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-regression-simple-linear

  Simple Linear Regression

  3.0.1—
• ml-levenberg-marquardt

  Curve fitting method in javascript

  5.1.0—
• ml-kmeans

  K-Means clustering

  7.0.1—
• ml-regression-polynomial

  Polynomial Regression

  4.0.0—
• ml-regression-power

  Power regression

  3.0.0—
• ml-regression

  Regression algorithms

  6.3.0—
• ml-regression-multivariate-linear

  Multivariate linear regression

  2.0.4—
• ml-kernel

  A factory for kernel functions

  4.0.0—
• ml-regression-robust-polynomial

  Robust polynomial regression using LMedS

  3.0.2—
• ml-kernel-gaussian

  The gaussian (radial basis function) kernel

  3.0.0—
• ml-pca

  Principal component analysis

  4.1.1—
• ml-regression-theil-sen

  Theil-Sen regression

  3.0.0—
• ml-regression-exponential

  Exponential Regression

  3.0.2—
• ml-distance-matrix

  Compute a distance/similarity matrix

  2.0.1—
• ml-disjoint-set

  Efficient disjoint-set data structure implementation

  1.0.0—
• ml-convolution

  Convolution using the FFT or standard algorithm

  2.0.0—
• ml-hclust

  Hierarchical clustering algorithms

  4.0.0—
• ml-kernel-sigmoid

  Sigmoid (hyperbolic tangent) kernel

  2.0.0—
• ml-fft

  fft

  1.3.5—
• ml-matrix-convolution

  Matrix convolution: It offers the direct and the fourier transform convolution

  2.0.0—
• ml-stat

  Functions for computing stats on arrays and matrices

  1.3.3—
• ml-cart

  CART decision tree algorithm

  2.1.1—
• ml-savitzky-golay

  Savitzky–Golay filter

  5.0.0—
• ml-savitzky-golay-generalized

  Savitzky–Golay filter in Javascript

  5.0.0—
• ml-gsd

  Global Spectral Deconvolution

  14.2.2—
• ml-knn

  k-nearest neighbors algorithm

  3.0.0—
• ml-confusion-matrix

  Confusion matrix for supervised classification

  2.0.0—
• ml-matrix-peaks-finder

  The peak picking routines for 2D arrays. This library looks for the local maxima of the given input matrix. The input matrix has to be specified as a single vector.

  2.0.1—
• ml-baseline-correction-regression

  Iterative regression based baseline correction

  2.0.2—
• 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-conrec

  JavaScript implementation of the CONREC contouring algorithm

  6.0.0—
• ml-sparse-matrix

  Sparse matrix library

  3.1.0—
• ml-simple-clustering

  Extracts the isolated sub-blocs of matrix

  1.0.0—
• ml-tree-set

  A JavaScript emulator of the TreeSet Java class

  1.0.1—
• 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-combinations

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

  1.1.0—
• ml-array-utils

  Array utilities

  0.4.0—
• ml-cross-validation

  Cross validation utility for mljs classifiers

  1.3.0—
• ml-binary-search

  Binary search algorithm for sorted arrays

  1.1.2—
• ml-pls

  Partial least squares library

  4.4.1—
• ml-dataset-iris

  Iris flower data set

  1.2.1—
• brukerconverter

  Parse and convert Bruker raw data

  8.0.3—
• ml-fnn

  feedforward neural networks library

  5.0.0—

Showing 50 of 69 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-regression-simple-linear

  Simple Linear Regression

  3.0.1—
• ml-levenberg-marquardt

  Curve fitting method in javascript

  5.1.0—
• ml-kmeans

  K-Means clustering

  7.0.1—
• ml-regression-polynomial

  Polynomial Regression

  4.0.0—
• ml-regression-power

  Power regression

  3.0.0—
• ml-regression

  Regression algorithms

  6.3.0—
• ml-regression-multivariate-linear

  Multivariate linear regression

  2.0.4—
• ml-kernel

  A factory for kernel functions

  4.0.0—
• ml-regression-robust-polynomial

  Robust polynomial regression using LMedS

  3.0.2—
• ml-kernel-gaussian

  The gaussian (radial basis function) kernel

  3.0.0—
• ml-pca

  Principal component analysis

  4.1.1—
• ml-regression-theil-sen

  Theil-Sen regression

  3.0.0—
• ml-regression-exponential

  Exponential Regression

  3.0.2—
• ml-distance-matrix

  Compute a distance/similarity matrix

  2.0.1—
• ml-disjoint-set

  Efficient disjoint-set data structure implementation

  1.0.0—
• ml-convolution

  Convolution using the FFT or standard algorithm

  2.0.0—
• ml-hclust

  Hierarchical clustering algorithms

  4.0.0—
• ml-kernel-sigmoid

  Sigmoid (hyperbolic tangent) kernel

  2.0.0—
• ml-fft

  fft

  1.3.5—
• ml-matrix-convolution

  Matrix convolution: It offers the direct and the fourier transform convolution

  2.0.0—
• ml-stat

  Functions for computing stats on arrays and matrices

  1.3.3—
• ml-cart

  CART decision tree algorithm

  2.1.1—
• ml-savitzky-golay

  Savitzky–Golay filter

  5.0.0—
• ml-savitzky-golay-generalized

  Savitzky–Golay filter in Javascript

  5.0.0—
• ml-gsd

  Global Spectral Deconvolution

  14.2.2—
• ml-knn

  k-nearest neighbors algorithm

  3.0.0—
• ml-confusion-matrix

  Confusion matrix for supervised classification

  2.0.0—
• ml-matrix-peaks-finder

  The peak picking routines for 2D arrays. This library looks for the local maxima of the given input matrix. The input matrix has to be specified as a single vector.

  2.0.1—
• ml-baseline-correction-regression

  Iterative regression based baseline correction

  2.0.2—
• 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-conrec

  JavaScript implementation of the CONREC contouring algorithm

  6.0.0—
• ml-sparse-matrix

  Sparse matrix library

  3.1.0—
• ml-simple-clustering

  Extracts the isolated sub-blocs of matrix

  1.0.0—
• ml-tree-set

  A JavaScript emulator of the TreeSet Java class

  1.0.1—
• 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-combinations

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

  1.1.0—
• ml-array-utils

  Array utilities

  0.4.0—
• ml-cross-validation

  Cross validation utility for mljs classifiers

  1.3.0—
• ml-binary-search

  Binary search algorithm for sorted arrays

  1.1.2—
• ml-pls

  Partial least squares library

  4.4.1—
• ml-dataset-iris

  Iris flower data set

  1.2.1—
• brukerconverter

  Parse and convert Bruker raw data

  8.0.3—
• ml-fnn

  feedforward neural networks library

  5.0.0—

Showing 50 of 69 packages