Changelog

Copy Markdown View Source

All notable changes to this project are documented in this file.

0.2.0 - 2026-06-23

Added

  • Added model version 7, :conservative_cnn, a conservative CNN architecture intended to reduce false positives.
  • Added false-positive-aware validation scoring for checkpoint selection and hyperparameter tuning.
  • Added threshold calibration for v7, including persisted decision_policy metadata in serialized classifiers.
  • Added v7 inference safeguards for low-signal inputs through configurable positive thresholds and minimum positive token counts.

Changed

  • Changed the default training model to v7, :conservative_cnn.
  • Changed the default vector length to 512.
  • Updated serialization, loading, serving, and compiled prediction paths to reuse persisted decision policies when available.

Documentation

  • Updated README and generated documentation sources for v7, threshold calibration, production guidance, model versions, and the 0.2.0 dependency snippet.

0.1.3 - 2026-06-15

Added

  • Added model version 6, :transformer, with sequence-length logit bias for short or missing text inputs.
  • Added static sinusoidal positional embeddings to the transformer model.
  • Added transformer execution and logit-bias tests.

Changed

  • Updated dependencies, including Nx 0.12.1 and ExDoc 0.40.3.
  • Reduced JIT recompilation warnings during training and hyperparameter tuning.

Documentation

  • Updated release documentation for the transformer model.

0.1.2 - 2026-05-17

Changed

  • Updated dependency versions.
  • Fixed the Nx dependency version.

0.1.1 - 2026-04-19

Added

  • Added model version 5 with a multi-scale architecture and made it the default at the time.
  • Added tests for model version 5.

Changed

  • Refactored model architecture names to be more descriptive.
  • Updated CI to newer Elixir and OTP versions.

Fixed

  • Fixed Axon deprecation warnings by using Axon.ModelState.empty().
  • Fixed compiler warnings and formatted tests.

0.1.0 - 2026-02-06

Added

  • Added the initial binary text classification library built on Axon and Nx.
  • Added tokenizer, vectorizer, training, serving, saving, and loading workflows.
  • Added explicit label mapping support.
  • Added configurable compiler/backend options for training and serving.
  • Added model versioning for backward-compatible serialized classifiers.
  • Added model versions 1 through 4, including CNN, mixed-pooling CNN, multi-scale CNN, and Sep-SE-CNN.
  • Added hyperparameter auto-tuning for learning rate and dropout.
  • Added BinClass.compile_predictor/2 for low-latency in-process inference.
  • Added examples for training, serving, configurable backends, and simple inference.
  • Added Hex package metadata, MIT license, CI workflow, and Dependabot configuration.

Changed

  • Optimized model architecture and training performance before the first tagged release.
  • Reverted the experimental v5 work before v0.1.0 and kept v4 as the default at release time.
  • Marked the temporary-file helper module as internal.

Documentation

  • Added and refined README, examples documentation, and module documentation for the initial Hex release.