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DistrictDataLabs
Visual analysis and diagnostic tools to facilitate machine learning model selection.
When you use tree-based models, a common approach is to investigate the feature importance induced by the splits of the trees. * Example: http://scikit-learn.org/stable/auto_examples/ensemble/plot_forest_importances.html * Make a barplot to show...
Rank 1D
Rank 1D is an analysis of a single feature; usually by inspecting a histogram. Rankings of features are conducted though a metric that takes a single feature and returns a...
The Rank2D visualizer is a feature analysis visualizer that ranks pairwise joint plots of feature columns together (similar to a SPLOM) using a metric in the space [-1, 1] or...
Implement an error surface/topology plot for [MultiModelMixin](https://github.com/DistrictDataLabs/yellowbrick/blob/master/yellowbrick/base.py#L251) Visualizer to enable users to visualize how the optimization is working.
The `Dataset.to_numpy` and `Dataset.to_pandas` methods both return `X` and `y` data for use in machine learning. Currently, all of our datasets are supervised (e.g. they have `y` data; however if...
Both `RadViz` and `ParallelCoordinates` would benefit from increased whitespace/increased transparency that is achieved simply by recording the columns around the circle in `RadViz` and along the horizontal in `ParallelCoordinates`. Potentially...
As a follow-on to #106, refine the preliminary implementation of the `FreqDistVisualizer` as follows: Things that we should do or consider doing in a future implementation: - per-class distribution plots,...
**Describe the issue** A clear and concise description of what the issue is. Since adding 'support' feature, there is a fairly big jump in tolerance required for classification reports to...
In keeping with Scikit-Learn, let's change arguments called `features` to `labels`. Need to consider backward compatibility. This is mostly in the feature visualizers. **EDIT**: More clarifications after a very thorough...
Is there a way to effectively visualize word collocations from a corpus? In other words, a way to visually depict prominent or interesting n-grams? NLTK exposes [several methods](http://www.nltk.org/howto/collocations.html) for identifying...
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Visual analysis and diagnostic tools to facilitate machine learning model selection.