{
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        "description": "<div align=\"center\">\n    <img src=\"https://raw.githubusercontent.com/amphibian-dev/toad/master/images/toad_logo.png\" width=\"350px\" />\n</div>\n\n# TOAD\n\n\n[![PyPi version][pypi-image]][pypi-url]\n[![Python version][python-image]][docs-url]\n[![Build Status][actions-image]][actions-url]\n[![Downloads Status][downloads-image]][docs-url]\n\n\nToad is dedicated to facilitating model development process, especially for a scorecard. It provides intuitive functions of the entire process, from EDA, feature engineering and selection etc. to results validation and scorecard transformation. Its key functionality streamlines the most critical and time-consuming process such as feature selection and fine binning.\n\nToad \u662f\u4e13\u4e3a\u5de5\u4e1a\u754c\u6a21\u578b\u5f00\u53d1\u8bbe\u8ba1\u7684Python\u5de5\u5177\u5305\uff0c\u7279\u522b\u9488\u5bf9\u8bc4\u5206\u5361\u7684\u5f00\u53d1\u3002Toad \u7684\u529f\u80fd\u8986\u76d6\u4e86\u5efa\u6a21\u5168\u6d41\u7a0b\uff0c\u4ece EDA\u3001\u7279\u5f81\u5de5\u7a0b\u3001\u7279\u5f81\u7b5b\u9009 \u5230 \u6a21\u578b\u9a8c\u8bc1\u548c\u8bc4\u5206\u5361\u8f6c\u5316\u3002Toad \u7684\u4e3b\u8981\u529f\u80fd\u6781\u5927\u7b80\u5316\u4e86\u5efa\u6a21\u4e2d\u6700\u91cd\u8981\u6700\u8d39\u65f6\u7684\u6d41\u7a0b\uff0c\u5373\u7279\u5f81\u7b5b\u9009\u548c\u5206\u7bb1\u3002\n\n## Install and Upgrade \u00b7 \u5b89\u88c5\u4e0e\u5347\u7ea7\n\nPip\n\n```bash\npip install toad # to install\npip install -U toad # to upgrade\n```\n\nConda\n\n```bash\nconda install toad --channel conda-forge # to install\nconda install -U toad --channel conda-forge # to upgrade\n```\n\nSource code\n\n```bash\npython setup.py install\n```\n\n## Key features \u00b7 \u4e3b\u8981\u529f\u80fd\n\nThe following showcases some of the most popular features of toad, for more detailed demonstrations and user guidance, please refer to the tutorials.\n\n\u4ee5\u4e0b\u90e8\u5206\u7b80\u5355\u4ecb\u7ecd\u4e86toad\u6700\u53d7\u6b22\u8fce\u7684\u4e00\u4e9b\u529f\u80fd\uff0c\u5177\u4f53\u7684\u4f7f\u7528\u65b9\u6cd5\u548c\u4f7f\u7528\u6559\u7a0b\uff0c\u8bf7\u8be6\u89c1\u6587\u6863\u90e8\u5206\u3002\n\n- Simple IV calculation for all features \u00b7 \u4e00\u952e\u7b97IV:\n\n```python\ntoad.quality(data,'target',iv_only=True)\n```\n\n- Preliminary selection based on criteria \u00b7 \u6839\u636e\u7279\u5b9a\u6761\u4ef6\u7684\u521d\u6b65\u53d8\u91cf\u7b5b\u9009; \n- and stepwise feature selection (with optimised algorithm) \u00b7 \u4f18\u5316\u8fc7\u7684\u9010\u6b65\u56de\u5f52:\n\n```python\nselected_data = toad.selection.select(data,target = 'target', empty = 0.5, iv = 0.02, corr = 0.7, return_drop=True, exclude=['ID','month'])\n\nfinal_data = toad.selection.stepwise(data_woe,target = 'target', estimator='ols', direction = 'both', criterion = 'aic', exclude = to_drop)\n```\n\n- Reliable fine binning with visualisation \u00b7 \u5206\u7bb1\u53ca\u53ef\u89c6\u5316:\n\n```python\n# Chi-squared fine binning\nc = toad.transform.Combiner()\nc.fit(data_selected.drop(to_drop, axis=1), y = 'target', method = 'chi', min_samples = 0.05) \nprint(c.export())\n\n# Visualisation to check binning results \ncol = 'feature_name'\nbin_plot(c.transform(data_selected[[col,'target']], labels=True), x=col, target='target')\n```\n\n- Intuitive model results presentation \u00b7 \u6a21\u578b\u7ed3\u679c\u5c55\u793a:\n\n```python\ntoad.metrics.KS_bucket(pred_proba, final_data['target'], bucket=10, method = 'quantile')\n```\n\n- One-click scorecard transformation \u00b7 \u8bc4\u5206\u5361\u8f6c\u5316:\n\n```python\ncard = toad.ScoreCard(\n    combiner = c,\n    transer = transer,\n    class_weight = 'balanced',\n    C=0.1,\n    base_score = 600,\n    base_odds = 35 ,\n    pdo = 60,\n    rate = 2\n)\n\ncard.fit(final_data[col], final_data['target'])\nprint(card.export())\n```\n\n## Documents \u00b7 \u6587\u6863\n\n- [Tutorial](https://toad.readthedocs.io/en/latest/tutorial.html)\n\n- [\u4e2d\u6587\u6307\u5f15](https://toad.readthedocs.io/en/latest/tutorial_chinese.html)\n\n- [docs][docs-url]\n\n## Community \u00b7 \u793e\u533a\nWe welcome public feedback and new PRs. We hold a WeChat group for questions and suggestions. \n\n\u6b22\u8fce\u5404\u4f4d\u63d0PR\uff0c\u540c\u65f6\u6211\u4eec\u6709toad\u4f7f\u7528\u4ea4\u6d41\u7684\u5fae\u4fe1\u7fa4\uff0c\u6b22\u8fce\u8be2\u95ee\u52a0\u7fa4\u3002\n\n------------\n\n## Dedicated by **The ESC Team** \n\n[pypi-image]: https://img.shields.io/pypi/v/toad.svg?style=flat-square\n[pypi-url]: https://pypi.org/project/toad/\n[python-image]: https://img.shields.io/pypi/pyversions/toad.svg?style=flat-square\n[actions-image]: https://img.shields.io/github/workflow/status/amphibian-dev/toad/Release?style=flat-square\n[actions-url]: https://github.com/amphibian-dev/toad/actions\n[downloads-image]: https://img.shields.io/pypi/dm/toad?style=flat-square\n[docs-url]: https://toad.readthedocs.io/\n\n\n",
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