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Releases: parrt/random-forest-importances

Improve compatibility with 0.24 scikit-learn

28 Jan 23:23
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1.3.6 Add title to plots, improve sklearn compatibility, add support for different correlation methods

25 Nov 22:11
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small bug fix for 0.22 sklearn

11 May 21:51
5f7f362
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Merge pull request #35 from parrt/improve-oob-sklearn-compatibility

Improve #32 that fixed #27

Improve bar charts for feature importances, add feature dependence heatmap

22 Oct 18:15
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  • Added plot_dependence_heatmap() to plot feature dependence heat maps
  • Improve feature importance plots so that the bars are always the same. You can specify a title and there is better scaling support.
  • The plotting routines return PimpViz objects that by default render the current matplotlib image via SVG, getting a much sharper image than the default PNG.
  • dropcol importance was relying on OOB scores instead of the more general model scoring/metric.
  • Added a stemplot version that mimics the bar chart for feature importance.
  • Added precision argument to the correlation heat map function.
  • Rebuilt the notebook examples and the ones that generate images for the paper.
  • Added a section to the paper that shows the feature dependence heat map applied to the breast-cancer data set.

Improve bar charts for feature importances

15 Oct 19:17
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1.2.2

improve importance plots so bars are typically same width across plot…