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datagnosis 0.0.3 documentation
datagnosis 0.0.3 documentation
  • Tutorials
    • Getting started with tabular data
    • Image data
    • A real tabular data example
  • DataHandlers
    • DataHandler
  • Hardness Characterization Methods
    • Area Under the Margin (AUM)
    • Conf Agree
    • Confident Learning
    • Data IQ
    • Data Maps
    • Error L2-Norm (EL2N)
    • Forgetting
    • Gradient Normed (GraNd)
    • Large Loss
    • Prototypicality
    • Variance of Gradients (VOG)
    • Active Learning Guided by Local Sensitivity and Hardness (ALLSH)
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Tutorials#

Getting started#

  • Getting started with tabular data
  • Image data
  • A real tabular data example
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Datagnosis Tutorial 01 - simple tabular example
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