Discover mljs/regression-simple-linear Open Source project

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Rank 882,216 (Top 18 %)
Language
TypeScript
License
MIT License
Created over 7 years ago
Updated 22 days ago

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Simple Linear Regression

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Distance functions to compare vectors

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Random forest for classification and regression.

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Decision trees using CART implementation

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Functional utilities to transform and compute stats on arrays

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curve-fitting

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

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confusion-matrix

Confusion matrix for supervised classification

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PLS regression algorithm

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Global Spectra Deconvolution + Peak optimizer

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conrec

JavaScript implementation of the CONREC contouring algorithm

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tree-similarity

Tree similarity in Javascript

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convolution

Convolution using the FFT or direct algorithm.

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fft

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cross-validation

Utility library to make cross validation with supervised classifiers

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spectra-processing

Various methods to help spectra processing

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tree-set

A JavaScript emulator of the TreeSet Java class

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bit-array

Bit-array operations in JavaScript

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fcnnls

Fast Combinatorial Non-negative Least Squares

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distance-euclidean

Compute the euclidean distance between two vectors

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tanimoto

Tanimoto similarity and distance

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combinations

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

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array-xy

Functional utilities for sets of points

dataset-iris

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distance-matrix

Compute a distance-matrix based on a custom distance function

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sparse-matrix

Sparse matrix library

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floyd-warshall

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

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spectra-fitting

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Robust polynomial regression using LMedS

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Exponential Regression

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

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disjoint-set

Efficient disjoint-set data structure implementation

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stat

Functions for computing stats on arrays and matrices

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nmf

Non-negative Matrix Factorization (NMF)

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performance

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array-utils

Some array utilities in JavaScript

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expectation-maximization

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ml-pipe

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airpls

Baseline correction using adaptive iteratively reweighted penalized least squares

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regression-theil-sen

Method for robust fitting a line to a set of points

isolation-forest

binary-search

dataset

dataset for multivariate analysis

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generate-dataset

Generate synthetic datasets for testing

statistics

signal-processing

pad-array

pcr

random

matrix-peaks-finder

kernel

A factory for kernel functions

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calculus

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simulated-annealing

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hash-table

Open addressing hash table with double hashing

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dataset-metadata

a class to manipulate metadata for statistical analysis

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datamining

Old repository to be split

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peak-shape-generator

Generate various peak shapes.

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regression-base

Base class for regression packages

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preprocess

Preprocess functions to improve the representation and quality of data

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baseline-correction-regression

Iterative regression-based baseline correction.

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mljs/regression-simple-linear

mljs

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