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 2 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
File details
Details for the file pairwiseprediction-0.240304.2.tar.gz
.
File metadata
- Download URL: pairwiseprediction-0.240304.2.tar.gz
- Upload date:
- Size: 5.2 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
Algorithm | Hash digest | |
---|---|---|
SHA256 | 299a2419c99d3b8ce08bee00d8e3560f320d0ddd418973b5cd9c3dd8d3a749b2 |
|
MD5 | d17a2c26fa22dbb05de8596059aaade0 |
|
BLAKE2b-256 | abb9d0e2087a50ddd5584c6af7667f4e76fee249e5ba814a2204a1ee018cde73 |
File details
Details for the file pairwiseprediction-0.240304.2-py3-none-any.whl
.
File metadata
- Download URL: pairwiseprediction-0.240304.2-py3-none-any.whl
- Upload date:
- Size: 6.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.7.1 CPython/3.10.6 Linux/5.15.0-94-generic
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e06face376b5b40985a188e882bb72ee037e8fae58dc7f30b39a7bc6bd3606b7 |
|
MD5 | a19903f36b030d8e8e75fca0237cddc0 |
|
BLAKE2b-256 | 02202810e8bd16d1d76cdb5abf2b3d94701ab942a18f88ccca6782123523c42f |