DAML Change Log

v0.52.0

🛠️ Improvements and Enhancements

• 07b12ac2 - Fully integrate outlier detection into DAML

  Outlier Detection API has been changed. Additional details are available in our documentation.

v0.51.0

🌟 Feature Release

• 2ed88a07 - Implement Drift Detection Metrics

  This change adds 4 types of Drift Detection metrics which allow for the detection of potential drift in the dataset.

  • Kolmogorov-Smirnov

  • Cramér-von Mises

  • Maximum Mean Discrepancy

  • Classifier Uncertainty

  The conceptual source is derived from Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift and the implementation is derived from Alibi-Detect v0.11.4.

v0.45.0

🚧 Deprecations and Removals

• 5cc48bec - Divergence metric naming corrected to HP Divergence

  Divergence metric output now returns a dictionary of { "divergence": float, "error": int } instead of { "dpdivergence": float, "error": int }. Code, documentation and tutorials have been updated to the correct nomenclature of HP (Henze-Penrose) divergence.

v0.44.6

🌟 Feature Release

• 41b20d3a - Add rules for release label pipeline workflow and merge request release template

🛠️ Improvements and Enhancements

• 7ee53c9c - Update Divergence default to MST

v0.44.2

🛠️ Improvements and Enhancements

• 1468aa5c - Switch to markdown and updated docs

v0.43.0

🛠️ Improvements and Enhancements

• 670a0db5 - Add support for classwise Sufficiency metrics

• b96ee099 - Have sufficiency train and eval functions take indices and batch size instead of a DataLoader

v0.42.2

🛠️ Improvements and Enhancements

• 5225c491 - Change output classes to dictionaries

• 45040682 - Make Sufficiency a stateful class and revise SufficiencyOutput

• 7c5fdcff - Pass method as a parameter to determine metric algorithm to use

• 2e883f6d - Add better optimizer to find global minimum

• c3c78680 - Expose AETrainer to public API to use model multiple times after training

👾 Fixes

• 93564b95 - Updating pyproject.toml and lock file to set dependency less than numpy 2.0

v0.42.0

🛠️ Improvements and Enhancements

• 601cfae8 - Sufficiency Plotting of Multiple Metrics during one run

• 3d68a6f1 - Add parameter to plot function for optional file output

🚧 Deprecations and Removals

• a6ce3e72 - Remove UAP_MST metric

v0.40.2

🛠️ Improvements and Enhancements

• f3eddaed - Flavor 2 - Remove models from metrics entirely

v0.40.1

🚧 Deprecations and Removals

• db888bb7 - Remove usage of DamlDataset for ARiA metrics

v0.38.1

🛠️ Improvements and Enhancements

• 42617f43 - Enable GPU functionality in pytorch features

v0.38.0

🌟 Feature Release

• c9b5116e - ARiA Autoencoder as PyTorch Model

🛠️ Improvements and Enhancements

• 8fe97232 - Add export_model functionality and improve test coverage

• 42cc77ea - Add empirical upper bound to UAP metric output

👾 Fixes

• 636dfdaf - update project with version metadata

v0.36.1

🌟 Feature Release

• 7d1a599f - Implement the uap class

v0.36.0

🛠️ Improvements and Enhancements

• 0799523b - Object detection model training

v0.29.0

🌟 Feature Release

• 166df3b0 - Implement Dataset Sufficiency Metric

🛠️ Improvements and Enhancements

• 5c4e6e06 - Use convolutional autoencoder for BER and Divergence metrics

👾 Fixes

• c78e5502 - Sufficiency typecheck bugfix

v0.28.5

🛠️ Improvements and Enhancements

• 9d1c354c - Add fit_dataset, format_dataset to DpDivergence & BER

v0.28.4

👾 Fixes

• c39e009e - Fix typecheck issues found with pyright-1.1.333

v0.26.13

🌟 Feature Release

• 949e09bd - Add kNN BER implementation

v0.26.10

🛠️ Improvements and Enhancements

• dab0a8ff - Handle MST edge cases

v0.26.4

🛠️ Improvements and Enhancements

• bf31996f - BER lower bound capability

v0.25.11

🛠️ Improvements and Enhancements

• dfe0bddb - Add support for python 3.11

v0.25.4

🛠️ Improvements and Enhancements

• 2ca285cc - update BER metric to return a dataclass instead of dict

v0.25.3

👾 Fixes

• 67f08b27 - Fix: Alibi-detect-models-have-fixed-architecture-shapes

v0.25.2

🛠️ Improvements and Enhancements

• db4adaff - 69 convert metric output dictionary to dataclass

v0.24.8

🌟 Feature Release

• 79614577 - Implement Multiclass MST version of BER

v0.24.6

🌟 Feature Release

• 2ad9fed5 - Implement BER estimate

v0.23.1

🌟 Feature Release

• 99d2fd22 - Implement outlier detection metrics using the alibi-detect VAE method

v0.23.0

🌟 Feature Release

• 85eb2c1f - Implement outlier detection metrics using the alibi-detect auto-encoder method