Radial Basis Interpolation From Scratch Using Python

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This video covers how to implement a one dimensional radial basis function interpolator from scratch using just numpy. A radial basis interpolation is a simple yet power way of approximating nonlinear functions using a small subset of data.
  1. CSPythonForScience
  2. Python
  3. Basis Function
  4. Numpy
  5. Interpolation
  6. Data Science
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Комментарии
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I'm using pycharm and following along, interpreter didn't give me any issues but I can't see anything, turns out I need to add a plt.show() after plotting, hope this helps anyone else .

mohamedamineelmaaoui
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Nice video! Could you please post the code as a link in the description? Much appreciated!

suparki
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Hi! I like the video, but the sound is to low, is there a way to raise the volume? (my laptop was at 100, I had to connect a radio to be able to listen > . < )

marelyruiz
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how did u chose epsilon as 2? how do u choose epsilon

kevinvigi
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I love that you showed a example of RBF interpolation! Bravo! But you gave me yet another example of why I HATE Python! I could’ve done the same thing in half as many lines with Matlab (Octave if you are poor or cheap), and a human could actually read it and understand what was going on. But nonetheless thanks for the example! Oh, also turn up your volume! I could only barely hear you! That made the video actually a bit painful😢

hu
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Will this code work with multi-dimensional data?

ajaisingh
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You can't understand!. I really mean (thankyou).

Sankhyan