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Visual analysis and diagnostic tools to facilitate machine learning model selection.

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**Describe the issue** We should update our dependencies for Pandas and Scipy to the latest minor releases versions (1.4 and 1.8, respectively) @DistrictDataLabs/team-oz-maintainers

type: technical debt

**Is your feature request related to a problem? Please describe.** I was trying to combine the `KElbowVisualizer` with `VisualPipeline` but was stuck getting the unexpected error below: > AttributeError: 'KMeans'...

type: technical debt

**Describe the solution you'd like** Easy method to get a plot of test , predicted probability x - 0 to 1 probability values y - number of finding red -...

type: feature

**Describe the bug** In the PRCurve Visualizer, the multi-class classifier models get wrapped up in a `OneVsRestClassifier` but this classifier gets ignored in the call to `super` and does not...

type: bug
priority: medium

**Describe the solution you'd like** I would like to create an at-a-glance representation of multiple model scores so that I can easily compare and contrast different model instances. This will...

type: feature

When performing classification one often wants to predict not only the class label but also the associated probability to give a level of confidence in the prediction. The `sklearn.metrics.calibration_curve` method...

type: feature
level: novice

At the moment Silhouette Visualizer can handle KMeans and MiniBatchKMeans. But as far as I know, the construction of silhouette plot isn't tied to centroid clustering in any way, but...

type: feature

According to the conda-forge docs, the conda recipe should probably depend on the matplotlib-base package, rather than matplotlib: https://conda-forge.org/docs/maintainer/knowledge_base.html#matplotlib Is this right? Does yellowbrick require pyqt as well or just...

type: technical debt

As mentioned in the issue #1091, it would be nice to have a KS-Statistic plot visualizer within yellowbrick library. **Example:** ```python from sklearn.datasets import load_breast_cancer from sklearn.model_selection import train_test_split from...

type: feature

**Describe the solution you'd like** Adapt or extend the `FreqDist` visualizer to show not just the frequency of tokens in the corpus but rank them according to their relationship to...

type: feature
level: expert