2.7 KiB
2.7 KiB
Changelog
All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
[0.4.8] - 2025-11-29
- WARNING: Breaking changes!
LassoParametersandLassoSearchParametershave a new fieldfit_intercept. When it is set to false, thebeta_0term in the formula will be forced to zero, andinterceptfield inLassowill be set toNone.
[0.4.0] - 2023-04-05
Added
- WARNING: Breaking changes!
DenseMatrixconstructor now returnsResultto avoid user instantiating inconsistent rows/cols count. Their return values need to be unwrapped withunwrap(), see tests
[0.3.0] - 2022-11-09
Added
- WARNING: Breaking changes!
- Complete refactoring with extensive API changes that includes:
- moving to a new traits system, less structs more traits
- adapting all the modules to the new traits system
- moving to Rust 2021, use of object-safe traits and
as_ref - reorganization of the code base, eliminate duplicates
- implements
readers(needs "serde" feature) for read/write CSV file, extendible to other formats - default feature is now Wasm-/Wasi-first
Changed
- WARNING: Breaking changes!
- Seeds to multiple algorithims that depend on random number generation
- Added a new parameter to
train_test_splitto define the seed - changed use of "serde" feature
Dropped
- WARNING: Breaking changes!
- Drop
nalgebra-bindingsfeature, onlyndarrayas supported library
[0.2.1] - 2021-05-10
Added
- L2 regularization penalty to the Logistic Regression
- Getters for the naive bayes structs
- One hot encoder
- Make moons data generator
- Support for WASM.
Changed
- Make serde optional
[0.2.0] - 2021-01-03
Added
- DBSCAN
- Epsilon-SVR, SVC
- Ridge, Lasso, ElasticNet
- Bernoulli, Gaussian, Categorical and Multinomial Naive Bayes
- K-fold Cross Validation
- Singular value decomposition
- New api module
- Integration with Clippy
- Cholesky decomposition
Changed
- ndarray upgraded to 0.14
- smartcore::error:FailedError is now non-exhaustive
- K-Means
- PCA
- Random Forest
- Linear and Logistic Regression
- KNN
- Decision Tree
[0.1.0] - 2020-09-25
Added
- First release of smartcore.
- KNN + distance metrics (Euclidian, Minkowski, Manhattan, Hamming, Mahalanobis)
- Linear Regression (OLS)
- Logistic Regression
- Random Forest Classifier
- Decision Tree Classifier
- PCA
- K-Means
- Integrated with ndarray
- Abstract linear algebra methods
- RandomForest Regressor
- Decision Tree Regressor
- Serde integration
- Integrated with nalgebra
- LU, QR, SVD, EVD
- Evaluation Metrics