Fast Averages Shifted Histogram
Project description
FastASH
Fast Averaged Shifted Histograms.
Density estimation which approximate a triangular Kernel Density Estimation (KDE. Cython inside.
Install
If Cython is installed, the sources files in '.pyx' are used. Otherwise, the '.cpp' files are directly used.
From PyPi
Simply use the Pypi command (numpy is mandatorry to achieve the installation due to cython components) :
pip install numpy
pip install fastash
From Source
Simply use the install command :
make install
This command is usefull during the developpement work.
Build and deploy
To build the package :
make build
Then, the procedure to deploy is the following (version number need to be incremented) :
make dist
make deploy
Getting Started
exemple usage in test/test_2d.py
help for packaging
script files are based on the package https://github.com/cmcqueen/simplerandom .
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
File details
Details for the file fastash-0.1.7.tar.gz.
File metadata
- Download URL: fastash-0.1.7.tar.gz
- Upload date:
- Size: 144.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.9.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
55ec1fe1b3c501401e8db4150ec9e65ccd1a12c60e7f218bb0b06433e6496b4b
|
|
| MD5 |
e5998f96923183bd02cce6fb6ed7f980
|
|
| BLAKE2b-256 |
f40c7dc467339dd4bf0cfd21e9a7f3b74c40d4bb336227e82034a3413c264388
|
