Here is a list of all namespace members with links to the namespace documentation for each member:

- b -

• bad : ml_lib::random_forest
• binary_greater_than() : ml_lib::random_forest
• binary_less_than() : ml_lib::random_forest
• bootstrap_samples() : ml_lib::dataset

- c -

• create_binary_tests() : ml_lib::random_forest

- d -

• data : ml_lib::random_forest
• dataset : ml_lib::random_forest
• dataset_entropy_discrete() : ml_lib::dataset
• dt : ml_lib::random_forest

- e -

• entropy_discrete() : ml_lib::dataset
• evaluate_classifier() : ml_lib::random_forest
• extra_args : ml_lib::random_forest

- i -

• inputs : ml_lib::random_forest
• iris_array : ml_lib::random_forest

- l -

• leave_one_out() : ml_lib::dataset
• load_pickle() : ml_lib::random_forest

- m -

• min_entropy_split() : ml_lib::random_forest
• mode_exhaustive() : ml_lib::random_forest

- n -

• new_dt : ml_lib::random_forest

- o -

• outputs : ml_lib::random_forest

- p -

• packed : ml_lib::random_forest
• pca() : ml_lib::dimreduce
• pca_eigenface_trick() : ml_lib::dimreduce
• pca_gain_threshold() : ml_lib::dimreduce
• pca_variance_threshold() : ml_lib::dimreduce
• pca_vectors() : ml_lib::dimreduce
• pred_new : ml_lib::random_forest
• pred_old : ml_lib::random_forest
• preds : ml_lib::random_forest
• print_separator() : ml_lib::random_forest

- r -

• random_subset() : ml_lib::random_forest
• random_subset_split() : ml_lib::random_forest
• randomized_vectors() : ml_lib::dimreduce
• resp : ml_lib::random_forest

- s -

• save_pickle() : ml_lib::random_forest
• split_continuous() : ml_lib::dataset
• split_random_subset() : ml_lib::random_forest

- t -

• test : ml_lib::random_forest
• test_iris : ml_lib::random_forest
• test_new_design : ml_lib::random_forest
• test_number_trees : ml_lib::random_forest
• test_packing : ml_lib::random_forest
• test_pca : ml_lib::random_forest
• test_pickle : ml_lib::random_forest
• totally_random_split() : ml_lib::random_forest
• train : ml_lib::random_forest
• tree_types : ml_lib::random_forest

- u -

• unique_values() : ml_lib::dataset