Skip to main content

A batch perceptron implementation using numpy and scikit-learn

Project description

A batch perceptron implementation using numpy and scikit-learn.

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

batch_perceptron-0.1.4.tar.gz (2.1 kB view details)

Uploaded Source

Built Distribution

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

batch_perceptron-0.1.4-py3-none-any.whl (3.9 kB view details)

Uploaded Python 3

File details

Details for the file batch_perceptron-0.1.4.tar.gz.

File metadata

  • Download URL: batch_perceptron-0.1.4.tar.gz
  • Upload date:
  • Size: 2.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.5

File hashes

Hashes for batch_perceptron-0.1.4.tar.gz
Algorithm Hash digest
SHA256 21ca6cadea7476b22be237c39d787475aed88f4f8df2e2bf629c9ef39b320a7a
MD5 3b5ab66fc53c0b01016b94d0ff9636ce
BLAKE2b-256 22dcd89cc467d87d0dad64f22d92a978683a11edbc82fd91c287899c731dce4d

See more details on using hashes here.

File details

Details for the file batch_perceptron-0.1.4-py3-none-any.whl.

File metadata

File hashes

Hashes for batch_perceptron-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 6dc7b54184b58592f18194e70abf9b6b6957575d3a355a61acf91f9e87e02d05
MD5 b7e4302a46c79923b2d4a4489c473bca
BLAKE2b-256 400f06fa31554bcf31afdccba05c06ab17104bf04edd1aad774c1a26a5f90935

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