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Package provides javascript implementation of linear regression and logistic regression

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hi, While we understand the model.fit(trainingData) will return a "model" json, how can we reuse this model next time, assuming i saved this JSON locally, so that i don't create...

Would like to be able to get the equation of the curve that was calculated. Or the coefficients of the polynomials used to build the curve. ![изображение](https://user-images.githubusercontent.com/28807056/90634660-b9b25080-e230-11ea-8542-afa4d145eeb4.png) ![изображение](https://user-images.githubusercontent.com/28807056/90634703-cc2c8a00-e230-11ea-813e-234c10ec007b.png)

However, if I try a simple model like y= mx+c, then it gives some weights but never gets the y-intercept right. It's always close to zero. I did try playing...