Slickml

🛠 Fixed
- [59](https://github.com/slickml/slick-ml/pull/59) updated docstrings
- [57](https://github.com/slickml/slick-ml/pull/57) updated `requirements.txt`
- [56](https://github.com/slickml/slick-ml/pull/56) fixed bugs in plotting
- [54](https://github.com/slickml/slick-ml/pull/54) fixed bug in XGBoostClassifer. dtest has `y_test` as required parameter while it should be optional, since you wont have the `y_true` in production.

🔥 Added
- [57](https://github.com/slickml/slick-ml/pull/57) added GLMNetCVClassifier class, plotting, and examples, `CODE_OF_CONDUCT.md`
- [44](https://github.com/slickml/slick-ml/pull/44) added XGBoostClassifierHyperOpt

---

🛠 Fixed
- [52](https://github.com/slickml/slick-ml/pull/52) updated xgboost version to 1.0.0 to remove the conflict with shap version
- [47](https://github.com/slickml/slick-ml/pull/47) fixed bugs in HyperOpt `__init__`

🔥 Added
- [52](https://github.com/slickml/slick-ml/pull/52) added SHAP waterfall plot
- [51](https://github.com/slickml/slick-ml/pull/51) added regression metrics
- [49](https://github.com/slickml/slick-ml/pull/49) added Google Colab links to notebooks
- [44](https://github.com/slickml/slick-ml/pull/44) added XGBoostClassifierHyperOpt

---

🛠 Fixed
- [41](https://github.com/slickml/slick-ml/pull/41) updated requirements for bayesian optimization, design pattern, classification examples
- [38](https://github.com/slickml/slick-ml/pull/38) fixed typos in README and bug in `df_to_csr` function
- [34](https://github.com/slickml/slick-ml/pull/34) fixed formatting and import bugs in source code
- [28](https://github.com/slickml/slick-ml/pull/28) updated feature selection method from run to fit and removed X, y from init and added to fit to be similar to sklearn API.
- [17](https://github.com/slickml/slick-ml/pull/17) updated plotting to Matplotlib object oriented API

🔥 Added
- [43](https://github.com/slickml/slick-ml/pull/43) added BayesianOpt class
- [38](https://github.com/slickml/slick-ml/pull/38) added unit tests for classification
- [37](https://github.com/slickml/slick-ml/pull/37) added SHAP summary plots
- [24](https://github.com/slickml/slick-ml/pull/24) added XGBoostCVClassifier
- [23](https://github.com/slickml/slick-ml/pull/23) added examples for feature selection
- [20](https://github.com/slickml/slick-ml/pull/20) added `formatting.py`
- [15](https://github.com/slickml/slick-ml/pull/15) added `feature_selection.py` and `tests/`
- [12](https://github.com/slickml/slick-ml/pull/12) added PEP8
- [9](https://github.com/slickml/slick-ml/pull/9) added plots for metrics and `utilities.py`
- [6](https://github.com/slickml/slick-ml/pull/6) added logo design
- [4](https://github.com/slickml/slick-ml/pull/4) added `metrics.py`

---

🔥 Added
- [2](https://github.com/slickml/slick-ml/pull/2) initial ideas