Open esakhib opened 1 year ago
This dumps the whole model (and data) https://jekel.me/piecewise_linear_fit_py/examples.html#model-persistence which you may or may not want to do.
These models don't really work with slopes, they work on model parameters (beta
) and breakpoints. The difference between model parameters and slopes is how I formulate the piecewise problem. Take a look at https://github.com/cjekel/piecewise_linear_fit_py/issues/13#issuecomment-426719085 which save the beta and breakpoint values from a fitted model. After doing that predict
call, it repopulates all the model parameters, and you can get the slopes from it.
Does this help?
I did something like this:
x,y = read_from_file() my_pwlf = pwlf.PiecewiseLinFit(x, y) my_pwlf.fitfast(breaks_num=15, pop=500) x_out = np.linspace(min(x), max(x), num=10000) y_out = my_pwlf.predict(x_out)
And then I calculated and saved all 15 slopes values in the file. Now, I want to load x, y and slopes, and get y_out, can I get this or must calculate fitfast again? Also I have saved duration of each slope.