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JakeColtman

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Commits on Feb 6, 2020

• Merge pull request #42 from JakeColtman/ReadOneTrees

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Commits on Feb 5, 2020

• Improve the example notebooks and make them use up to date API

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Commits on Feb 3, 2020

• Push logic for mask creation into Data and not clients

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• Update tests to use new syntax

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• More performance improvements

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• Significant performance improvements

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Commits on Jun 12, 2019

• Ensure ordering of feature names

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• Add a performance monitor for feature selection

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• Add scorer examples to monitor performance of the engine overall

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• Fix breakages to extensions

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• Support passing sampling method into sklearn model

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• Point tests to updated location

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• Doc string and whitespacing

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• Break initializers out into their own section to keep code clean

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• Merge master

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Commits on Jun 9, 2019

• Merge pull request #41 from meh2135/add-meh2135

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Commits on Apr 21, 2019

• Merge pull request #39 from trivialfis/fix/setup

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Commits on Apr 20, 2019

• Add tests for mapping sklearn tree to bartpy tree

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• Use sklearn's GBT algo to provide a starting point to sample to speed up convergence

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• Merge pull request #38 from JakeColtman/ReadOneTrees

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Commits on Apr 19, 2019

• Instantiate the trace logger inside samples to allow the models to be pickled for parallel execution

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• Update tests to work with new structure

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Commits on Apr 17, 2019

• A shameful large splodge of refactoring to make the runs faster and lighter

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Commits on Apr 14, 2019

• Refactor s.t there's room to use different tree constraints

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Commits on Oct 31, 2018

• Implement a trace logger to provide a structure way to record the trace

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• Fix from_extract method

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• Create a Chain type alias

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• Plot diagnostics onto correct ax object

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• Return ax from plots

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• Implement feature importance using run_models method

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• Add a runner utility to handle running multiple models at once.

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Commits on Oct 30, 2018

• Optimize imports

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• Update OLS API to updated Sklearn API

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• Fix code style violations

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• Update API of diagnostics method call

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