Matrix manipulation and computation library
Various method to process spectra
Get the maximum value in an array
Get the minimum value in an array
Generates markdown API documentation from jsdoc annotated source code
JavaScript implementation of the XORSHIFT-ADD (XSadd) pseudo random number generator
Compute the euclidean distance between two vectors
Rescale an array into a range
Web Assembly streaming Opus decoder with Machine Learning enhancements
Choose randomly from a selection of elements
Find the nearest point to a sample point
Get the average value in an array
K-Means clustering
Get the average value in an array
Distance and similarity functions to compare vectors
Curve fitting method in javascript
The markuplint AST types.
The gaussian (radial basis function) kernel
Get the median value in an array
JSON Schema and TypeScript types of markuplint configure JSON
Autogenerate READMEs tables and OpenAPI schemas for Helm Charts
The polynomial kernel
Multivariate linear regression
Matrix convolution: It offers the direct and the fourier transform convolution
scikit-learn-style machine learning umbrella crate — re-exports every anofox-ml-* subcrate under a single API
Text feature extraction (CountVectorizer, TfidfVectorizer, HashingVectorizer) for anofox-ml
Stochastic Gradient Descent linear models (SGDClassifier, SGDRegressor, PassiveAggressive) for anofox-ml
Classical regression models (OLS, Ridge, Lasso, Elastic Net, GLM, GP) for anofox-ml
Support Vector Machines (SVC, SVR, NuSVC, NuSVR, LinearSVC, LinearSVR, OneClassSVM) for anofox-ml
Clustering algorithms (KMeans, DBSCAN, HDBSCAN, GMM, BGMM, MeanShift, OPTICS, Birch, Spectral, AffinityPropagation, Agglomerative) for anofox-ml
Linear and Quadratic Discriminant Analysis for the anofox-ml library
Gaussian Process regression + classification (Laplace) for the anofox-ml library
Manifold learning (MDS, Isomap, LLE, t-SNE) for the anofox-ml library
Gaussian / Multinomial / Bernoulli Naive Bayes classifiers for the anofox-ml library
Random forest and gradient boosting ensemble methods for the anofox-ml library
K-nearest neighbors classifiers and regressors with KD-tree for the anofox-ml library