- Fixes to `plot.elbow_curve`: no longer hardcoding figure size, random seed for model, also showing `n_clusters` in title - Fixes error when passing array to `table.feature_importances` ([144](https://github.com/ploomber/sklearn-evaluation/issues/144)) - Adds clustering quick start
0.8.4
- New `plot.ROC` api added - Adds `plot.ROC.__add__` for generating overlapping curves - `plot.ROC` can be serialized/unserialized with `.dump`/ `.from_dump` - Adds feature ranking plots - Adds `plot.ks_statistic` - Adds `plot.cumulative_gain` - Adds `plot.lift_curve` - Adds `plot.cooks_distance`
0.8.3
- Adds `plot.silhoutte_analysis` - Adds clustering user guide - Adds `plot.target_analysis` - Adds bulk insert to `SQliteTracker` via `.insert_many` - `SQliteTracker.{get_parameters_keys, get_sample_query}` support extracting keys from nested JSON objects
0.8.2
- `plot.ConfusionMatrix` and `plot.ClassifictionReport` can be serialized/unserialized with `.dump`/ `.from_dump` - Adds `Experiment` class to easily create new experiments from `SQLiteTracker` using `.new_experiment()` - Adds `Experiment.log_classification_report` - Adds `Experiment.log_confusion_matrix` - Adds `Experiment.log_figure` - Adds `Experiment.log` - Adds `Experiment.log_dict` - Adds `SQLiteTracker.get` - Adds docstring examples to `SQLiteTracker` and `Experiment` - Updates `SQliteTracker` tutorial - Fixes error when querying experiments using `SQliteTracker` whose UUID was all numbers (e.g., `"1234"`)
0.8.1
- Adds `plot.residuals` and `plot.prediction_error` for evaluating regression models
0.8
- `SQliteTracker.get_sample_query` generates a query compatible with older SQLite versions that do not support the `->` operator - `SQliteTracker` creates shorter experiment IDs - Fixes whitespace in generated HTML when generating tab views and in `SQLTracker` results when `as_frame=False`