linear-regression-gradient-descent | ️ Linear Regression with Gradient Descent | Machine Learning library

 by   javascript-machine-learning JavaScript Version: Current License: No License

kandi X-RAY | linear-regression-gradient-descent Summary

kandi X-RAY | linear-regression-gradient-descent Summary

linear-regression-gradient-descent is a JavaScript library typically used in Artificial Intelligence, Machine Learning applications. linear-regression-gradient-descent has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

️ Linear Regression with Gradient Descent in JavaScript (Unvectorized, Visualized)
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              linear-regression-gradient-descent has a low active ecosystem.
              It has 65 star(s) with 8 fork(s). There are 4 watchers for this library.
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              It had no major release in the last 6 months.
              There are 0 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of linear-regression-gradient-descent is current.

            kandi-Quality Quality

              linear-regression-gradient-descent has no bugs reported.

            kandi-Security Security

              linear-regression-gradient-descent has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              linear-regression-gradient-descent does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              linear-regression-gradient-descent releases are not available. You will need to build from source code and install.
              Installation instructions are available. Examples and code snippets are not available.

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            linear-regression-gradient-descent Key Features

            No Key Features are available at this moment for linear-regression-gradient-descent.

            linear-regression-gradient-descent Examples and Code Snippets

            No Code Snippets are available at this moment for linear-regression-gradient-descent.

            Community Discussions

            QUESTION

            Python function keeps returning nan?
            Asked 2019-May-12 at 00:36

            I am currently learning python by rewriting some of the old programs I wrote using other languages. But for some reason, I keep running into an issue where a function call keeps returning a nan. Below is a code snippet.

            The function theta0PartialDerivative returns a number if I call it outside the gradient descent function, but returns a nan otherwise. I am unsure what the issue is?

            ...

            ANSWER

            Answered 2019-May-12 at 00:36

            Found the problem. Alpha, the step variable, was too large (for the dataset I was dealing with) and caused the partial derivatives to diverge instead of converge. I changed alpha from 0.5 to 0.13 and it works

            Source https://stackoverflow.com/questions/56086303

            QUESTION

            Gradient Descent converging faster for one parameter than the other parameter
            Asked 2017-Nov-05 at 02:05

            I implemented my first (univariate) linear regression with gradient descent in JavaScript.

            ...

            ANSWER

            Answered 2017-Oct-18 at 10:09

            First of all you have to look at speed of convergence to global minimum not at speed of changes of bias. There are no error in model (Maybe you just forget 2/N coefficient but for m and b coefficient this parameter will be 1.).

            As you know gradient descent method is using error from prediction for updating weights on each iteration. So if your bias get small error then updates will grab small changes. It's normal behavior for model.

            There are example with good explanation.

            PS. Custom change for learning rate can lead you to anomaly behavior and problem with reducing to gminimum. Recommend this course.

            Source https://stackoverflow.com/questions/46805648

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install linear-regression-gradient-descent

            git clone git@github.com:javascript-machine-learning/linear-regression-gradient-descent.git
            cd linear-regression-gradient-descent
            npm install
            npm start
            visit http://localhost:3000/

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            https://github.com/javascript-machine-learning/linear-regression-gradient-descent.git

          • CLI

            gh repo clone javascript-machine-learning/linear-regression-gradient-descent

          • sshUrl

            git@github.com:javascript-machine-learning/linear-regression-gradient-descent.git

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