Python Machine Learning Utilities
Project description
pymlutil
Python Machine Learning utilities:
functions
GaussianBasis
Computes a unit height gaussian bell curve function
$ GaussianBasis(x, zero, sigma) = e^{-\frac{(x-zero)^2}{2*sigma^2}} $ \
- x : function input
- zero : location of the peak center
- sigma: curve with or standard deviation
def GaussianBasis(x, zero=0.0, sigma=0.33)
Example:
x = np.arange(-2.0, 2.0, 0.01)
y = GaussianBasis(torch.tensor(x))
plt.plot(x, y)
plt.show()
imutial
jsonutil
metrics
s3
torch_util
version
workflow
Packaging Python Projects How to Publish an Open-Source Python Package to PyPI
-
Install twine:
pip3 install twine
-
Build whl:
py setup.py sdist bdist_wheel
-
Upload package to pipy
twine upload dist/*
-
Load package into project
pip3 install --upgrade pymlutil
-
Include pymlutil into project
from pymlutil import *
Notes
Project details
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
pymlutil-0.0.59.tar.gz
(13.4 kB
view hashes)
Built Distribution
pymlutil-0.0.59-py3-none-any.whl
(18.6 kB
view hashes)
Close
Hashes for pymlutil-0.0.59-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c13c65f80bd3d706eaabc6feeb3720795ce06251fa49bf126c43e68c795d2f0b |
|
MD5 | bdd2c27a0dc1c9fb5d7f7092bb4da5cf |
|
BLAKE2b-256 | 637dde9451993d47a47d07da97d598ac1902559db555daee307d5e6bd3aa973d |