Making pdf estimates as seamless as possible
Project description
parzen-windows
Description: A Python module that will take input (training data) and estimate the underlying probability density function with Parzen Windows
To build run
python3 -m build
while in the parzen_windows directory
then navigate to ./dist directory
Then run
twine upload dist/*
or
twine upload --skip-existing dist/*
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file parzen_windows-0.0.3.tar.gz.
File metadata
- Download URL: parzen_windows-0.0.3.tar.gz
- Upload date:
- Size: 2.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4bd3f682943ac997066d975ef5a32981c6af2137923b1090180b85b92eb5624f
|
|
| MD5 |
0eed2caf1525075468fc1965bd2af512
|
|
| BLAKE2b-256 |
b3f93fadb4319ff1108ce122c9f134c7fa5a99d78dfe9384e441e5b9dc102954
|
File details
Details for the file parzen_windows-0.0.3-py3-none-any.whl.
File metadata
- Download URL: parzen_windows-0.0.3-py3-none-any.whl
- Upload date:
- Size: 3.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f46d3a581f44436edb99411db9a3785f3248f5a98f66e65f4ecee8093097c1a8
|
|
| MD5 |
f93ad5caa09bf2f106396a2346d76647
|
|
| BLAKE2b-256 |
7a16cd591b95b5b3526ef196c89fe18dbdab324e89e0a3a10c150bd1d67621e6
|
