bias-correction

python library for bias_correction

Project description

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).

pip install bias-correction

Latest documentation is available here.

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')

This version

0.4

Aug 4, 2021

0.3.1

Aug 4, 2021

0.3

Jul 26, 2021

0.2

Jun 2, 2020

0.1

Jun 2, 2020

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