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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()

gaussian_bias

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/*
    

pymlutil

  • Load package into project

    pip3 install --upgrade pymlutil
    
  • Include pymlutil into project

from pymlutil import *

Notes

Project details


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