js-cookie VS sysidentpy

Once the user is logged in, you may need to access information like the user's name, email, etc. Choreo sends this information encoded in a cookie (named userinfo) upon successful login. We can extract the information using a cookie parsing library. For this example, we will be using js-cookie library.

Interesting thread. If oracle were to send a cease and desist to everyone that uses "javascript" I would have received one years ago: https://github.com/js-cookie/js-cookie

You could just use something like https://www.npmjs.com/package/js-cookie

Have a look at js-cookie. Also, read this.

js-cookie might help?

Are you using js-cookie, this js-cookie, on the server?

So something like this... (I’ll be using this package to simplify the code)

This is a simple video start guide to see how to get, set and remove cookies using npm package js-cookie in react.

Link para o site da documentação: SysIdentPy - SysIdentPy

I'm the only maintainer, but I keep including new features (some exclusives, like the algorithm I've developed in my thesis to create NARMAX models), improving the code and documentation, and fixing bugs.

benchmark codes: Welcome to SysIdentPy’s documentation! — NARMAX models

github: wilsonrljr/sysidentpy: A Python Package For System Identification Using NARMAX Models (github.com)

I built a package where you can build polynomial NARMAX models using the most used method for model selection of this class of models in the beckend. In addition, you can built NARX Neural Networks for forecasting problems (this is built on top of Pytorch) and you can use any model that have a fit/predict method (Catboost, any estimator from sklearn) in a NARX configuration to perform infinity-steps-ahead prediction. Maybe its worth a try. Here is the link of the package: GitHub - wilsonrljr/sysidentpy: A Python Package For System Identification Using NARMAX Models