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Update README.md: added checks for LIME and RISE #611
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Indicated there are tutorials for LIME and RISE for time-series
5 tasks
Sorry please ignore my operation. Just choose the wrong branch and misclick a few things. |
Updated the Key points text.
Updated Tutorials table for all modalities.
Updated the ONNX model section with time series
stefsmeets
approved these changes
Jun 1, 2023
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Looks good to me! 🚀
@@ -71,7 +71,7 @@ The key points of DIANNA: | |||
* Implements well-known XAI methods (LIME, RISE and Kernal SHAP) chosen by systematic and objective evaluation criteria | |||
* Supports the de-facto standard format for neural network models - ONNX. | |||
* Includes clear instructions for export/conversions from Tensorflow, Pytorch, Keras and scikit-learn to ONNX. | |||
* Supports both images and text data modalities. Time series is work in progress, tabular data and even embeddings support is planned. | |||
* Supports images, text and time series data modalities. Tabular data and even embeddings support is planned. |
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Suggested change
* Supports images, text and time series data modalities. Tabular data and even embeddings support is planned. | |
* Supports images, text and time series data modalities. Tabular data and embeddings support are planned. |
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Indicated there are tutorials for LIME and RISE for time-series.
Updated tutorials table
Updated generic text Why DIANNA? Key points
Added time-series datasets
Solves issue #601