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Commits on Nov 15, 2022

• Minor fix to randomForestPredict()

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• randomForestPredict() is now flexible in the number of workers

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Commits on Nov 14, 2022

• Updated parallel in randomForestPredict()

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• Now requires parallelly

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• Cleanup parallel options

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Commits on Oct 27, 2022

• Minor bugfixing and cleanup

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• Updated parallel predict

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• Minor bugfix

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• Added parallel prediction

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Commits on Sep 29, 2022

• Bugfix

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• randomForestTrain() can now ignore columns of y during the training stage.

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• trees now return a resample index.

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Commits on Jul 6, 2022

• Fixed a bug in pruneFromSample() for mse (anov`a)

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• Merge branch 'master' of https://github.com/MNLR/RandomForestDist

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• Added OOB prunning for anova split function

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• Added OOB prunning for anova split function

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Commits on Jul 5, 2022

• Updated predictLeaves() for single variable responses`

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Commits on Jul 4, 2022

• randomForestPredict() can now return the predictors (argument "also.return.x") when method = "leaves".

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Commits on Jun 21, 2022

• Added support for MSEbinaryEntropyGammaDeviance and MSEGammaDeviance.

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Commits on May 9, 2022

• Merge branch 'master' of https://github.com/MNLR/RandomForestDist

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• Added "binaryMargEntropyCond" split.function. It only considers the marginal entropy of the child in a Conditional Random Forest.

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Commits on Mar 21, 2022

• Minor update Worked Example to reflect manuscript published

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• Updated Readme, article published in Water Resources Research

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Commits on Feb 10, 2022

• Upated .gitattributes

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• Updated readme

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• Updated Worked Example

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• randomForestTrain() now uses mse as default split function

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• Added library dependency

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• Added VALUE86.rda

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• Added complete compressed datasets

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Commits on Feb 8, 2022

• Updated Readme

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• Added several features to deal with multivariable bernoulli data.

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Commits on Apr 19, 2021

• Updated .Rbuildignore

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• Updated name in NAMESPACE

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• Updated name in DESCRIPTION

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