Contents Menu Expand Light mode Dark mode Auto light/dark mode
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)
Back to top
Edit this page

datagnosis.plugins.images package#

class ImagePlugins[source]#

Bases: datagnosis.plugins.core.plugin.PluginLoader

add(name: str, cls: Type) → datagnosis.plugins.core.plugin.PluginLoader#

Add a new plugin

list() → List[str]#

Get all the available plugins.

reload() → datagnosis.plugins.core.plugin.PluginLoader#
types() → List[Type]#

Get the loaded plugins types

Submodules#

  • datagnosis.plugins.images.plugin_allsh module
Copyright © 2023, vanderschaar-lab
Made with Sphinx and @pradyunsg's Furo
On this page
  • datagnosis.plugins.images package
    • Submodules