Skip to main content

Handle a regression problem inducing the model on pairs A,B of instances

Project description

test codecov pypi Python version license: GPL v3

API documentation Downloads PyPI - Downloads

pairwiseprediction

Latest Release | Current Code | API Documentation


Handle a regression problem inducing the model on pairs A,B of instances.

Last column of X is the continuous target. y is ignored.

Four modes are hipotetically possible, although only mode 'b' below is provided by now to ease compatibility with sklearn:

  • a classification algorithm is trained to tell when instance A has higher target than instance B
      1. the prediction is based on interpolation which is the type of result expected from a regression
      1. the interpolated value can be converted to a hard prediction through binarization
  • a regression algorithm is trained to predict the difference between target values of A,B
      1. the prediction is the value provided directly by the regressor
      1. the regression value can be converted to a hard prediction through binarization

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

pairwiseprediction-0.240311.2.tar.gz (8.1 kB view details)

Uploaded Source

Built Distribution

pairwiseprediction-0.240311.2-py3-none-any.whl (9.4 kB view details)

Uploaded Python 3

File details

Details for the file pairwiseprediction-0.240311.2.tar.gz.

File metadata

  • Download URL: pairwiseprediction-0.240311.2.tar.gz
  • Upload date:
  • Size: 8.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.10.6 Linux/5.15.0-94-generic

File hashes

Hashes for pairwiseprediction-0.240311.2.tar.gz
Algorithm Hash digest
SHA256 45e77016efeaefc29babbd8c8b45898c41de7bc9d244d1c65a7ef3c25c7958ed
MD5 cf3e979e196991cc7de2d30dbb383718
BLAKE2b-256 5508c88bd700fb765da4c22d82fb18cecb8c4521049d013c409132bb54f71892

See more details on using hashes here.

File details

Details for the file pairwiseprediction-0.240311.2-py3-none-any.whl.

File metadata

File hashes

Hashes for pairwiseprediction-0.240311.2-py3-none-any.whl
Algorithm Hash digest
SHA256 84f0ddc29cf37a345c22d107bb0b037a78e67be5537245b543613d5b3cbf3ee5
MD5 eb1ca9835d4323c5b3673fdc0ad14cd5
BLAKE2b-256 e97f3c665dc93ee0b5f5296c0ce6f4deefd55725b1e65f0f9e304f54e4e6d161

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