From dd8f0e647ad81fac3ad0063fa1bf4bc64d6cdb65 Mon Sep 17 00:00:00 2001 From: Elena Ranguelova Date: Fri, 15 Dec 2023 14:55:57 +0100 Subject: [PATCH 1/3] Update README.md Solves issue #678 --- README.md | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/README.md b/README.md index 42d5b481..f9ffcfd7 100644 --- a/README.md +++ b/README.md @@ -231,6 +231,13 @@ DIANNA comes with simple datasets. Their main goal is to provide intuitive insig | [Coffee dataset](https://timeseriesclassification.com/description.php?Dataset=Coffee) Coffe Logo | Food spectographs time series dataset for a two class problem to distinguish between Robusta and Arabica coffee beans. | example image | [data source](https://github.com/QIBChemometrics/Benchtop-NMR-Coffee-Survey) | | [Weather dataset](https://zenodo.org/record/7525955) Weather Logo | The light version of the weather prediciton dataset, which contains daily observations (89 features) for 11 European locations through the years 2000 to 2010. | example image | [data source](https://github.com/florian-huber/weather_prediction_dataset) | +### Tabular + +| Dataset | Description | Examples | Generation | +| :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------- | :------------------------------------------------------------------------ | +| [Pengiun dataset](https://www.kaggle.com/code/parulpandey/penguin-dataset-the-new-iris) Penguins Logo | Palmer Archipelago (Antarctica) penguin dataset is a great intro dataset for data exploration & visualization similar to the famous Iris dataset. | example image | [data source](https://github.com/allisonhorst/palmerpenguins) | +| [Weather dataset](https://zenodo.org/record/7525955) Weather Logo | The light version of the weather prediciton dataset, which contains daily observations (89 features) for 11 European locations through the years 2000 to 2010. | example image | [data source](https://github.com/florian-huber/weather_prediction_dataset) | + ## ONNX models From 90496a422c0d9e2b7d6ef2478ea9a2a300691d14 Mon Sep 17 00:00:00 2001 From: Elena Ranguelova Date: Fri, 15 Dec 2023 15:15:15 +0100 Subject: [PATCH 2/3] Update README.md ONNX models table update --- README.md | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/README.md b/README.md index f9ffcfd7..fa8ac9ca 100644 --- a/README.md +++ b/README.md @@ -274,6 +274,14 @@ And here are links to notebooks showing how we created our models on the benchma | Coffee model | [Coffee model generation](https://github.com/dianna-ai/dianna-exploration/blob/main/example_data/model_generation/coffee/generate_model.ipynb) | | [Season prediction model](https://zenodo.org/record/7543883) | [Season prediction model generation](https://github.com/dianna-ai/dianna-exploration/blob/main/example_data/model_generation/season_prediction/generate_model.ipynb) | +### Tabular + +| Models | Generation | +| :-------------------------------------------------------- | :---------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| Penguin model (classification) | [Penguin model generation](https://github.com/dianna-ai/dianna-exploration/blob/main/example_data/model_generation/penguin_species/generate_model.ipynb) | +| Sunshine hours prediction model (regression) | [Sunshine hours prediction model generation](https://github.com/dianna-ai/dianna-exploration/blob/main/example_data/model_generation/sunshine_prediction/generate_model.ipynb) | + + **_We envision the birth of the ONNX Scientific models zoo soon..._** ## Tutorials From cc18c9c795228f1a640cfcb960d868b53383dd2e Mon Sep 17 00:00:00 2001 From: Elena Ranguelova Date: Fri, 15 Dec 2023 15:18:15 +0100 Subject: [PATCH 3/3] Update README.md Check on LIME for tabular tutorials --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index fa8ac9ca..2d420ac2 100644 --- a/README.md +++ b/README.md @@ -294,9 +294,9 @@ DIANNA supports different data modalities and XAI methods. The table contains li | :--------- | :------------------------------------------------ | :----------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------- | | Images | ✅ | ✅ | ✅ | | Text | ✅ | ✅ | | -| Timeseries | ✅ | ✅ | | -| Embedding | planned | planned | planned | -| Tabular | planned | planned | planned | +| Timeseries | ✅ | ✅ | | +| Tabular | planned | ✅ | planned | +| Embedding | planned | planned | planned | Graphs* | work in progress | work in progress | work in progress | [LRP](https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0130140&type=printable) and [PatternAttribution](https://arxiv.org/pdf/1705.05598.pdf) also feature in the top 5 of our thoroughly evaluated XAI methods using objective criteria (details in coming blog-post). **Contributing by adding these and more (new) post-hoc explainability methods on ONNX models is very welcome!**