API for mlexperiments
Machine Learning Experiments

Global functions
.bayesian_optimize Source code
.bayesopt_postprocessing Source code
.compute_performance Source code
.config_bayesian_optimizer Source code
.config_grid_optimizer Source code
.cv_fit_model Source code
.cv_postprocessing Source code
.cv_run_nested_model Source code
.eval_params Source code
.fold_looper Source code
.get_best_setting Source code
.grid_optimize Source code
.method_params_refactor Source code
.metric_from_char Source code
.onLoad Source code
.optimize_postprocessing Source code
.organize_parameter_grid Source code
.run_cv Source code
.run_optimizer Source code
.run_tuning Source code
.tune_init Source code
LearnerGlm Man page
LearnerKnn Man page
LearnerLm Man page
LearnerRpart Man page
MLBase Man page
MLCrossValidation Man page
MLExperimentsBase Man page
MLLearnerBase Man page
MLNestedCV Man page
MLTuneParameters Man page
glm_fit Source code
glm_predict Source code
handle_cat_vars Man page Source code
knn_bsF Source code
knn_ce Source code
knn_fit Source code
knn_optimization Source code
knn_predict Source code
lm_fit Source code
lm_predict Source code
metric Man page Source code
metric_types_helper Man page Source code
performance Man page Source code
predictions Man page Source code
rpart_bsF Source code
rpart_ce Source code
rpart_cv Source code
rpart_fit Source code
rpart_fit_fun Source code
rpart_optimization Source code
rpart_predict Source code
rpart_predict_base Source code
validate_fold_equality Man page Source code
mlexperiments documentation built on April 12, 2025, 1:40 a.m.