https://github.com/pankajkarman/bias_correction

python library for bias correction
https://github.com/pankajkarman/bias_correction

Last synced: 9 days ago
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python library for bias correction

• Host: GitHub
• URL: https://github.com/pankajkarman/bias_correction
• Owner: pankajkarman
• License: mit
• Created: 2020-06-02T19:39:19.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2022-12-19T13:34:48.000Z (almost 2 years ago)
• Last Synced: 2024-06-11T20:33:28.090Z (5 months ago)
• Language: Jupyter Notebook
• Size: 200 KB
• Stars: 29
• Watchers: 2
• Forks: 8
• Open Issues: 10
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
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### About

The module `bias_correction` consists of functions to perform bias correction of datasets to remove biases across datasets. Implemented methods include [quantile mapping](https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.2168), [modified quantile mapping](https://www.sciencedirect.com/science/article/abs/pii/S0034425716302000?via%3Dihub), [scaled distribution mapping (Gamma and Normal Corrections)](https://www.hydrol-earth-syst-sci.net/21/2649/2017/). 

### Installation

Install using pip:

```bash

pip install bias-correction

```

Install using conda:

```bash

conda install -c conda-forge bias_correction

```

## Documentation

Latest documentation is available [here](https://pankajkarman.github.io/bias_correction/index.html).

### Usage

`bias_correction` is easy to use. Just import:

```python

from bias_correction import BiasCorrection, XBiasCorrection

```

Instantiate the bias correction class as:

```python

bc = BiasCorrection(reference, model, data_to_be_corrected)

xbc = XBiasCorrection(reference, model, data_to_be_corrected)

```

Perform correction specifying the method to be used:

```python

corrected = bc.correct(method='gamma_mapping')

xcorrected = xbc.correct(method='gamma_mapping')

```