Feature request : Add replacement based sampling method with weight decay for
choosing samples from a list/array
I would like to add it with an algorithm as follows :
for _ in range(target_size):
idx = np.random.choice(a, 1, p=p) # Get a sample
samples.append(a[idx]) # Append sam
On Fri, May 2, 2025 at 9:55 AM Shourya Jain via NumPy-Discussion <
numpy-discussion@python.org> wrote:
> Feature request : Add replacement based sampling method with weight decay
> for choosing samples from a list/array
>
> I would like to add it with an algorithm as follows :
> for _ in range(tar
-- Forwarded message -
From: matti picus
Date: Fri, May 2, 2025 at 11:05 AM
Subject: Re: [pypy-dev] Re: [Numpy-discussion] Better compatibility of
the Python scientific/data stack with fast Python interpreters
To: PyPy Developer Mailing List , Ralf Gommers
, hpy-dev
On Wed, Apr
Hi, all!
The next NumPy Optimization Team meeting will be held on Monday, May 5th at
17:00 UTC.
Join us via Zoom:
https://numfocus-org.zoom.us/j/81261288210?pwd=iwV99tGSjR61RTGEERKM4QKxe46g1n.1
Everyone is welcome and encouraged to attend.
To add to the meeting agenda the topics you’d like to discu
