Releases: TuringWorks/tsai-rs
Releases · TuringWorks/tsai-rs
v0.1.2
tsai-rs v0.1.2
Time series deep learning in Rust — a feature-parity port of Python tsai.
What's New
🔧 Bug Fixes
- ResCNN: Fixed default kernel sizes from
[8, 5, 3]to[7, 5, 3]for Burn's Same padding compatibility (even kernel sizes not supported) - MultiInputNet: Fixed forward pass when no tabular data is present
✨ New Features
- Feature Extraction: Added 50+ tsfresh-style statistical features
- Minimal, Efficient, Comprehensive, and All feature sets
- Batch processing with
FeatureExtractor - Multivariate cross-channel features
- Hyperparameter Optimization: Complete HPO module
GridSearch- Exhaustive search over parameter gridRandomSearch- Random sampling with configurable trialsSuccessiveHalving- Early stopping for efficient search
- CLI Enhancements:
- New
tsai hpocommand for hyperparameter optimization - Expanded
tsai datasets listto show all 255 datasets across 4 archives
- New
🐍 Python Bindings
extract_features()andextract_features_batch()for feature extractionget_UEA_list(),get_TSER_list(),get_forecasting_list()for dataset discovery- HPO classes:
HyperparameterSpace,ParamSet,TrialResult,SearchResult - Cleaner API naming (removed
Pyprefix from class names)
📚 Examples
examples/feature_extraction.rs- Demonstrates tsfresh-style feature extractionexamples/hpo.rs- Demonstrates hyperparameter optimization strategies
Installation
[dependencies]
tsai = "0.1.2"Or install the CLI:
cargo install tsai_cliProject Status
~98% feature parity with Python tsai:
| Category | Count |
|---|---|
| Models | 42 architectures |
| Augmentation Transforms | 47 transforms |
| Dataset Archives | 255 datasets (UCR, UEA, TSER, Forecasting) |
| Feature Extraction | 50+ tsfresh-style features |
| Callbacks | 14 callbacks |
| Schedulers | 9 schedulers |
| Loss Functions | 10 losses |
| Metrics | 10 metrics |
Crates Published
All crates are available on crates.io:
tsai- Main crate with re-exportstsai_core- Core types and traitstsai_data- Dataset and dataloadertsai_models- Model zoo (42 architectures)tsai_transforms- Data augmentationtsai_train- Training loop and HPOtsai_analysis- Analysis utilitiestsai_explain- Explainability (GradCAM, etc.)tsai_compute- Compute abstractiontsai_cli- Command-line interface
Full Changelog: v0.1.1...v0.1.2