Releases: MECLabTUDA/NCALab
Releases · MECLabTUDA/NCALab
v0.4.1
Full Changelog: v0.4.0...v0.4.1
v0.4.0
- 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
- Fix use of max() reduction in uncertainty estimator
Full Changelog: v0.3.1...v0.3.2
v0.3.0
- 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
Version 0.2.0, introduces several breaking changes against 0.1.0. This includes a new "Prediction" and "Visual" object oriented API.