linear-regression-gradient-descent | ️ Linear Regression with Gradient Descent | Machine Learning library
kandi X-RAY | linear-regression-gradient-descent Summary
kandi X-RAY | linear-regression-gradient-descent Summary
️ Linear Regression with Gradient Descent in JavaScript (Unvectorized, Visualized)
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Trending Discussions on linear-regression-gradient-descent
QUESTION
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 00:36Found 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
QUESTION
I implemented my first (univariate) linear regression with gradient descent in JavaScript.
...ANSWER
Answered 2017-Oct-18 at 10:09First 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.
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Install linear-regression-gradient-descent
cd linear-regression-gradient-descent
npm install
npm start
visit http://localhost:3000/
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