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
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