|
20 | 20 | "boost_tree" "classification" "lightgbm" "bonsai" |
21 | 21 | "boost_tree" "classification" "spark" NA |
22 | 22 | "boost_tree" "classification" "xgboost" NA |
| 23 | +"boost_tree" "quantile regression" "xgboost" NA |
23 | 24 | "boost_tree" "regression" "catboost" "bonsai" |
24 | 25 | "boost_tree" "regression" "h2o" "agua" |
25 | 26 | "boost_tree" "regression" "h2o_gbm" "agua" |
|
32 | 33 | "decision_tree" "classification" "C5.0" NA |
33 | 34 | "decision_tree" "classification" "partykit" "bonsai" |
34 | 35 | "decision_tree" "classification" "rpart" NA |
| 36 | +"decision_tree" "classification" "rpartScore" "ordered" |
35 | 37 | "decision_tree" "classification" "spark" NA |
36 | 38 | "decision_tree" "regression" "partykit" "bonsai" |
37 | 39 | "decision_tree" "regression" "rpart" NA |
|
45 | 47 | "discrim_quad" "classification" "sparsediscrim" "discrim" |
46 | 48 | "discrim_regularized" "classification" "klaR" "discrim" |
47 | 49 | "gen_additive_mod" "classification" "mgcv" NA |
| 50 | +"gen_additive_mod" "classification" "vgam" "ordered" |
48 | 51 | "gen_additive_mod" "regression" "mgcv" NA |
49 | 52 | "linear_reg" "quantile regression" "quantreg" NA |
50 | 53 | "linear_reg" "regression" "brulee" NA |
|
79 | 82 | "mlp" "classification" "h2o" "agua" |
80 | 83 | "mlp" "classification" "keras" NA |
81 | 84 | "mlp" "classification" "nnet" NA |
| 85 | +"mlp" "quantile regression" "qrnn" NA |
82 | 86 | "mlp" "regression" "brulee" NA |
83 | 87 | "mlp" "regression" "brulee_two_layer" NA |
84 | 88 | "mlp" "regression" "h2o" "agua" |
|
97 | 101 | "nearest_neighbor" "regression" "kknn" NA |
98 | 102 | "null_model" "classification" "parsnip" NA |
99 | 103 | "null_model" "regression" "parsnip" NA |
| 104 | +"ordinal_reg" "classification" "ordinalNet" "ordered" |
| 105 | +"ordinal_reg" "classification" "polr" "ordered" |
| 106 | +"ordinal_reg" "classification" "vglm" "ordered" |
100 | 107 | "pls" "classification" "mixOmics" "plsmod" |
101 | 108 | "pls" "regression" "mixOmics" "plsmod" |
102 | 109 | "poisson_reg" "regression" "gee" "multilevelmod" |
|
113 | 120 | "rand_forest" "censored regression" "aorsf" "censored" |
114 | 121 | "rand_forest" "censored regression" "partykit" "censored" |
115 | 122 | "rand_forest" "classification" "aorsf" "bonsai" |
| 123 | +"rand_forest" "classification" "grf" NA |
116 | 124 | "rand_forest" "classification" "h2o" "agua" |
| 125 | +"rand_forest" "classification" "ordinalForest" "ordered" |
117 | 126 | "rand_forest" "classification" "partykit" "bonsai" |
118 | 127 | "rand_forest" "classification" "randomForest" NA |
119 | 128 | "rand_forest" "classification" "ranger" NA |
120 | 129 | "rand_forest" "classification" "spark" NA |
| 130 | +"rand_forest" "quantile regression" "grf" NA |
121 | 131 | "rand_forest" "regression" "aorsf" "bonsai" |
| 132 | +"rand_forest" "regression" "grf" NA |
122 | 133 | "rand_forest" "regression" "h2o" "agua" |
123 | 134 | "rand_forest" "regression" "partykit" "bonsai" |
124 | 135 | "rand_forest" "regression" "randomForest" NA |
|
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