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Contents:

  • How to use DIANNA
  • Why DIANNA?
  • Planned DIANNA developments
  • Contributing guidelines
  • Developer documentation for the DIANNA project
  • Contributor Covenant Code of Conduct

Examples

  • General overview of using dianna
  • Interpreting a leaf identification model with LIME
  • Model Interpretation using LIME for penguin dataset classifier
  • Interpreting a weather classification model with LIME
  • Model Interpretation for Pretrained Binary MNIST Model using KernelSHAP
  • Model Interpretation for Pretrained Model to Recognize Geometric Shapes using KernelSHAP
  • Model Interpretation using KernelSHAP for weather prediction regressor
  • Interpreting a movie review sentiment model with RISE
  • Model Interpretation for Pretrained ImageNet Model using RISE
  • Model interpretation using RISE for astronomical timeseries data
  • Interpreting the sentence classification of legal texts using LIME
  • Model Interpretation using LIME for penguin dataset classifier
  • API Reference
dianna
  • Overview: module code

All modules for which code is available

  • Home
  • Images
  • Tabular
  • Text
  • Time_series
  • _image_utils
  • _model_utils
  • _models_image
  • _models_tabular
  • _models_text
  • _models_ts
  • _movie_model
  • _shared
  • _ts_utils
  • dianna
    • dianna._logging_utils
    • dianna.cli
    • dianna.utils.downloader
    • dianna.utils.maskers
    • dianna.utils.misc
    • dianna.utils.onnx_runner
    • dianna.utils.predict
    • dianna.utils.rise_utils
    • dianna.utils.tokenizers
    • dianna.visualization.image
    • dianna.visualization.tabular
    • dianna.visualization.text
    • dianna.visualization.timeseries
  • kernelshap_image
  • kernelshap_tabular
  • lime_image
  • lime_tabular
  • lime_text
  • lime_timeseries
  • rise_image
  • rise_tabular
  • rise_text
  • rise_timeseries

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