python library for bias_correction
Project description
About
The module bias_correction consists of functions to perform bias correction of datasets to remove biases across datasets. Implemented methods include quantile mapping, modified quantile mapping , scaled distribution mapping (Gamma and Normal Corrections).
Installation
pip install bias-correction
Documentation
Latest documentation is available here.
Usage
bias_correction is easy to use. Just import:
from bias_correction import BiasCorrection
Instantiate the bias correction class as:
bc = BiasCorrection(reference, model, data_to_be_corrected)
Perform correction specifying the method to be used:
corrected = bc.correct(method='gamma_mapping')
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
bias_correction-0.4.tar.gz
(3.9 kB
view hashes)
Built Distribution
Close
Hashes for bias_correction-0.4-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b2d9583f41b0c58294b481b647a1c6b8eed7f7c098df49ce5ef40eafaa1f2b4d |
|
| MD5 | 1a7649c86cc4a0e2fb5750e594e8f446 |
|
| BLAKE2b-256 | fc6e02010f17998ebffa78d18ced0bc74c4c092a660a8515aab866084454d1cb |
