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Calibrate is a visual analytics tool used to analyze model calibration in Jupyter Notebooks. Below, we show what Calibrate looks like in practice.\n\n## Installation\n\nInstalling pycalibrate is easy. Simply run:\n\n```shell\npip install pycalibrate\n```\n\nYou can also use pycalibrate on Colab, by copying our [Example Colab Notebook](https://colab.research.google.com/drive/1EBWWy43btgBX-q_pucXtHBOTy-SKerXu?usp=sharing).\n\nYou can also pip install directly from the repository by running `pip install git+https://github.com/VIDA-NYU/pycalibrate`\n\n## Usage\nOne can pycalibrate in just a few lines of code:\n\n```python\nfrom pycalibrate import Calibrate\n\nc = Calibrate(data=dataset) # `dataset` must be a Pandas dataframe\n\nc.add_model(y_preds, y_labels, \"ModelName\") \n# y_preds is an n x k matrix of predictions\n# y_labels is an n x k matrix of one-hot encoded labels\n\nc.visualize() # Voila! \n```\n\n## Calibrate Tool\n\n![System screen](https://github.com/VIDA-NYU/pycalibrate/blob/main/images/teaser.png?raw=true)\n\n## Need Help?\nNeed help? Open up an [issue](https://github.com/VIDA-NYU/pycalibrate/issues).","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvida-nyu%2Fpycalibrate","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvida-nyu%2Fpycalibrate","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvida-nyu%2Fpycalibrate/lists"}