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

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Note: The idea is inspired from a lecture of andreas muller. **Describe the solution you'd like** The idea is to have a visual look on how closely a particular imputer...

type: feature

There are a few things that can be updated in the `PrecisionRecallCurve` visualizer: - [x] allow the user to specify colors as a list of colors or a colormap and...

priority: low
type: technical debt
level: novice

The following tasks from #91 are left over to finalize the implementation of the `KElbowVisualizer ` and improve it. *Note to contributors: items in the below checklist don't need to...

type: feature
priority: low
level: novice
type: documentation

**Describe the solution you'd like** Would love to have an Effect Plot for aiding with interpreting linear models. I realize that a feature importance plot does some of this. An...

type: feature
level: novice

For random forest hyperparameter tuning. See [Finding Similar Days for Air Traffic Management](https://cloudfront.escholarship.org/dist/prd/content/qt0dn6d6h9/qt0dn6d6h9.pdf) for examples. Create a parameter to set the y-axis to either concordance index or brier score: http://scikit-learn.org/stable/modules/generated/sklearn.metrics.brier_score_loss.html...

type: feature

Without too much work, it appears that we can create an animated image that captures changes to a dataset over time or some series related domain. We could accomplish this...

type: feature
priority: low
level: expert
type: contrib

**Describe the solution you'd like** Our model visualizers expect to wrap classifiers, regressors, or clusters in order to visualize the model under the hood; they even do checks to ensure...

type: feature
priority: medium
level: intermediate

Now that #864 has been merged in, we have an argument, `windows_tol`, for `assert_images_similar`, which will allow us to keep our tests robust for our most common operating systems and...

priority: medium
type: technical debt

**UPDATE**: After some investigation, we've discovered that Seaborn has rolled back their automatic style changes on import, and we should probably do the same. To fix this issue the following...

type: bug
priority: medium
type: technical debt

I noticed that the examples.ipynb was out-of-date. Here are the things that need to be changed/updated. - [ ] Include new visualizers - Class Prediction Error - CVScores - Manifold...

type: technical debt
level: novice