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CHANGELOG.md

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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.

[0.4.0] - 2023-04-05

Added

  • WARNING: Breaking changes!
  • DenseMatrix constructor now returns Result to avoid user instantiating inconsistent rows/cols count. Their return values need to be unwrapped with unwrap(), 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_split to define the seed
  • changed use of "serde" feature

Dropped

  • WARNING: Breaking changes!
  • Drop nalgebra-bindings feature, only ndarray as 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