mzfit
zfit wrapper for lazy analysts GitHub
Author: Keita Mizukoshi (Kobe Univ. mzks@stu.kobe-u.ac.jp, @mzks)
Concept
zfit is a nice fitting tools on python, built on object-oriented interface.
However, I would sometime like to fit easily. I do not always want to care minimizers and cost function.
I usually take an approach for good fitting, try-error-retry with visual environment.
For that purpose, raw zfit is slightly much.
To prevent tenosynovitis of lazy analysts, I made a wrapper of zfit, mzfit
Install via pip
pip install mzfit
Simple Usage
See notebook/mzfit.ipynb.
Install for developer
git clone https://github.com/mzks/mzfit
python -m pip install -e mzfit
1 maintainer
Release files for mzfit 0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mzfit-0.1-py3-none-any.whl | Python 3 | none | any | Details |
Release files / mzfit-0.1-py3-none-any.whl
| Download URL | mzfit-0.1-py3-none-any.whl |
|---|---|
| Size | 4.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1a5db8357b3dd39d7f948f5201ee5d594d59160738e16592b0c878e02d85cd83
|
|
BLAKE2b-256 checksum How to use checksums |
4e99cf1b383152cbc6736aa38ce6470816ec17d15df855afbac3b22dde5851ee
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.7.9
|
