levenberg-marquardt
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mljs
Curve fitting method in JavaScript
I have manually build it and trying to import it directly in the browser. ``` import {LM} from '/node_modules/ml-levenberg-marquardt/dist/ml-levenberg-marquardt.js' ``` and getting the below error. ``` Uncaught SyntaxError: The requested...
[mljs-curve-fitting](https://github.com/mljs/curve-fitting) was deprecated in 2020 with this as an alternative. However, if I am correct this package, unlike the deprecated curve-fitting only supports 2D data?
Running the included example on RunKit only converges in ~15% of cases and depends strongly on the chosen initial values. ```js const LM = require("ml-levenberg-marquardt"); // function that receives the...
I ran into a problem and had to make a source modification for the convergence criteria. The currently-implemented convergence criterion operates in absolute terms of the squared residuals. Real data...
@lpatiny at the moment the package has a structure to optimize functions f(x) with unlimited parameters to be optimized. On the way to use this package to optimize bi-dimensional data....
This pull request resolves #17 by adding support for regression with known standard deviations of data. This can be done with the optional parameters `xError` and `yError` on the `data`...
Hi all, Thank you for the nice library. It is quite useful and easy to use. I am wondering if there is an easy way for me to implement a...
The parametrizedFunction must accept a constant. I.e. all the other parameters that does not need to be fitted function parametrizedFunction(params, constants) { }
We should implement a globalization part. It could put the method close enough to the optimum before starting with the gradient descent method.
The test suite contains a set of points to fit without indicating where those numbers came from. Plotting them in Excel suggests that the 3rd value (`y = 21.119`) may...
