未验证 提交 2bb4183e 编写于 作者: Y YixinKristy 提交者: GitHub

Add filename instructions in EN & Update HiDi in EN&CN (#890)

* Add filename instructions and replace the hidi gif

* Update README.md

* Update README_CN.md

* Update UserGuide-en.md
上级 19e5e52e
...@@ -117,6 +117,16 @@ class LogWriter(logdir=None, ...@@ -117,6 +117,16 @@ class LogWriter(logdir=None,
| filename_suffix | string | Add a suffix to the default log file name. | | filename_suffix | string | Add a suffix to the default log file name. |
| write_to_disk | boolean | Write into disk or not. | | write_to_disk | boolean | Write into disk or not. |
| display_name | string | Set the name of different runs when `logdir` is too long or needed to be hidden. If not set, the default name is `logdir`. | | display_name | string | Set the name of different runs when `logdir` is too long or needed to be hidden. If not set, the default name is `logdir`. |
| file_name | string | Set the name of the log file. If the file_name already exists, setting the file_name means to continue to add new records in the same log file. Note that the name should include 'vdlrecords'.|
<p align="center">
<img src="https://user-images.githubusercontent.com/48054808/103187556-b9714280-48ff-11eb-9052-008e02a21199.png" width="100%"/>
</p>
<p align="center">
<img src="https://user-images.githubusercontent.com/48054808/103187552-b4ac8e80-48ff-11eb-998a-57d5a1bc7ee6.png" width="100%"/>
</p>
#### Example #### Example
...@@ -285,10 +295,10 @@ Histogram displays how the trend of tensors (weight, bias, gradient, etc.) chang ...@@ -285,10 +295,10 @@ Histogram displays how the trend of tensors (weight, bias, gradient, etc.) chang
### High Dimensional ### High Dimensional
**High Dimensional** provides two approaches--T-SNE and PCA--to do the dimensionality reduction, allowing developers to have an in-depth analysis of the relationship between high-dimensional data and to optimize algorithms based on the analysis. **High Dimensional** provides three approaches--T-SNE, PCA and UMAP--to do the dimensionality reduction, allowing developers to have an in-depth analysis of the relationship between high-dimensional data and to optimize algorithms based on the analysis.
<p align="center"> <p align="center">
<img src="https://user-images.githubusercontent.com/48054808/90870677-85739700-e3cc-11ea-8653-18fa5c4106a3.GIF" width="85%"/> <img src="https://user-images.githubusercontent.com/48054808/103188111-1b32ac00-4902-11eb-914e-c2368bdb8373.gif" width="85%"/>
</p> </p>
......
...@@ -124,6 +124,14 @@ class LogWriter(logdir=None, ...@@ -124,6 +124,14 @@ class LogWriter(logdir=None,
| display_name | string | 在面板中替换实际显示的`logdir`,当日志所在路径过长或想隐藏日志所在路径时可指定此参数 | | display_name | string | 在面板中替换实际显示的`logdir`,当日志所在路径过长或想隐藏日志所在路径时可指定此参数 |
| file_name | string | 指定写入的日志文件名,如果指定的文件名已经存在,则将日志续写在此文件中,文件名必须包括`vdlrecords` | | file_name | string | 指定写入的日志文件名,如果指定的文件名已经存在,则将日志续写在此文件中,文件名必须包括`vdlrecords` |
<p align="center">
<img src="https://user-images.githubusercontent.com/48054808/103187556-b9714280-48ff-11eb-9052-008e02a21199.png" width="100%"/>
</p>
<p align="center">
<img src="https://user-images.githubusercontent.com/48054808/103187552-b4ac8e80-48ff-11eb-998a-57d5a1bc7ee6.png" width="100%"/>
</p>
#### 示例 #### 示例
设置日志文件并记录标量数据: 设置日志文件并记录标量数据:
...@@ -340,10 +348,10 @@ value: 3.1297709941864014 ...@@ -340,10 +348,10 @@ value: 3.1297709941864014
### High Dimensional ### High Dimensional
将高维数据进行降维展示,目前支持T-SNE、PCA种降维方式,用于深入分析高维数据间的关系,方便用户根据数据特征进行算法优化。 将高维数据进行降维展示,目前支持T-SNE、PCA、UMAP三种降维方式,用于深入分析高维数据间的关系,方便用户根据数据特征进行算法优化。
<p align="center"> <p align="center">
<img src="https://user-images.githubusercontent.com/48054808/82396340-3e4dd100-9a80-11ea-911d-798acdbc9c90.gif" width="85%"/> <img src="https://user-images.githubusercontent.com/48054808/103188111-1b32ac00-4902-11eb-914e-c2368bdb8373.gif" width="85%"/>
</p> </p>
......
...@@ -707,33 +707,33 @@ visualdl --logdir ./log --port 8080 ...@@ -707,33 +707,33 @@ visualdl --logdir ./log --port 8080
接着在浏览器打开`http://127.0.0.1:8080`,即可查看降维后的可视化数据。 接着在浏览器打开`http://127.0.0.1:8080`,即可查看降维后的可视化数据。
<p align="center"> <p align="center">
<img src="https://visualdl.bj.bcebos.com/images/dynamic_high_dimensional.gif" width="80%"/> <img src="https://user-images.githubusercontent.com/48054808/103188111-1b32ac00-4902-11eb-914e-c2368bdb8373.gif" width="85%"/>
</p> </p>
### 功能操作说明 ### 功能操作说明
* 支持展示特定打点数据 * 支持选择特定实验数据进行展示,且支持根据所选择的数据标签进行展示
<p align="center"> <p align="center">
<img src="https://user-images.githubusercontent.com/48054808/83006541-f6f9ae80-a044-11ea-82d9-03f1c99a310a.png" width="30%"/> <img src="https://user-images.githubusercontent.com/48054808/103191809-4e306c00-4911-11eb-853f-e143ef86e182.png" width="30%"/>
</p> </p>
* 可搜索展示特定数据标签或展示所有数据标签 * 降维方式--TSNE
<p align="center"> <p align="center">
<img src="https://user-images.githubusercontent.com/48054808/83006580-0842bb00-a045-11ea-9f7b-776f80ae8b90.png" width="30%"/> <img src="https://user-images.githubusercontent.com/48054808/103192762-cea49c00-4914-11eb-896c-070b0bf0e2ea.png" width="27%"/>
</p> </p>
* 支持「二维」或「三维」展示高维数据分布 * 降维方式--PCA
<p align="center"> <p align="center">
<img src="https://user-images.githubusercontent.com/48054808/83006687-2f998800-a045-11ea-888e-2b59e16a92b9.png" width="27%"/> <img src="https://user-images.githubusercontent.com/48054808/103192341-47a2f400-4913-11eb-9995-fdc0acadbdc9.png" width="27%"/>
</p> </p>
* 可选择「PCA」或「T-SNE」作为降维方式 * 降维方式--UMAP
<p align="center"> <p align="center">
<img src="https://user-images.githubusercontent.com/48054808/83006747-3fb16780-a045-11ea-83e0-a314b7765108.png" width="27%"/> <img src="https://user-images.githubusercontent.com/48054808/103192766-d2d0b980-4914-11eb-871e-e4b31542c5e9.png" width="27%"/>
</p> </p>
......
...@@ -711,33 +711,33 @@ visualdl --logdir ./log --port 8080 ...@@ -711,33 +711,33 @@ visualdl --logdir ./log --port 8080
Then, open the browser and enter the address`http://127.0.0.1:8080` to view: Then, open the browser and enter the address`http://127.0.0.1:8080` to view:
<p align="center"> <p align="center">
<img src="https://user-images.githubusercontent.com/48054808/90880543-341ed400-e3db-11ea-8fdc-8b914704b916.GIF" width="80%"/> <img src="https://user-images.githubusercontent.com/48054808/103188111-1b32ac00-4902-11eb-914e-c2368bdb8373.gif" width="85%"/>
</p> </p>
### Functional Instrucions ### Functional Instrucions
* Developers are allowed to select specific run of data to display * Developers are allowed to select specific runs of data or certain labels of data to display
<p align="center"> <p align="center">
<img src="https://user-images.githubusercontent.com/48054808/90880592-48fb6780-e3db-11ea-9d87-bd54716839aa.png" width="30%"/> <img src="https://user-images.githubusercontent.com/48054808/103191809-4e306c00-4911-11eb-853f-e143ef86e182.png" width="30%"/>
</p> </p>
* Developers can find specific labels by searching tags or view the all labels * TSNE
<p align="center"> <p align="center">
<img src="https://user-images.githubusercontent.com/48054808/90880759-9aa3f200-e3db-11ea-8b66-ecc890ffdaf9.png" width="30%"/> <img src="https://user-images.githubusercontent.com/48054808/103192762-cea49c00-4914-11eb-896c-070b0bf0e2ea.png" width="27%"/>
</p> </p>
* Support "2D" or "3D" forms to display the high-dimensional data distribution * PCA
<p align="center"> <p align="center">
<img src="https://user-images.githubusercontent.com/48054808/90880813-ad1e2b80-e3db-11ea-8540-5e78075dfb69.png" width="27%"/> <img src="https://user-images.githubusercontent.com/48054808/103192341-47a2f400-4913-11eb-9995-fdc0acadbdc9.png" width="27%"/>
</p> </p>
* PCA and T-SNE are supported * UMAP
<p align="center"> <p align="center">
<img src="https://user-images.githubusercontent.com/48054808/90880856-bf986500-e3db-11ea-8ffd-261b56d8e730.png" width="27%"/> <img src="https://user-images.githubusercontent.com/48054808/103192766-d2d0b980-4914-11eb-871e-e4b31542c5e9.png" width="27%"/>
</p> </p>
......
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