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Machine learning library containing algorithms for data analysis, statistical modelling, inference and pattern recognition

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MSolve.MachineLearning

This library features machine learning algorithms for data analysis, statistical modelling, inference and pattern recognition. It uses the TensorFlow.NET and Microsoft.ML.TensorFlow.Redist NuGet packages.

Features

  • Linear Regression: Estimation of the optimal linear relationship between a scalar dependent variable and one or more independent variables using Least Squares Fitting.

  • Neural Networks: Estimation of a nonlinear relationship between a scalar dependent variable and one or more independent variables using a neural network.

Installation instructions

You can choose either to clone the solution or downloads it as a zip file.

Clone solution

  1. Under the repository name, click Clone or Download option.

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  1. In the popup appearing choose the Use HTTPS option.

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  1. Use the alt text to copy the link provided.

  2. Open Visual Studio. In Team Explorer window appearing in your screen under Local Git Repositories click the Clone option. If Team Explorer window is not visible you can enable in View -> Team Explorer

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  1. In the text box appearing paste the link.

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  1. Click clone and Visual Studio will automatically download and import MSolve.MachineLearning

Download as ZIP

  1. Under the repository name, click Clone or Download option

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  1. Click Download ZIP option. MSolve.Learning will be downloaded as a ZIP file.

  2. Extract the ZIP file to the folder of choice.

  3. Double click on MSolve.MachineLearning.sln file to open the code with Visual Studio

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Machine learning library containing algorithms for data analysis, statistical modelling, inference and pattern recognition

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