Handle a regression problem inducing the model on pairs A,B of instances
Project description
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
-
- the prediction is based on interpolation which is the type of result expected from a regression
-
- 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
-
- the prediction is the value provided directly by the regressor
-
- the regression value can be converted to a hard prediction through binarization
-
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
Built Distribution
Close
Hashes for pairwiseprediction-0.240311.1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9168a503e8dfcd42b394ec02fb25d667c5a146f203afc2e0b8e588aac7f212ec |
|
MD5 | 9f97e8f9580f48d32b1f67632df892ca |
|
BLAKE2b-256 | 0885e8c0f67fb942d92b3c8e5d3e017e1c847d425b223b5bafb0ea659bdfddf9 |
Close
Hashes for pairwiseprediction-0.240311.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2f129f10fadea3b9b2bbe7fd1fb949a52fc86139a888cb87268d678628022fba |
|
MD5 | ad7248cdce62e349199932a69138b054 |
|
BLAKE2b-256 | ebc070898ac1efdfd32b1d71c6ce7ed250b5ecb0b701cf72b14b75aac36d2038 |