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
- cmd(command, check=True, timeout=None): execute subprocess.call prining the execution time and results
metrics
s3
python3 -clone
### torch_util
### version
### workflow
[Packaging Python Projects](https://www.freecodecamp.org/news/build-your-first-python-package/)
[How to Publish an Open-Source Python Package to PyPI](https://realpython.com/pypi-publish-python-package/)
- Install twine:
```cmd
pip3 install twine
```
- Build whl:
```cmd
py setup.py sdist bdist_wheel
```
- Upload package to pipy
```cmd
twine upload dist/*
```
[pymlutil](https://pypi.org/project/pymlutil)
- Load package into project
```cmd
pip3 install --upgrade pymlutil
```
- Include pymlutil into project
```cmd
from pymlutil import *
Notes
Packaging and Distributing Python Projects Package Discovery
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