Showing npm packages maintained by this author. Pick a package to open detailed download analytics.

• ml-matrix

  Matrix manipulation and computation library

  6.15.0—
• ml-distance

  Distance and similarity functions to compare vectors

  4.1.0—
• ml-regression-base

  Base class for regression modules

  4.0.1—
• ml-nearest-vector

  Find the nearest point to a sample point

  3.0.1—
• ml-levenberg-marquardt

  Curve fitting method in javascript

  5.1.0—
• ml-regression-simple-linear

  Simple Linear Regression

  3.0.1—
• ml-regression-polynomial

  Polynomial Regression

  4.0.0—
• ml-kmeans

  K-Means clustering

  7.0.1—
• ml-regression-power

  Power regression

  3.0.0—
• ml-regression

  Regression algorithms

  6.3.0—
• ml-kernel

  A factory for kernel functions

  4.0.0—
• ml-kernel-gaussian

  The gaussian (radial basis function) kernel

  3.0.0—
• ml-regression-exponential

  Exponential Regression

  3.0.2—
• ml-regression-multivariate-linear

  Multivariate linear regression

  2.0.4—
• ml-regression-theil-sen

  Theil-Sen regression

  3.0.0—
• ml-distance-matrix

  Compute a distance/similarity matrix

  2.0.1—
• ml-convolution

  Convolution using the FFT or standard algorithm

  2.0.0—
• ml-pca

  Principal component analysis

  4.1.1—
• ml-disjoint-set

  Efficient disjoint-set data structure implementation

  1.0.0—
• ml-kernel-sigmoid

  Sigmoid (hyperbolic tangent) kernel

  2.0.0—
• ml-hclust

  Hierarchical clustering algorithms

  4.0.0—
• ml-stat

  Functions for computing stats on arrays and matrices

  1.3.3—
• ml-cart

  CART decision tree algorithm

  2.1.1—
• ml-random-forest

  Random forest for classification and regression

  2.1.0—
• ml-gsd

  Global Spectral Deconvolution

  14.2.2—
• ml-savitzky-golay

  Savitzky–Golay filter

  5.0.0—
• ml-knn

  k-nearest neighbors algorithm

  3.0.0—
• ml-confusion-matrix

  Confusion matrix for supervised classification

  2.0.0—
• ml-floyd-warshall

  Algorithm for finding shortest paths in a weighted graph with positive or negative edge weights (but with no negative cycles)

  3.0.1—
• libsvm-js

  A port of libsvm to javascript using emscripten

  0.2.1—
• ml-sparse-matrix

  Sparse matrix library

  3.1.0—
• ml-conrec

  JavaScript implementation of the CONREC contouring algorithm

  6.0.0—
• ml-hash-table

  Open addressing hash table

  1.0.0—
• ml-svm

  Support Vector Machine in Javascript

  2.1.2—
• ml-naivebayes

  Naive bayes library

  4.0.0—
• ml-xgboost

  [![NPM version][npm-image]][npm-url] [![build status][travis-image]][travis-url] [![David deps][david-image]][david-url] [![npm download][download-image]][download-url]

  1.1.2—
• ml-array-utils

  Array utilities

  0.4.0—
• ml-cross-validation

  Cross validation utility for mljs classifiers

  1.3.0—
• ml-combinations

  Generate all possible unordered samples of size m, without replacement, from a set of n objects

  1.1.0—
• ml-binary-search

  Binary search algorithm for sorted arrays

  1.1.2—
• ml-dataset-iris

  Iris flower data set

  1.2.1—
• ml-pls

  Partial least squares library

  4.4.1—
• ml-arrayxy-uniquex

  Function to sum the y values if the x values are equals. The x array has to be ordered.

  1.0.2—
• ml-performance

  Library providing tools to evaluate the performance of a classifier using for example ROC curves

  0.2.0—
• ml-fnn

  feedforward neural networks library

  5.0.0—
• ml-curve-fitting

  Levenberg Marquardt curve-fitting: minimize sum of weighted squared residuals

  0.0.7—
• ml-ngmca

  non-negative Generalized Morphological Component Analysis

  1.0.0—
• ml-arrayxy-closestx

  Get the closest point for a specific abscissa value

  2.0.2—
• ml-optimize-lorentzian

  Optimize Lorentzian

  0.2.0—
• ml-tanimoto

  Tanimoto similarity and distance methods

  1.0.0—

Showing 50 of 52 packages

Showing npm packages maintained by this author. Pick a package to open detailed download analytics.

• ml-matrix

  Matrix manipulation and computation library

  6.15.0—
• ml-distance

  Distance and similarity functions to compare vectors

  4.1.0—
• ml-regression-base

  Base class for regression modules

  4.0.1—
• ml-nearest-vector

  Find the nearest point to a sample point

  3.0.1—
• ml-levenberg-marquardt

  Curve fitting method in javascript

  5.1.0—
• ml-regression-simple-linear

  Simple Linear Regression

  3.0.1—
• ml-regression-polynomial

  Polynomial Regression

  4.0.0—
• ml-kmeans

  K-Means clustering

  7.0.1—
• ml-regression-power

  Power regression

  3.0.0—
• ml-regression

  Regression algorithms

  6.3.0—
• ml-kernel

  A factory for kernel functions

  4.0.0—
• ml-kernel-gaussian

  The gaussian (radial basis function) kernel

  3.0.0—
• ml-regression-exponential

  Exponential Regression

  3.0.2—
• ml-regression-multivariate-linear

  Multivariate linear regression

  2.0.4—
• ml-regression-theil-sen

  Theil-Sen regression

  3.0.0—
• ml-distance-matrix

  Compute a distance/similarity matrix

  2.0.1—
• ml-convolution

  Convolution using the FFT or standard algorithm

  2.0.0—
• ml-pca

  Principal component analysis

  4.1.1—
• ml-disjoint-set

  Efficient disjoint-set data structure implementation

  1.0.0—
• ml-kernel-sigmoid

  Sigmoid (hyperbolic tangent) kernel

  2.0.0—
• ml-hclust

  Hierarchical clustering algorithms

  4.0.0—
• ml-stat

  Functions for computing stats on arrays and matrices

  1.3.3—
• ml-cart

  CART decision tree algorithm

  2.1.1—
• ml-random-forest

  Random forest for classification and regression

  2.1.0—
• ml-gsd

  Global Spectral Deconvolution

  14.2.2—
• ml-savitzky-golay

  Savitzky–Golay filter

  5.0.0—
• ml-knn

  k-nearest neighbors algorithm

  3.0.0—
• ml-confusion-matrix

  Confusion matrix for supervised classification

  2.0.0—
• ml-floyd-warshall

  Algorithm for finding shortest paths in a weighted graph with positive or negative edge weights (but with no negative cycles)

  3.0.1—
• libsvm-js

  A port of libsvm to javascript using emscripten

  0.2.1—
• ml-sparse-matrix

  Sparse matrix library

  3.1.0—
• ml-conrec

  JavaScript implementation of the CONREC contouring algorithm

  6.0.0—
• ml-hash-table

  Open addressing hash table

  1.0.0—
• ml-svm

  Support Vector Machine in Javascript

  2.1.2—
• ml-naivebayes

  Naive bayes library

  4.0.0—
• ml-xgboost

  [![NPM version][npm-image]][npm-url] [![build status][travis-image]][travis-url] [![David deps][david-image]][david-url] [![npm download][download-image]][download-url]

  1.1.2—
• ml-array-utils

  Array utilities

  0.4.0—
• ml-cross-validation

  Cross validation utility for mljs classifiers

  1.3.0—
• ml-combinations

  Generate all possible unordered samples of size m, without replacement, from a set of n objects

  1.1.0—
• ml-binary-search

  Binary search algorithm for sorted arrays

  1.1.2—
• ml-dataset-iris

  Iris flower data set

  1.2.1—
• ml-pls

  Partial least squares library

  4.4.1—
• ml-arrayxy-uniquex

  Function to sum the y values if the x values are equals. The x array has to be ordered.

  1.0.2—
• ml-performance

  Library providing tools to evaluate the performance of a classifier using for example ROC curves

  0.2.0—
• ml-fnn

  feedforward neural networks library

  5.0.0—
• ml-curve-fitting

  Levenberg Marquardt curve-fitting: minimize sum of weighted squared residuals

  0.0.7—
• ml-ngmca

  non-negative Generalized Morphological Component Analysis

  1.0.0—
• ml-arrayxy-closestx

  Get the closest point for a specific abscissa value

  2.0.2—
• ml-optimize-lorentzian

  Optimize Lorentzian

  0.2.0—
• ml-tanimoto

  Tanimoto similarity and distance methods

  1.0.0—

Showing 50 of 52 packages