Merge pull request #745 from dianna-ai/KernalSHAP-tutorials-marks

Update READMEs with KernalSHAP mark and links

README.md

@@ -319,7 +319,7 @@ DIANNA supports different data modalities and XAI methods (explainers). We have
 | Images     | ✅                                                | ✅                                                                 | ✅                                                                                                   |
 | Text       | ✅                                                | ✅                                                                 |                                                                                                      |
 | Timeseries | ✅                                                | ✅                                                                 |                                                                                                                                                                       |
-| Tabular    | planned                                           | ✅                                                            | planned                                                                                              |
+| Tabular    | planned                                           | ✅                                                            | ✅                                                                                              |
 | Embedding  | planned                                           | planned                                                            | planned   
 | Graphs*    | work in progress                                  | work in progress                                                   | work in progress                                                                                     |
 

tutorials/README.md

@@ -41,8 +41,8 @@ Run the **tutorials** directly in Google Colab by clicking on the Colab buttons
 |*Text* |[<img width="25" alt="nlp-logo_half_size" src="https://user-images.githubusercontent.com/3244249/152540890-c8e1e37d-f0cc-4f84-80a4-2c59176cbf4c.png">](./explainers/RISE/rise_text.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/RISE/rise_text.ipynb) |[<img width="25" alt="nlp-logo_half_size" src="https://user-images.githubusercontent.com/3244249/152540890-c8e1e37d-f0cc-4f84-80a4-2c59176cbf4c.png">](./explainers/LIME/lime_text.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/LIME/lime_text.ipynb)  |[]()|
 | *Time series*| [<img width="25" alt="Weather Logo" src="https://user-images.githubusercontent.com/3244249/242001499-3ff3d639-ed2f-4a38-b7ac-957c984bce9f.png">](./explainers/RISE/rise_timeseries_weather.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/RISE/rise_timeseries_weather.ipynb)| [<img width="25" alt="Weather Logo" src="https://user-images.githubusercontent.com/3244249/242001499-3ff3d639-ed2f-4a38-b7ac-957c984bce9f.png">](./explainers/LIME/lime_timeseries_weather.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/LIME/lime_timeseries_weather.ipynb)| |
 | | [<img width="25" alt="FRB logo" src="https://github.com/dianna-ai/dianna/assets/6370787/f53b280d-94b0-40ec-bfe7-ee48777d7964">](./explainers/RISE/rise_timeseries_frb.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/RISE/rise_timeseries_frb.ipynb) | [<img width="25" alt="Coffee Logo" src="https://user-images.githubusercontent.com/3244249/241999275-9ab50a0f-5da3-41d2-80e9-70d2c8769162.jpg">](./explainers/LIME/lime_timeseries_coffee.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/LIME/lime_timeseries_coffee.ipynb) | |
-| *Tabular* | | [<img width="75" alt="Penguin Logo" src="https://github.com/dianna-ai/dianna/assets/3244249/c7716ad3-f992-4557-80d9-1d8178c7ed57">](./explainers/LIME/lime_tabular_penguin.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/LIME/lime_tabular_penguin.ipynb) | |
-| | | [<img width="25" alt="Weather Logo" src="https://user-images.githubusercontent.com/3244249/242001499-3ff3d639-ed2f-4a38-b7ac-957c984bce9f.png">](./explainers/LIME/lime_tabular_weather.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/LIME/lime_tabular_weather.ipynb)| |
+| *Tabular* | | [<img width="75" alt="Penguin Logo" src="https://github.com/dianna-ai/dianna/assets/3244249/c7716ad3-f992-4557-80d9-1d8178c7ed57">](./explainers/LIME/lime_tabular_penguin.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/LIME/lime_tabular_penguin.ipynb) |[<img width="75" alt="Penguin Logo" src="https://github.com/dianna-ai/dianna/assets/3244249/c7716ad3-f992-4557-80d9-1d8178c7ed57">](./explainers/KernelSHAP/kernelshap_tabular_penguin.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/KernelSHAP/kernelshap_tabular_penguin.ipynb) |
+| | | [<img width="25" alt="Weather Logo" src="https://user-images.githubusercontent.com/3244249/242001499-3ff3d639-ed2f-4a38-b7ac-957c984bce9f.png">](./explainers/LIME/lime_tabular_weather.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/KernelSHAP/kernelshap_tabular_weather.ipynb)|[<img width="25" alt="Weather Logo" src="https://user-images.githubusercontent.com/3244249/242001499-3ff3d639-ed2f-4a38-b7ac-957c984bce9f.png">](./explainers/KernelSHAP/kernelshap_tabular_weather.ipynb) or [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/dianna-ai/dianna/blob/main/tutorials/explainers/KernelSHAP/kernelshap_tabular_weather.ipynb) |
 
 To learn more about how we aproach the masking for time-series data, please read our [Masking time-series for XAI](https://blog.esciencecenter.nl/masking-time-series-for-explainable-ai-90247ac252b4) blog-post.