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

• ml-array-rescale

  Rescale an array into a range

  2.0.0—
• ml-array-min

  Get the minimum value in an array

  2.0.0—
• ml-array-max

  Get the maximum value in an array

  2.0.0—
• ml-matrix

  Matrix manipulation and computation library

  6.15.0—
• ml-xsadd

  JavaScript implementation of the XORSHIFT-ADD (XSadd) pseudo random number generator

  3.0.1—
• ml-spectra-processing

  Various method to process spectra

  14.33.0—
• linear-sum-assignment

  it performs a linear sum assignment even if the cost matrix is rectangular.

  1.0.9—
• ml-distance

  Distance and similarity functions to compare vectors

  4.1.0—
• ml-logistic-regression

  Logistic regression

  2.0.0—
• ml-distance-euclidean

  Compute the euclidean distance between two vectors

  3.0.1—
• ml-array-median

  Get the median value in an array

  2.0.0—
• ml-regression-base

  Base class for regression modules

  4.0.1—
• ml-array-mean

  Get the average value in an array

  2.0.0—
• ml-array-sum

  Get the average value in an array

  2.0.0—
• ml-tree-similarity

  Compares two spectra using a tree similarity

  2.2.0—
• ml-random

  Choose randomly from a selection of elements

  2.0.0—
• ml-nearest-vector

  Find the nearest point to a sample point

  3.0.1—
• ml-kmeans

  K-Means clustering

  7.0.1—
• ml-regression-simple-linear

  Simple Linear Regression

  3.0.1—
• ml-levenberg-marquardt

  Curve fitting method in javascript

  5.1.0—
• ml-regression-power

  Power regression

  3.0.0—
• ml-regression

  Regression algorithms

  6.3.0—
• ml-regression-polynomial

  Polynomial Regression

  4.0.0—
• ml-regression-multivariate-linear

  Multivariate linear regression

  2.0.4—
• ml-distance-matrix

  Compute a distance/similarity matrix

  2.0.1—
• ml-kernel-polynomial

  The polynomial kernel

  3.0.0—
• 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-convolution

  Convolution using the FFT or standard algorithm

  2.0.0—
• ml-regression-exponential

  Exponential Regression

  3.0.2—
• ml-regression-theil-sen

  Theil-Sen regression

  3.0.0—
• ml-kernel-sigmoid

  Sigmoid (hyperbolic tangent) kernel

  2.0.0—
• ml-disjoint-set

  Efficient disjoint-set data structure implementation

  1.0.0—
• ml-pca

  Principal component analysis

  4.1.1—
• ml-array-mode

  Get the most repeated value in an array

  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-hclust

  Hierarchical clustering algorithms

  4.0.0—
• ml-regression-polynomial-2d

  Polynomial Regression 2D

  1.0.0—
• ml-cart

  CART decision tree algorithm

  2.1.1—
• ml-affine-transform

  Get and apply affine transform to 2D points.

  1.0.3—
• ml-ransac

  Fit a model to noisy data by excluding outliers. This is an implementation of the RANSAC algorithm.

  1.0.0—
• ml-random-forest

  Random forest for classification and regression

  2.1.0—
• ml-peak-shape-generator

  Generate various peak shapes

  5.5.0—
• ml-savitzky-golay

  Savitzky–Golay filter

  5.0.0—
• ml-savitzky-golay-generalized

  Savitzky–Golay filter in Javascript

  5.0.0—
• ml-pad-array

  Function to fill an array in Javascript

  2.0.0—
• ml-gsd

  Global Spectral Deconvolution

  14.2.2—
• ml-spectra-fitting

  Fit spectra using gaussian or lorentzian

  6.2.2—

Showing 50 of 110 packages

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

• ml-array-rescale

  Rescale an array into a range

  2.0.0—
• ml-array-min

  Get the minimum value in an array

  2.0.0—
• ml-array-max

  Get the maximum value in an array

  2.0.0—
• ml-matrix

  Matrix manipulation and computation library

  6.15.0—
• ml-xsadd

  JavaScript implementation of the XORSHIFT-ADD (XSadd) pseudo random number generator

  3.0.1—
• ml-spectra-processing

  Various method to process spectra

  14.33.0—
• linear-sum-assignment

  it performs a linear sum assignment even if the cost matrix is rectangular.

  1.0.9—
• ml-distance

  Distance and similarity functions to compare vectors

  4.1.0—
• ml-logistic-regression

  Logistic regression

  2.0.0—
• ml-distance-euclidean

  Compute the euclidean distance between two vectors

  3.0.1—
• ml-array-median

  Get the median value in an array

  2.0.0—
• ml-regression-base

  Base class for regression modules

  4.0.1—
• ml-array-mean

  Get the average value in an array

  2.0.0—
• ml-array-sum

  Get the average value in an array

  2.0.0—
• ml-tree-similarity

  Compares two spectra using a tree similarity

  2.2.0—
• ml-random

  Choose randomly from a selection of elements

  2.0.0—
• ml-nearest-vector

  Find the nearest point to a sample point

  3.0.1—
• ml-kmeans

  K-Means clustering

  7.0.1—
• ml-regression-simple-linear

  Simple Linear Regression

  3.0.1—
• ml-levenberg-marquardt

  Curve fitting method in javascript

  5.1.0—
• ml-regression-power

  Power regression

  3.0.0—
• ml-regression

  Regression algorithms

  6.3.0—
• ml-regression-polynomial

  Polynomial Regression

  4.0.0—
• ml-regression-multivariate-linear

  Multivariate linear regression

  2.0.4—
• ml-distance-matrix

  Compute a distance/similarity matrix

  2.0.1—
• ml-kernel-polynomial

  The polynomial kernel

  3.0.0—
• 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-convolution

  Convolution using the FFT or standard algorithm

  2.0.0—
• ml-regression-exponential

  Exponential Regression

  3.0.2—
• ml-regression-theil-sen

  Theil-Sen regression

  3.0.0—
• ml-kernel-sigmoid

  Sigmoid (hyperbolic tangent) kernel

  2.0.0—
• ml-disjoint-set

  Efficient disjoint-set data structure implementation

  1.0.0—
• ml-pca

  Principal component analysis

  4.1.1—
• ml-array-mode

  Get the most repeated value in an array

  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-hclust

  Hierarchical clustering algorithms

  4.0.0—
• ml-regression-polynomial-2d

  Polynomial Regression 2D

  1.0.0—
• ml-cart

  CART decision tree algorithm

  2.1.1—
• ml-affine-transform

  Get and apply affine transform to 2D points.

  1.0.3—
• ml-ransac

  Fit a model to noisy data by excluding outliers. This is an implementation of the RANSAC algorithm.

  1.0.0—
• ml-random-forest

  Random forest for classification and regression

  2.1.0—
• ml-peak-shape-generator

  Generate various peak shapes

  5.5.0—
• ml-savitzky-golay

  Savitzky–Golay filter

  5.0.0—
• ml-savitzky-golay-generalized

  Savitzky–Golay filter in Javascript

  5.0.0—
• ml-pad-array

  Function to fill an array in Javascript

  2.0.0—
• ml-gsd

  Global Spectral Deconvolution

  14.2.2—
• ml-spectra-fitting

  Fit spectra using gaussian or lorentzian

  6.2.2—

Showing 50 of 110 packages