Skip to main content

It is an implmentation of perceptron

Project description

Perceptron_pypi

python package indexing for Perceptron implemetation

How to use

pip install Perceptron-pypi-vishalbansal-1650
## Initiate perceptron and fit it
model = Perceptron(eta=eta, epochs=epochs)
model.fit(x,y)
## Prepare dataset
x,y = prepare_data(df)
## Save model file
save_model(model,modelName)
## Save plot
save_plot(df,plotName,model)

URL for pypi

Perceptron pypi page

References

Python Documentation for pypi

Offical docs for GitHub Actions

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Perceptron_pypi-vishalbansal-1650-0.0.5.tar.gz (4.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file Perceptron_pypi-vishalbansal-1650-0.0.5.tar.gz.

File metadata

  • Download URL: Perceptron_pypi-vishalbansal-1650-0.0.5.tar.gz
  • Upload date:
  • Size: 4.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for Perceptron_pypi-vishalbansal-1650-0.0.5.tar.gz
Algorithm Hash digest
SHA256 fd25bec5817d0888c1abd36f9d5e0d3358c02fda733f14fbafc1694fe83bbb38
MD5 ad554fbb7b5a49f239c22e7080d1ac17
BLAKE2b-256 669e4288dc035f58daa2d1097f8f39a31d72f43de1683e00b16662cb1f6a0163

See more details on using hashes here.

File details

Details for the file Perceptron_pypi_vishalbansal_1650-0.0.5-py3-none-any.whl.

File metadata

  • Download URL: Perceptron_pypi_vishalbansal_1650-0.0.5-py3-none-any.whl
  • Upload date:
  • Size: 5.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for Perceptron_pypi_vishalbansal_1650-0.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 a734d70d655491ca25a155199dbfbfa234f6324980eff7100e3a9452b8cdc9d7
MD5 9dca953c0ff7c3668a15c21d5fae20d8
BLAKE2b-256 e3d0c6489e8fcd9669ab8a89a8b4227aa8badbada9b45b14d0f24f4a3ad9858e

See more details on using hashes here.

Supported by

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