alexanderbutyaev / kern_smooth Goto Github PK

Consider changing this line to be the following:

if bandwidth is None:

I had trouble passing in my own 2 bandwidths as an array until I tried that change

Hi devs. Just stopping by to let you know that could use this library to continuously set up estimation and submission, and maybe win a prize. It's easy to use github actions to set and forget. I'd have put this in discussion if it were enabled.

1. Fork https://lnkd.in/g6AEMYW

2. Open up https://lnkd.in/gUm4Ns5 in colab and run it to generate yourself a write key.

3. Save the key as a Github secret called WRITE_KEY

4. Click on "accept" when Github asks you if you want to enable GitHub actions. Go to Actions and you'll see the only action used in your repo (similar to https://lnkd.in/gv_Agt6). Enable it.

Or see links from this post.
https://www.linkedin.com/posts/petercotton_micropredictionmicroactors-activity-6746618350325104640-UIW3

When passing x and y with length one to densCols I get the following error message (I'm not sure if the second one refers to the same problem).

/AAA/lib/python3.8/site-packages/kern_smooth/ks.py:48: RuntimeWarning: invalid value encountered in true_divide
  cols[select] = colpal / (len(dens) - 1.) if len(dens) > 0 else colpal
<__array_function__ internals>:5: UserWarning: Warning: converting a masked element to nan.
/AAA/lib/python3.8/site-packages/numpy/core/_asarray.py:85: UserWarning: Warning: converting a masked element to nan.
  return array(a, dtype, copy=False, order=order)

I didn't trace values through the function, but I wonder if len(dens) - 1. evaluates to 0 in these cases leading to division by zero.

I'm using kern-smooth version 1.0.12 and numpy version 1.18.2.