tidymodels / parsnip
Files Coverage
R/aaa.R 0.00%
R/aaa_models.R 72.71%
R/aaa_multi_predict.R 70.00%
R/aaa_spark_helpers.R 0.00%
R/add_in.R 0.00%
R/adds.R 100.00%
R/arguments.R 89.90%
R/augment.R 100.00%
R/boost_tree.R 89.93%
R/contr_one_hot.R 52.94%
R/control_parsnip.R 36.36%
R/convert_data.R 93.26%
R/decision_tree.R 60.23%
R/descriptors.R 56.52%
R/engines.R 89.80%
R/extract.R 100.00%
R/fit.R 80.46%
R/fit_helpers.R 96.36%
R/gen_additive_mod.R 32.56%
R/linear_reg.R 46.23%
R/logistic_reg.R 39.75%
R/mars.R 76.19%
R/misc.R 45.96%
R/mlp.R 84.24%
R/multinom_reg.R 33.93%
R/nearest_neighbor.R 85.37%
R/nullmodel.R 61.02%
R/predict.R 64.54%
R/predict_class.R 68.18%
R/predict_classprob.R 75.00%
R/predict_hazard.R 0.00%
R/predict_interval.R 82.35%
R/predict_linear_pred.R 0.00%
R/predict_numeric.R 77.27%
R/predict_quantile.R 80.00%
R/predict_raw.R 0.00%
R/predict_survival.R 0.00%
R/predict_time.R 0.00%
R/proportional_hazards.R 87.50%
R/rand_forest.R 81.71%
R/rand_forest_data.R 82.98%
R/repair_call.R 0.00%
R/req_pkgs.R 88.24%
R/surv_reg.R 47.30%
R/survival_reg.R 73.68%
R/svm_linear.R 87.67%
R/svm_poly.R 86.57%
R/svm_rbf.R 81.82%
R/tidy.R 50.00%
R/tidy_glmnet.R 0.00%
R/tidy_liblinear.R 100.00%
R/translate.R 91.67%
R/type_sum.R 0.00%
R/varying.R 55.22%
Project Totals (54 files) 68.40%
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