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parsnip 1.4.0

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@topepo topepo released this 01 Dec 18:15
v1.4.0
0289b94
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Learn about vigilant mode.

  • Fixes issue with running predictions for Decision Trees in Spark (#1309)

  • Updates to some boosting tuning parameter information: (#1306)

    • lightgbm and catboost have smaller default ranges for the learning rate: -3 to -1 / 2 in log10 units.
    • lightgbm, xgboost, catboost, and C5.0 have smaller default ranges for the sampling proportion: 0.5 to 1.0.
    • catboost engine arguments were added for max_leaves and l2_leaf_reg.

  • Enable generalized random forest (grf) models for classification, regression, and quantile regression modes. (#1288)

  • surv_reg() is now defunct and will error if called. Please use survival_reg() instead (#1206).

  • Enable parsnip to work with xgboost version > 2.0.0.0. (#1227)

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