAML). |
| **Parameter** | **Description** |
|----------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Register Model | Register the model or not. If register is selected, the following parameters are expanded. |
| model name | The registered model name is added to the original model version and registered as Production. |
| Data Path | The absolute path of the file or folder. Ends with .csv for file or contain train.csv and test.csv for folder(In the suggested way, users should build their own test sets for model evaluation). |
| Parameters | Parameter when initializing the algorithm/AutoML model, which can be empty. For example, parameters `n_estimators=200;learning_rate=0.2` for flaml. The convention will be passed with '; 'shards each parameter, using the name before the equal sign as the parameter name, and using the name after the equal sign to get the corresponding parameter value through `python eval()`. The detailed parameter list is as follows: <ul><li>[flaml](https://microsoft.github.io/FLAML/docs/Use-Cases/Task-Oriented-AutoML)</li><li>[autosklearn](https://automl.github.io/auto-sklearn/master/api.html)</li></ul> |
| AutoML tool | The AutoML tool used, currently supports [autosklearn](https://github.com/automl/auto-sklearn) and [flaml](https://github.com/microsoft/FLAML). |

#### Custom projects

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4 changes: 4 additions & 0 deletions docs/docs/en/history-versions.md
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Expand Up @@ -14,6 +14,10 @@

### Versions: 3.0.2

#### Links： [3.0.3 Document](../3.0.3/user_doc/about/introduction.md)

### Versions: 3.0.2

#### Links： [3.0.2 Document](../3.0.2/user_doc/about/introduction.md)

### Versions: 3.0.1
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2 changes: 1 addition & 1 deletion docs/docs/zh/contribute/release/release-prepare.md
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Expand Up @@ -21,7 +21,7 @@
- `soft_version`: 版本更新为 x.y.z
- `deploy/docker/.env`: `HUB` 改为 `apache`，`TAG` 改为 `x.y.z`
- `deploy/kubernetes/dolphinscheduler`:
- `Chart.yaml`: `appVersion` 版本更新为 x.y.z (`version` 为 helm chart 版本, 增量更新但不要设置为 x.y.z)
- `Chart.yaml`: `appVersion` 和 `version` 版本更新为 x.y.z
- `values.yaml`: `image.tag` 版本更新为 x.y.z
- 修改文档（docs模块）中的版本号:
- 将 `docs` 文件夹下文件的占位符 `<version>` (除了 pom.xml 相关的) 修改成 `x.y.z`
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7 changes: 3 additions & 4 deletions docs/docs/zh/contribute/release/release.md
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Expand Up @@ -468,11 +468,10 @@ svn mv -m "release ${VERSION}" https://dist.apache.org/repos/dist/dev/dolphinsch
- `docs/configs/site.js`:
- `docsLatest`: 更新为 `<VERSION>`
- `docs0`: 两处 `en-us/zh-cn` 的 `text` 更新为 `latest(<VERSION>)`
- `docs/configs/index.md.jsx`: 增加 `'<VERSION>': docsxyzConfig,`
- `docs/configs/index.md.jsx`: 增加 `'<VERSION>': docsxyzConfig,` 以及新的 `import`
- `docs/docs/en/history-versions.md` 和 `docs/docs/zh/history-versions.md`: 增加新的发版版本 `<VERSION>` 的链接
- `.github/ISSUE_TEMPLATE/bug-report.yml`: DolphinScheduler 在 GitHub issue 中有版本选择的部分，当有新版本发版后，需要更新这部分的内容。目前与版本关联的是
[bug-report](https://github.com/apache/dolphinscheduler/blob/dev/.github/ISSUE_TEMPLATE/bug-report.yml)，发版的时候需要
向其中的 **Version** 部分增加内容。
- `.github/ISSUE_TEMPLATE/bug-report.yml`: DolphinScheduler 在 GitHub bug report 的 issue 中有版本选择，当有新的版本发版后，需要更新
[bug-report](https://github.com/apache/dolphinscheduler/blob/dev/.github/ISSUE_TEMPLATE/bug-report.yml) 中的 **Version** 部分。
### 在 [apache staging repositories](https://repository.apache.org/#stagingRepositories) 仓库找到 DolphinScheduler 并点击`Release`
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14 changes: 7 additions & 7 deletions docs/docs/zh/guide/task/mlflow.md
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Expand Up @@ -57,13 +57,13 @@ MLflow 组件用于执行 MLflow 任务，目前包含Mlflow Projects，和MLflo

![mlflow-automl](../../../../img/tasks/demo/mlflow-automl.png)

| **任务参数** | **描述** |
|----------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 注册模型 | 是否注册模型，若选择注册，则会展开以下参数 |
| 注册的模型名称 | 注册的模型名称，会在原来的基础上加上一个模型版本，并注册为Production |
| 数据路径 | 文件/文件夹的绝对路径，若文件需以.csv结尾（自动切分训练集与测试集），文件夹需包含train.csv和test.csv（建议方式，用户应自行构建测试集用于模型评估） |
| 参数 | 初始化AutoML训练器时的参数，可为空，如针对 flaml 设置`time_budget=30;estimator_list=['lgbm']`。约定传入后会以; 切分各个参数，等号前的名字作为参数名，等号后的名字将以python eval执行得到对应的参数值。详细的参数列表如下: [flaml](https://microsoft.github.io/FLAML/docs/reference/automl#automl-objects)，[autosklearn](https://automl.github.io/auto-sklearn/master/api.html) |
| AutoML工具 | 使用的AutoML工具，目前支持 [autosklearn](https://github.com/automl/auto-sklearn)，[flaml](https://github.com/microsoft/FLAML) |
| **任务参数** | **描述** |
|----------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 注册模型 | 是否注册模型，若选择注册，则会展开以下参数 |
| 注册的模型名称 | 注册的模型名称，会在原来的基础上加上一个模型版本，并注册为Production |
| 数据路径 | 文件/文件夹的绝对路径，若文件需以.csv结尾（自动切分训练集与测试集），文件夹需包含train.csv和test.csv（建议方式，用户应自行构建测试集用于模型评估） |
| 参数 | 初始化AutoML训练器时的参数，可为空，如针对 flaml 设置`time_budget=30;estimator_list=['lgbm']`。约定传入后会以; 切分各个参数，等号前的名字作为参数名，等号后的名字将以python eval执行得到对应的参数值。详细的参数列表如下: [flaml](https://microsoft.github.io/FLAML/docs/Use-Cases/Task-Oriented-AutoML)，[autosklearn](https://automl.github.io/auto-sklearn/master/api.html) |
| AutoML工具 | 使用的AutoML工具，目前支持 [autosklearn](https://github.com/automl/auto-sklearn)，[flaml](https://github.com/microsoft/FLAML) |

#### Custom projects

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4 changes: 4 additions & 0 deletions docs/docs/zh/history-versions.md
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Expand Up @@ -12,6 +12,10 @@

#### Links： [3.1.0 文档](../3.1.0/user_doc/about/introduction.md)

### Versions: 3.0.3

#### Links： [3.0.3 文档](../3.0.3/user_doc/about/introduction.md)

### Versions: 3.0.2

#### Links： [3.0.2 文档](../3.0.2/user_doc/about/introduction.md)
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