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Releases: tidymodels/tidypredict

tidypredict 0.5.1

19 Dec 19:31
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  • Exported a number of internal functions to be used in {orbital} package

tidypredict 0.5

18 Jan 14:09
52b0f2d
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  • Changes maintainer to Edgar Ruiz
  • Updates author's email addresses
  • Removes dependency with stringr
  • Fixes issue with earth parsed_models (#108)
  • Addresses issues with XGBoost models
  • Improvements to XGBoosts tests

tidypredict 0.4.9

31 May 22:15
80d47aa
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  • Fixes issue handling GLM Binomial earth models (#97)

  • Adds capability to handle single simple Cubist models (#57)

  • Fixed parenthesis issue in the creation of the interval formula (#76)

  • Fixed bug in SQL query generation for XGBoost models with objective binary:logistic.

  • Re-licensed package from GPL-3 to MIT. See consent from copyright holders here.

tidypredict 0.4.8

28 Oct 20:03
ffc190f
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  • CRAN submission for a broken test case.

tidypredict 0.4.7

05 Oct 13:49
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  • Change to with with version 5.1.2 and above of the earth package. As a result, tidypredict will only parse objects created by this and later versions of earth.

tidypredict 0.4.6

23 Jul 22:37
d695574
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  • Small release for xgboost changes.

tidypredict 0.4.2

18 Jul 14:25
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  • Parses ranger classification models
  • Adds method support for broom’s tidy() function. Regression models only
  • Adds as_parsed_model() function. It adds the proper class components to the list.
  • Adds initial support for partykit’s ctree() model
  • Adds support for parsnip fitted models: lm, randomForest, ranger, and earth
  • Adds support for xgb.Booster models provided by the xgboost package (@Athospd, #43)
  • Adds support for Cubist::cubist() models (# 36)

tidypredict 0.3

10 Jan 13:27
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New features

  • Adds support for MARS models provided by the earth package

Improvements

  • New parsed models are now list objects as opposed to data frames.

  • tidypredict_to_column() no longer supports ranger and randomForest because of the multiple queries generated by multiple trees.

  • All functions that read the parsed models and create the tidy eval formula now use the list object.

  • Most of the code that depends on dplyr programming has been removed.

  • Removes dependencies on: tidyr, tibble

Bug Fixes

  • It now returns all of the trees instead of just one for tree based models (randomForest & ranger) (#29)

tidypredict 0.2.1

01 Jan 23:08
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  • Adds compatibility with the latest version of tibble

tidypredict 0.2.0

27 Feb 01:59
af27c10
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New features

  • Add support for ranger() models.

Bug fixes