Index

A

add_configuration() (pyrfr.regression.default_data_container_with_instances method) add_data_point() (pyrfr.regression.data_base method) (pyrfr.regression.default_data_container method) (pyrfr.regression.default_data_container_with_instances method) add_instance() (pyrfr.regression.default_data_container_with_instances method) adjust_limits_to_data() (pyrfr.regression.forest_opts method) (pyrfr.regression.tree_opts method) advance() (pyrfr.regression.SwigPyIterator method)

all_leaf_values() (pyrfr.regression.binary_rss_forest method) (pyrfr.regression.fanova_forest method) (pyrfr.regression.fanova_forest_prototype method) (pyrfr.regression.qr_forest method) all_split_values() (pyrfr.regression.fanova_forest method) append() (pyrfr.regression.idx_vector method) (pyrfr.regression.num_vector method) (pyrfr.regression.num_vector_vector method) (pyrfr.regression.num_vector_vector_vector method) ascii_string_representation() (pyrfr.regression.binary_rss_forest method) (pyrfr.regression.fanova_forest method) (pyrfr.regression.fanova_forest_prototype method) (pyrfr.regression.qr_forest method) assign() (pyrfr.regression.idx_vector method) (pyrfr.regression.num_vector method) (pyrfr.regression.num_vector_vector method) (pyrfr.regression.num_vector_vector_vector method)

B

back() (pyrfr.regression.idx_vector method) (pyrfr.regression.num_vector method) (pyrfr.regression.num_vector_vector method) (pyrfr.regression.num_vector_vector_vector method) base_tree (class in pyrfr.regression) begin() (pyrfr.regression.idx_vector method) (pyrfr.regression.num_vector method) (pyrfr.regression.num_vector_vector method) (pyrfr.regression.num_vector_vector_vector method)

binary_full_tree_rss (class in pyrfr.regression) binary_rss_forest (class in pyrfr.regression)

C

capacity() (pyrfr.regression.idx_vector method) (pyrfr.regression.num_vector method) (pyrfr.regression.num_vector_vector method) (pyrfr.regression.num_vector_vector_vector method) check_consistency() (pyrfr.regression.default_data_container method) (pyrfr.regression.default_data_container_with_instances method) check_split_fractions() (pyrfr.regression.binary_full_tree_rss method) clear() (pyrfr.regression.idx_vector method) (pyrfr.regression.num_vector method) (pyrfr.regression.num_vector_vector method) (pyrfr.regression.num_vector_vector_vector method)

compute_oob_error (pyrfr.regression.forest_opts attribute) copy() (pyrfr.regression.SwigPyIterator method) covariance() (pyrfr.regression.binary_rss_forest method) (pyrfr.regression.fanova_forest method) (pyrfr.regression.fanova_forest_prototype method) (pyrfr.regression.qr_forest method)

D

data_base (class in pyrfr.regression) decr() (pyrfr.regression.SwigPyIterator method) default_data_container (class in pyrfr.regression) default_data_container_with_instances (class in pyrfr.regression)

default_random_engine (class in pyrfr.regression) depth() (pyrfr.regression.base_tree method) (pyrfr.regression.binary_full_tree_rss method) distance() (pyrfr.regression.SwigPyIterator method) do_bootstrapping (pyrfr.regression.forest_opts attribute)

E

empty() (pyrfr.regression.idx_vector method) (pyrfr.regression.num_vector method) (pyrfr.regression.num_vector_vector method) (pyrfr.regression.num_vector_vector_vector method) end() (pyrfr.regression.idx_vector method) (pyrfr.regression.num_vector method) (pyrfr.regression.num_vector_vector method) (pyrfr.regression.num_vector_vector_vector method) epsilon_purity (pyrfr.regression.tree_opts attribute)

equal() (pyrfr.regression.SwigPyIterator method) erase() (pyrfr.regression.idx_vector method) (pyrfr.regression.num_vector method) (pyrfr.regression.num_vector_vector method) (pyrfr.regression.num_vector_vector_vector method)

F

fanova_forest (class in pyrfr.regression) fanova_forest_prototype (class in pyrfr.regression) feature() (pyrfr.regression.data_base method) (pyrfr.regression.default_data_container method) (pyrfr.regression.default_data_container_with_instances method) features() (pyrfr.regression.data_base method) (pyrfr.regression.default_data_container method) (pyrfr.regression.default_data_container_with_instances method) find_leaf_index() (pyrfr.regression.binary_full_tree_rss method)

first (pyrfr.regression.num_num_pair attribute) fit() (pyrfr.regression.base_tree method) (pyrfr.regression.binary_full_tree_rss method) (pyrfr.regression.binary_rss_forest method) (pyrfr.regression.fanova_forest method) (pyrfr.regression.fanova_forest_prototype method) (pyrfr.regression.qr_forest method) forest_opts (class in pyrfr.regression) front() (pyrfr.regression.idx_vector method) (pyrfr.regression.num_vector method) (pyrfr.regression.num_vector_vector method) (pyrfr.regression.num_vector_vector_vector method)

G

get_allocator() (pyrfr.regression.idx_vector method) (pyrfr.regression.num_vector method) (pyrfr.regression.num_vector_vector method) (pyrfr.regression.num_vector_vector_vector method) get_bounds_of_feature() (pyrfr.regression.data_base method) (pyrfr.regression.default_data_container method) (pyrfr.regression.default_data_container_with_instances method) get_configuration_set() (pyrfr.regression.default_data_container_with_instances method) get_cutoffs() (pyrfr.regression.fanova_forest method) get_features_by_configuration_and_instance() (pyrfr.regression.default_data_container_with_instances method) get_instance_set() (pyrfr.regression.default_data_container_with_instances method)

get_leaf() (pyrfr.regression.binary_full_tree_rss method) get_min_max_of_feature() (pyrfr.regression.default_data_container method) get_trees_total_variances() (pyrfr.regression.fanova_forest method) get_type_of_feature() (pyrfr.regression.data_base method) (pyrfr.regression.default_data_container method) (pyrfr.regression.default_data_container_with_instances method) get_type_of_response() (pyrfr.regression.data_base method) (pyrfr.regression.default_data_container method) (pyrfr.regression.default_data_container_with_instances method) guess_bounds_from_data() (pyrfr.regression.default_data_container method)

I

idx_vector (class in pyrfr.regression) import_csv_files() (pyrfr.regression.default_data_container method) incr() (pyrfr.regression.SwigPyIterator method)

init_protected() (pyrfr.regression.default_data_container method) insert() (pyrfr.regression.idx_vector method) (pyrfr.regression.num_vector method) (pyrfr.regression.num_vector_vector method) (pyrfr.regression.num_vector_vector_vector method) iterator() (pyrfr.regression.idx_vector method) (pyrfr.regression.num_vector method) (pyrfr.regression.num_vector_vector method) (pyrfr.regression.num_vector_vector_vector method)

K

kernel() (pyrfr.regression.binary_rss_forest method) (pyrfr.regression.fanova_forest method) (pyrfr.regression.fanova_forest_prototype method) (pyrfr.regression.qr_forest method)

L

leaf_entries() (pyrfr.regression.base_tree method) (pyrfr.regression.binary_full_tree_rss method) leaf_statistic() (pyrfr.regression.binary_full_tree_rss method)

load_from_ascii_string() (pyrfr.regression.binary_rss_forest method) (pyrfr.regression.fanova_forest method) (pyrfr.regression.fanova_forest_prototype method) (pyrfr.regression.qr_forest method) load_from_binary_file() (pyrfr.regression.binary_rss_forest method) (pyrfr.regression.fanova_forest method) (pyrfr.regression.fanova_forest_prototype method) (pyrfr.regression.qr_forest method)

M

marginal_mean_prediction() (pyrfr.regression.fanova_forest method) marginal_mean_variance_prediction() (pyrfr.regression.fanova_forest method) marginal_prediction_stat_of_tree() (pyrfr.regression.fanova_forest method) marginalized_mean_prediction() (pyrfr.regression.binary_full_tree_rss method) max_depth (pyrfr.regression.tree_opts attribute) max_features (pyrfr.regression.tree_opts attribute)

max_num_leaves (pyrfr.regression.tree_opts attribute) max_num_nodes (pyrfr.regression.tree_opts attribute) min_samples_in_leaf (pyrfr.regression.tree_opts attribute) min_samples_to_split (pyrfr.regression.tree_opts attribute) min_weight_in_leaf (pyrfr.regression.tree_opts attribute)

N

next() (pyrfr.regression.SwigPyIterator method) num_configurations() (pyrfr.regression.default_data_container_with_instances method) num_data_points() (pyrfr.regression.data_base method) (pyrfr.regression.default_data_container method) (pyrfr.regression.default_data_container_with_instances method) num_data_points_per_tree (pyrfr.regression.forest_opts attribute) num_features() (pyrfr.regression.data_base method) (pyrfr.regression.default_data_container method) (pyrfr.regression.default_data_container_with_instances method) num_instances() (pyrfr.regression.default_data_container_with_instances method) num_num_pair (class in pyrfr.regression)

num_trees (pyrfr.regression.forest_opts attribute) num_trees() (pyrfr.regression.binary_rss_forest method) (pyrfr.regression.fanova_forest method) (pyrfr.regression.fanova_forest_prototype method) (pyrfr.regression.qr_forest method) num_vector (class in pyrfr.regression) num_vector_vector (class in pyrfr.regression) num_vector_vector_vector (class in pyrfr.regression) number_of_leafs() (pyrfr.regression.base_tree method) (pyrfr.regression.binary_full_tree_rss method) number_of_nodes() (pyrfr.regression.base_tree method) (pyrfr.regression.binary_full_tree_rss method)

O

options (pyrfr.regression.binary_rss_forest attribute) (pyrfr.regression.fanova_forest attribute) (pyrfr.regression.fanova_forest_prototype attribute) (pyrfr.regression.qr_forest attribute)

out_of_bag_error() (pyrfr.regression.binary_rss_forest method) (pyrfr.regression.fanova_forest method) (pyrfr.regression.fanova_forest_prototype method) (pyrfr.regression.qr_forest method)

P

partition() (pyrfr.regression.binary_full_tree_rss method) partition_recursor() (pyrfr.regression.binary_full_tree_rss method) pop() (pyrfr.regression.idx_vector method) (pyrfr.regression.num_vector method) (pyrfr.regression.num_vector_vector method) (pyrfr.regression.num_vector_vector_vector method) pop_back() (pyrfr.regression.idx_vector method) (pyrfr.regression.num_vector method) (pyrfr.regression.num_vector_vector method) (pyrfr.regression.num_vector_vector_vector method) precompute_marginals() (pyrfr.regression.fanova_forest method) predict() (pyrfr.regression.base_tree method) (pyrfr.regression.binary_full_tree_rss method) (pyrfr.regression.binary_rss_forest method) (pyrfr.regression.fanova_forest method) (pyrfr.regression.fanova_forest_prototype method) (pyrfr.regression.qr_forest method) predict_mean_var() (pyrfr.regression.binary_rss_forest method) (pyrfr.regression.fanova_forest method) (pyrfr.regression.fanova_forest_prototype method) (pyrfr.regression.qr_forest method) predict_quantiles() (pyrfr.regression.qr_forest method)

previous() (pyrfr.regression.SwigPyIterator method) print_data() (pyrfr.regression.default_data_container method) print_info() (pyrfr.regression.binary_full_tree_rss method) (pyrfr.regression.binary_rss_forest method) (pyrfr.regression.fanova_forest method) (pyrfr.regression.fanova_forest_prototype method) (pyrfr.regression.qr_forest method) pseudo_downdate() (pyrfr.regression.binary_full_tree_rss method) (pyrfr.regression.binary_rss_forest method) (pyrfr.regression.fanova_forest method) (pyrfr.regression.fanova_forest_prototype method) (pyrfr.regression.qr_forest method) pseudo_update() (pyrfr.regression.binary_full_tree_rss method) (pyrfr.regression.binary_rss_forest method) (pyrfr.regression.fanova_forest method) (pyrfr.regression.fanova_forest_prototype method) (pyrfr.regression.qr_forest method) push_back() (pyrfr.regression.idx_vector method) (pyrfr.regression.num_vector method) (pyrfr.regression.num_vector_vector method) (pyrfr.regression.num_vector_vector_vector method) pyrfr.regression (module)

Q

qr_forest (class in pyrfr.regression)

R

rbegin() (pyrfr.regression.idx_vector method) (pyrfr.regression.num_vector method) (pyrfr.regression.num_vector_vector method) (pyrfr.regression.num_vector_vector_vector method) rend() (pyrfr.regression.idx_vector method) (pyrfr.regression.num_vector method) (pyrfr.regression.num_vector_vector method) (pyrfr.regression.num_vector_vector_vector method) reserve() (pyrfr.regression.idx_vector method) (pyrfr.regression.num_vector method) (pyrfr.regression.num_vector_vector method) (pyrfr.regression.num_vector_vector_vector method)

resize() (pyrfr.regression.idx_vector method) (pyrfr.regression.num_vector method) (pyrfr.regression.num_vector_vector method) (pyrfr.regression.num_vector_vector_vector method) response() (pyrfr.regression.data_base method) (pyrfr.regression.default_data_container method) (pyrfr.regression.default_data_container_with_instances method) retrieve_data_point() (pyrfr.regression.data_base method) (pyrfr.regression.default_data_container method) (pyrfr.regression.default_data_container_with_instances method)

S

save_latex_representation() (pyrfr.regression.base_tree method) (pyrfr.regression.binary_full_tree_rss method) (pyrfr.regression.binary_rss_forest method) (pyrfr.regression.fanova_forest method) (pyrfr.regression.fanova_forest_prototype method) (pyrfr.regression.qr_forest method) save_to_binary_file() (pyrfr.regression.binary_rss_forest method) (pyrfr.regression.fanova_forest method) (pyrfr.regression.fanova_forest_prototype method) (pyrfr.regression.qr_forest method) second (pyrfr.regression.num_num_pair attribute) seed() (pyrfr.regression.default_random_engine method) set_bounds_of_feature() (pyrfr.regression.data_base method) (pyrfr.regression.default_data_container method) (pyrfr.regression.default_data_container_with_instances method) set_cutoffs() (pyrfr.regression.fanova_forest method) set_default_values() (pyrfr.regression.forest_opts method) (pyrfr.regression.tree_opts method)

set_type_of_configuration_feature() (pyrfr.regression.default_data_container_with_instances method) set_type_of_feature() (pyrfr.regression.data_base method) (pyrfr.regression.default_data_container method) (pyrfr.regression.default_data_container_with_instances method) set_type_of_instance_feature() (pyrfr.regression.default_data_container_with_instances method) set_type_of_response() (pyrfr.regression.data_base method) (pyrfr.regression.default_data_container method) (pyrfr.regression.default_data_container_with_instances method) size() (pyrfr.regression.idx_vector method) (pyrfr.regression.num_vector method) (pyrfr.regression.num_vector_vector method) (pyrfr.regression.num_vector_vector_vector method) swap() (pyrfr.regression.idx_vector method) (pyrfr.regression.num_vector method) (pyrfr.regression.num_vector_vector method) (pyrfr.regression.num_vector_vector_vector method) SwigPyIterator (class in pyrfr.regression)

T

thisown (pyrfr.regression.base_tree attribute) (pyrfr.regression.SwigPyIterator attribute) (pyrfr.regression.binary_full_tree_rss attribute) (pyrfr.regression.binary_rss_forest attribute) (pyrfr.regression.data_base attribute) (pyrfr.regression.default_data_container attribute) (pyrfr.regression.default_data_container_with_instances attribute) (pyrfr.regression.default_random_engine attribute) (pyrfr.regression.fanova_forest attribute) (pyrfr.regression.fanova_forest_prototype attribute) (pyrfr.regression.forest_opts attribute) (pyrfr.regression.idx_vector attribute) (pyrfr.regression.num_num_pair attribute) (pyrfr.regression.num_vector attribute) (pyrfr.regression.num_vector_vector attribute) (pyrfr.regression.num_vector_vector_vector attribute) (pyrfr.regression.qr_forest attribute) (pyrfr.regression.tree_opts attribute) total_weight_in_subtree() (pyrfr.regression.binary_full_tree_rss method)

tree_opts (class in pyrfr.regression) (pyrfr.regression.forest_opts attribute)

V

value() (pyrfr.regression.SwigPyIterator method)

W

weight() (pyrfr.regression.data_base method) (pyrfr.regression.default_data_container method) (pyrfr.regression.default_data_container_with_instances method)