On Wednesday, November 1, 2017 at 8:38:48 PM UTC, Rupert Smith wrote:
>
> How would I write a curve fitting alrogithm with this? So I have a 3rd 
> order polynomial:
>
> y = a + b.x + c.x^2 + d.x^3
>
> and some linear algebra on 100 data points will yield values for a, b, c 
> and d. I'll post up the python code tomorrow, it seems to use an in-built 
> fit_curve() function.
>

Here is the NumPy code that I would like to convert to NumElm: 

import time
import numpy as nm

def get_curve(measurements, timestamps):
  y = measurements
  x = timestamps
  z = nm.polyfit(x, y, 3)
  f = nm.poly1d(z)


  return f


but polyfit and poly1d have not been ported to NumElm. I will take a look 
into how to port them.

Rupert

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