Skip to main content

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


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-0.0.73.tar.gz (14.2 kB view details)

Uploaded Source

Built Distribution

pymlutil-0.0.73-py3-none-any.whl (19.7 kB view details)

Uploaded Python 3

File details

Details for the file pymlutil-0.0.73.tar.gz.

File metadata

  • Download URL: pymlutil-0.0.73.tar.gz
  • Upload date:
  • Size: 14.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.62.2 importlib-metadata/4.8.2 keyring/18.0.1 rfc3986/2.0.0 colorama/0.4.3 CPython/3.8.10

File hashes

Hashes for pymlutil-0.0.73.tar.gz
Algorithm Hash digest
SHA256 aaeac63f795c4760d5fcec203e8cd6e62118e75aaa1205b94d7fc48c8114b729
MD5 8081916822f1afbbf0b4eb20c64a74f8
BLAKE2b-256 cf19c23533e1338b803082eb5adfedc003730f9b3e2e4250b0733a8687e7ba47

See more details on using hashes here.

File details

Details for the file pymlutil-0.0.73-py3-none-any.whl.

File metadata

  • Download URL: pymlutil-0.0.73-py3-none-any.whl
  • Upload date:
  • Size: 19.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.62.2 importlib-metadata/4.8.2 keyring/18.0.1 rfc3986/2.0.0 colorama/0.4.3 CPython/3.8.10

File hashes

Hashes for pymlutil-0.0.73-py3-none-any.whl
Algorithm Hash digest
SHA256 4268c960787d5e225d425cea166029c74fd7b34bc8cbef83557f3dde4456ea3a
MD5 2fd0a66fff5a26d69f532f906b443b26
BLAKE2b-256 920fc6f231509a2095a96c19558143f7e8dcf495b99c0d53b7d72f04590a28a4

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page