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Contents:

  • How to use DIANNA
  • Why DIANNA?
  • Current and 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
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    • _models_text
    • _image_utils
    • _movie_model
    • _model_utils
    • _models_image
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    • lime_timeseries
    • _models_tabular
    • kernelshap_image
    • kernelshap_tabular
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API Reference

This page contains auto-generated API reference documentation [1].

  • Home
  • Text
  • dianna
    • dianna._logging_utils
    • dianna.cli
    • dianna.utils
      • 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
      • dianna.visualization.image
      • dianna.visualization.tabular
      • dianna.visualization.text
      • dianna.visualization.timeseries
  • Images
  • _shared
  • Tabular
  • rise_text
  • lime_text
  • _ts_utils
  • rise_image
  • lime_image
  • _models_ts
  • Time_series
  • lime_tabular
  • rise_tabular
  • _models_text
  • _image_utils
  • _movie_model
  • _model_utils
  • _models_image
  • rise_timeseries
  • lime_timeseries
  • _models_tabular
  • kernelshap_image
  • kernelshap_tabular
[1]

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