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estebanz01 / ruby-statistics

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Implement KS test for one sample

estebanz01
estebanz01 commented Dec 31, 2018

The idea is to implement the KS test where we pass a sample and a distribution object, to validate if it belongs or not.

Something like this:

distribution = Distribution::StandardNormal.new
samples = distribution.random(elements: 1_000, seed: 100)
# This should return null hypothesis as true,
# so we assume that the sample belongs to the specified distribution.
StatisticalTest::KS
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Good first issue enhancement help wanted

dcwuser / metanumerics

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Meta.Numerics is library for advanced numerical computing on the .NET platform. It offers an object-oriented API for statistical analysis, advanced functions, Fourier transforms, numerical integration and optimization, and matrix algebra.

statistics math dotnet optimization matrix matrix-factorization statistical-analysis special-functions scientific-computing matrix-multiplication data-analysis statistical-tests math-library numerics numerical-optimization numerical-integration numerical-analysis matrix-library csharp-library matrix-algebra
  • Updated Sep 7, 2020
  • C#

StarlangSoftware / Classification-Py

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Machine learning library for classification tasks

deep-neural-networks feature-selection naive-bayes-classifier pca statistical-tests dataset-manager decision-tree-classifier decision-stumps multilayer-perceptron-network quadratic-discriminant-analysis linear-discriminant-analysis classification-algorithm multilayer-perceptron random-forest-classifier subset-selection rocchio-algorithm bagging-trees autoencoder-classification
  • Updated Oct 15, 2020
  • Python

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