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pr-commands.yaml
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BART models give different predictions pr-commands.yaml #1129: Issue comment #1247 (comment) created by balraadjsings
February 3, 2025 07:59 2s
February 3, 2025 07:59 2s
How to parse extension package arguments to parsnip? pr-commands.yaml #1128: Issue comment #1241 (comment) created by topepo
February 1, 2025 13:31 2s
February 1, 2025 13:31 2s
BART models give different predictions pr-commands.yaml #1127: Issue comment #1247 (comment) created by topepo
January 31, 2025 16:52 2s
January 31, 2025 16:52 2s
Support All keras activations functions pr-commands.yaml #1126: Issue comment #1244 (comment) created by EmilHvitfeldt
January 29, 2025 17:37 3s
January 29, 2025 17:37 3s
Option to use SELU for the activation layer in mlp via keras pr-commands.yaml #1125: Issue comment #1127 (comment) created by EmilHvitfeldt
January 29, 2025 17:27 2s
January 29, 2025 17:27 2s
bug fix for non-package models pr-commands.yaml #1124: Issue comment #1230 (comment) created by topepo
January 29, 2025 17:15 3s
January 29, 2025 17:15 3s
Switch to hardhat's version of contr_one_hot() pr-commands.yaml #1123: Issue comment #1239 (comment) created by topepo
January 29, 2025 16:38 3s
January 29, 2025 16:38 3s
add tanh to allowed act_funs pr-commands.yaml #1122: Issue comment #1240 (comment) created by topepo
January 29, 2025 13:07 4s
January 29, 2025 13:07 4s
Protection Stack Overflow for high dimensional data frames pr-commands.yaml #1121: Issue comment #1233 (comment) created by EmilHvitfeldt
January 28, 2025 21:50 3s
January 28, 2025 21:50 3s
Switch to hardhat's version of contr_one_hot() pr-commands.yaml #1120: Issue comment #1239 (comment) created by hfrick
January 28, 2025 18:02 3s
January 28, 2025 18:02 3s
Error when using the predict function pr-commands.yaml #1119: Issue comment #1223 (comment) created by topepo
January 28, 2025 12:38 3s
January 28, 2025 12:38 3s
Protection Stack Overflow for high dimensional data frames pr-commands.yaml #1118: Issue comment #1233 (comment) created by topepo
January 28, 2025 12:22 3s
January 28, 2025 12:22 3s
no applicable method for 'extract_fit_time' applied to an object of class "c('_lm', 'model_fit') pr-commands.yaml #1117: Issue comment #1234 (comment) created by chillerb
January 28, 2025 12:21 3s
January 28, 2025 12:21 3s
no applicable method for 'extract_fit_time' applied to an object of class "c('_lm', 'model_fit') pr-commands.yaml #1116: Issue comment #1234 (comment) created by topepo
January 28, 2025 12:17 3s
January 28, 2025 12:17 3s
Error with gpu-enabled xgboost pr-commands.yaml #1115: Issue comment #1235 (comment) created by EmilHvitfeldt
January 27, 2025 21:24 3s
January 27, 2025 21:24 3s
Error with gpu-enabled xgboost pr-commands.yaml #1114: Issue comment #1235 (comment) created by mitchellmanware
January 27, 2025 19:04 3s
January 27, 2025 19:04 3s
Error with gpu-enabled xgboost pr-commands.yaml #1113: Issue comment #1235 (comment) created by EmilHvitfeldt
January 27, 2025 18:46 5s
January 27, 2025 18:46 5s
Model creation fails with updated XGBoost (≥ v2.1) pr-commands.yaml #1112: Issue comment #1227 (comment) created by simonpcouch
January 21, 2025 19:45 3s
January 21, 2025 19:45 3s
Error in call2 when using local fit function and omitting pkg pr-commands.yaml #1111: Issue comment #1229 (comment) created by chillerb
January 16, 2025 11:43 3s
January 16, 2025 11:43 3s
Model creation fails with updated XGBoost (≥ v2.1) pr-commands.yaml #1110: Issue comment #1227 (comment) created by EmilHvitfeldt
January 9, 2025 20:52 3s
January 9, 2025 20:52 3s
Model creation fails with updated XGBoost (≥ v2.1) pr-commands.yaml #1109: Issue comment #1227 (comment) created by simonpcouch
January 9, 2025 17:02 3s
January 9, 2025 17:02 3s
Model creation fails with updated XGBoost (≥ v2.1) pr-commands.yaml #1108: Issue comment #1227 (comment) created by therealjpetereit
January 8, 2025 03:19 2s
January 8, 2025 03:19 2s
Model creation fails with updated XGBoost (≥ v2.1) pr-commands.yaml #1107: Issue comment #1227 (comment) created by EmilHvitfeldt
January 8, 2025 02:58 3s
January 8, 2025 02:58 3s
Allow mtry to accept a proportion of features, maybe via an mtry_prop parameter? pr-commands.yaml #1106: Issue comment #602 (comment) created by mirkoruks
November 26, 2024 16:01 3s
November 26, 2024 16:01 3s
fix likely typo 'linear_reg' in 'logistic_reg' documentation pr-commands.yaml #1105: Issue comment #1218 (comment) created by simonpcouch
November 7, 2024 20:22 2s
November 7, 2024 20:22 2s