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Releases: MECLabTUDA/NCALab

v0.4.1

12 Mar 10:08

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v0.4.0

02 Dec 15:44

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  • Parameterize average pooling size in classification with MLP head
  • Let user supply class label names to classifier
  • Classification visual in tensorboard: Show bar plot of softmax
  • Separation of perception, rule and head model in BasicNCAModel for improved modularity
  • Classification: Average pooling between NCA backbone and classification head
  • Dependency updates
  • Moved training/inference step parameter from Trainer to BasicNCAModel

v0.3.2

20 Aug 13:21

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  • Fix use of max() reduction in uncertainty estimator

Full Changelog: v0.3.1...v0.3.2

v0.3.0

20 Aug 08:18

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  • Rename VisualMultiImageClassification --> VisualRGBImageClassification
  • Deprecate VisualMultiImageClassification
  • Add record() member to BasicNCAModel to record sequences of predictions
  • Adapt Animator class to new prediction API
  • Use Animator class in growing emoji example task
  • Fix evaluation script for MNIST example task
  • Fix dimensionality error in "classify" method
  • Add evaluation scripts for MedMNIST example tasks
  • Fix visualization of normalized data
  • Add (optional) MLP classification head in classification model
  • Slightly adjust training parameters (learning rate and adam betas)

v0.2.0

12 Aug 14:17

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Version 0.2.0, introduces several breaking changes against 0.1.0. This includes a new "Prediction" and "Visual" object oriented API.