Sklearn-evaluation

- [Fix] Adds input validation with suggestions to `plot.grid_search` ([53](https://github.com/ploomber/sklearn-evaluation/issues/53))
- [Fix] Fixes an error that prevented `ClassificationReport.from_raw_data` from displaying the plot
- [Doc] Object oriented API guide includes appropriate methods under each model ([271](https://github.com/ploomber/sklearn-evaluation/issues/271))
- [Doc] Quickstart clustering guide now uses `plot.pca` ([276](https://github.com/ploomber/sklearn-evaluation/issues/276))
- [Doc] User Guide on micro and macro averaging

- [Feature] Improves composed ROC plots so that different curves are more easily identifiable
- [Feature] Adds `plot.CalibrationCurve` object-oriented API
- [Doc] User Guide on Probability Calibration
- [Doc] User Guide on real-time tracking

- [API Change] `ax` parameter removed from ROC constructor ([255](https://github.com/ploomber/sklearn-evaluation/issues/255))
- [API Change] Applies deprecation to `plot.ClassificationReport`
- [Feature] Adds `plot.PrecisionRecall` object-oriented API [189]
- [Feature] Adds `plot.pca`
- [Doc] User guide on PCA

- [API Change] A new figure and axes is created (via `plt.subplots()`) when calling a plotting method with `ax=None`. Previously, the current axes was used (via `plt.gca()`) ([211](https://github.com/ploomber/sklearn-evaluation/pull/211))
- [API Change] `silhouette_analysis_from_results` function now accepts a list of cluster labels [213](https://github.com/ploomber/sklearn-evaluation/pull/213)
- [API Change] Removed `n_clusters` from `elbow_curve` ([247](https://github.com/ploomber/sklearn-evaluation/issues/247))
- [Feature] Adds `RandomForestClassifierGrid`
- [Fix] Validates `plot.ROC` inputs ([98](https://github.com/ploomber/sklearn-evaluation/issues/98))
- [Fix] Uses existing labels in multi ROC curve ([225](https://github.com/ploomber/sklearn-evaluation/issues/225))
- [Fix] Validating input elbow curve model has "score" method [146]
- [Fix] Adds class labels for multi class roc plot ([209](https://github.com/ploomber/sklearn-evaluation/issues/209))
- [Fix] Fixed ROC curves plots to show properly.
- [Fix] `setup.py` fix due to change in setuptools 67.0.0

- [API Change] Applies deprecation to ROC constructor ([135](https://github.com/ploomber/sklearn-evaluation/issues/135))
- [API Change] Applies deprecation to ConfusionMatrix constructor
- [API Change] Deprecates `n_clusters` in `plot.elbow_curve` in favor of `range_n_clusters` ([148](https://github.com/ploomber/sklearn-evaluation/issues/148))
- [Fix] Adds labels to `plot.elbow_curve` ([152](https://github.com/ploomber/sklearn-evaluation/issues/152))
- [Fix] Showing community link when throwing exceptions

- Adds support for `pandas.Series` to prediction error plot ([154](https://github.com/ploomber/sklearn-evaluation/issues/154))
- Fixes error to prediction plot due to hardcoded axis ([155](https://github.com/ploomber/sklearn-evaluation/issues/155))
- Deprecates `model` argument in prediction plot