Changelog

v0.3.0 (2024-05-29)

Add LargeVis for visualization of large-scale and high-dimensional data in a low-dimensional (typically 2D or 3D) space
Add Scholar.Neighbors.KDTree and Scholar.Neighbors.RandomProjectionForest
Add Scholar.Metrics.Neighbors
Add Scholar.Linear.BayesianRidgeRegression
Add Scholar.Cluster.Hierarchical
Add Scholar.Manifold.Trimap
Add Mean Pinball Loss function
Add Matthews Correlation Coefficient function
Add D2 Tweedie Score function
Add Mean Tweedie Deviance function
Add Discounted Cumulative Gain function
Add Precision Recall f-score function
Add f-beta score function
Add convergence check to AffinityPropagation
Default Affinity Propagation preference to reduce_min and make it customizable
Move preprocessing functionality to their own modules with fit and fit_transform callbacks

Split KNearestNeighbors into KNNClassifier and KNNRegressor with custom algorithm support

This version requires Elixir v1.14+.

Update notebooks
Add support for :f16 and :bf16 types in SVD
Add Affinity Propagation
Add t-SNE
Add Polynomial Regression
Replace seeds with Random.key
Add 'unrolling loops' option
Add support for custom optimizers in Logistic Regression
Add Trapezoidal Integration
Add AUC-ROC, AUC, and ROC Curve
Add Simpson rule integration
Unify tests
Add Radius Nearest Neighbors
Add DBSCAN
Add classification metrics: Average Precision Score, Balanced Accuracy Score, Cohen Kappa Score, Brier Score Loss, Zero-One Loss, Top-k Accuracy Score
Add regression metrics: R2 Score, MSLE, MAPE, Maximum Residual Error
Add support for axes in Confusion Matrix
Add support for broadcasting in Metrics.Distances
Update CI
Add Gaussian Mixtures
Add Model selection functionalities: K-fold, K-fold Cross Validation, Grid Search
Change structure of metrics in Scholar
Add a guide with Cross-Validation and Grid Search

First release.