File List

Here is a list of all files with brief descriptions:

[detail level 123456]

▼ doc
▼ guide
build.hpp
formats.hpp
iodoc.hpp
matrices.hpp
sample.hpp
timer.hpp
version.hpp
▼ policies
elemtype.hpp
kernels.hpp
metrics.hpp
trees.hpp
▼ src
▼ mlpack
▼ core
▶ data
▶ imputation_methods
custom_imputation.hpp
listwise_deletion.hpp
mean_imputation.hpp
median_imputation.hpp
▶ map_policies
datatype.hpp
increment_policy.hpp
missing_policy.hpp
binarize.hpp
dataset_mapper.hpp
extension.hpp
format.hpp
imputer.hpp
load.hpp
load_arff.hpp
load_csv.hpp
normalize_labels.hpp
save.hpp
serialization_shim.hpp
serialization_template_version.hpp
split_data.hpp
▶ dists
discrete_distribution.hpp
gamma_distribution.hpp
gaussian_distribution.hpp
laplace_distribution.hpp
regression_distribution.hpp
▶ kernels
cosine_distance.hpp
epanechnikov_kernel.hpp
example_kernel.hpp
gaussian_kernel.hpp
hyperbolic_tangent_kernel.hpp
kernel_traits.hpp
laplacian_kernel.hpp
linear_kernel.hpp
polynomial_kernel.hpp
pspectrum_string_kernel.hpp
spherical_kernel.hpp
triangular_kernel.hpp
▶ math
clamp.hpp	Miscellaneous math clamping routines
columns_to_blocks.hpp
lin_alg.hpp
random.hpp	Miscellaneous math random-related routines
random_basis.hpp
range.hpp	Definition of the Range class, which represents a simple range with a lower and upper bound
round.hpp
▶ metrics
ip_metric.hpp
lmetric.hpp
mahalanobis_distance.hpp
▶ optimizers
▶ adadelta
ada_delta.hpp
▶ adam
adam.hpp
▶ aug_lagrangian
aug_lagrangian.hpp
aug_lagrangian_function.hpp
aug_lagrangian_test_functions.hpp
▶ gradient_descent
gradient_descent.hpp
test_function.hpp
▶ lbfgs
lbfgs.hpp
test_functions.hpp
▶ minibatch_sgd
minibatch_sgd.hpp
▶ rmsprop
rmsprop.hpp
▶ sa
exponential_schedule.hpp
sa.hpp
▶ sdp
lrsdp.hpp
lrsdp_function.hpp
primal_dual.hpp
sdp.hpp
▶ sgd
sgd.hpp
test_function.hpp
▶ tree
▶ binary_space_tree
binary_space_tree.hpp
breadth_first_dual_tree_traverser.hpp
dual_tree_traverser.hpp
mean_split.hpp
midpoint_split.hpp
rp_tree_max_split.hpp
rp_tree_mean_split.hpp
single_tree_traverser.hpp
traits.hpp
typedef.hpp
ub_tree_split.hpp
vantage_point_split.hpp
▶ cosine_tree
cosine_tree.hpp
▶ cover_tree
cover_tree.hpp
dual_tree_traverser.hpp
first_point_is_root.hpp
single_tree_traverser.hpp
traits.hpp
typedef.hpp
▶ octree
dual_tree_traverser.hpp
octree.hpp
single_tree_traverser.hpp
traits.hpp
▶ rectangle_tree
discrete_hilbert_value.hpp
dual_tree_traverser.hpp
hilbert_r_tree_auxiliary_information.hpp
hilbert_r_tree_descent_heuristic.hpp
hilbert_r_tree_split.hpp
minimal_coverage_sweep.hpp
minimal_splits_number_sweep.hpp
no_auxiliary_information.hpp
r_plus_plus_tree_auxiliary_information.hpp
r_plus_plus_tree_descent_heuristic.hpp
r_plus_plus_tree_split_policy.hpp
r_plus_tree_descent_heuristic.hpp
r_plus_tree_split.hpp
r_plus_tree_split_policy.hpp
r_star_tree_descent_heuristic.hpp
r_star_tree_split.hpp
r_tree_descent_heuristic.hpp
r_tree_split.hpp
rectangle_tree.hpp
single_tree_traverser.hpp
traits.hpp
typedef.hpp
x_tree_auxiliary_information.hpp
x_tree_split.hpp
▶ space_split
hyperplane.hpp
mean_space_split.hpp
midpoint_space_split.hpp
projection_vector.hpp
space_split.hpp
▶ spill_tree
is_spill_tree.hpp	Definition of IsSpillTree
spill_dual_tree_traverser.hpp
spill_single_tree_traverser.hpp
spill_tree.hpp
traits.hpp
typedef.hpp
address.hpp
ballbound.hpp	Bounds that are useful for binary space partitioning trees
binary_space_tree.hpp
bound_traits.hpp
bounds.hpp	Bounds that are useful for binary space partitioning trees
cellbound.hpp
cover_tree.hpp
example_tree.hpp
greedy_single_tree_traverser.hpp
hollow_ball_bound.hpp	Bounds that are useful for binary space partitioning trees
hrectbound.hpp	Bounds that are useful for binary space partitioning trees
octree.hpp
perform_split.hpp
rectangle_tree.hpp
spill_tree.hpp
statistic.hpp	Definition of the policy type for the statistic class
traversal_info.hpp
tree_traits.hpp
▶ util
arma_config.hpp	This is an autogenerated file which contains the configuration of Armadillo at the time mlpack was built
arma_config_check.hpp
arma_traits.hpp
backtrace.hpp
cli.hpp
cli_deleter.hpp
deprecated.hpp
log.hpp
nulloutstream.hpp
option.hpp
param.hpp
prefixedoutstream.hpp
sfinae_utility.hpp
singletons.hpp
timers.hpp
version.hpp
▼ methods
▶ adaboost
adaboost.hpp
▶ amf
▶ init_rules
average_init.hpp
given_init.hpp
random_acol_init.hpp
random_init.hpp
▶ termination_policies
complete_incremental_termination.hpp
incomplete_incremental_termination.hpp
max_iteration_termination.hpp
simple_residue_termination.hpp
simple_tolerance_termination.hpp
validation_RMSE_termination.hpp
▶ update_rules
nmf_als.hpp
nmf_mult_dist.hpp
nmf_mult_div.hpp
svd_batch_learning.hpp
svd_complete_incremental_learning.hpp
svd_incomplete_incremental_learning.hpp
amf.hpp
▶ ann
▶ init_rules
random_init.hpp
▶ approx_kfn
drusilla_select.hpp
qdafn.hpp
▶ cf
cf.hpp
svd_wrapper.hpp
▶ dbscan
dbscan.hpp
random_point_selection.hpp
▶ decision_stump
decision_stump.hpp
▶ decision_tree
all_categorical_split.hpp
best_binary_numeric_split.hpp
decision_tree.hpp
gini_gain.hpp
information_gain.hpp
▶ det
dt_utils.hpp
dtree.hpp
▶ emst
dtb.hpp
dtb_rules.hpp
dtb_stat.hpp
edge_pair.hpp
union_find.hpp
▶ fastmks
fastmks.hpp
fastmks_model.hpp
fastmks_rules.hpp
fastmks_stat.hpp
▶ gmm
diagonal_constraint.hpp
eigenvalue_ratio_constraint.hpp
em_fit.hpp
gmm.hpp
no_constraint.hpp
positive_definite_constraint.hpp
▶ hmm
hmm.hpp
hmm_regression.hpp
hmm_util.hpp
▶ hoeffding_trees
binary_numeric_split.hpp
binary_numeric_split_info.hpp
categorical_split_info.hpp
gini_impurity.hpp
hoeffding_categorical_split.hpp
hoeffding_numeric_split.hpp
hoeffding_tree.hpp
information_gain.hpp
numeric_split_info.hpp
typedef.hpp
▶ kernel_pca
▶ kernel_rules
naive_method.hpp
nystroem_method.hpp
kernel_pca.hpp
▶ kmeans
allow_empty_clusters.hpp
dual_tree_kmeans.hpp
dual_tree_kmeans_rules.hpp
dual_tree_kmeans_statistic.hpp
elkan_kmeans.hpp
hamerly_kmeans.hpp
kill_empty_clusters.hpp
kmeans.hpp
max_variance_new_cluster.hpp
naive_kmeans.hpp
pelleg_moore_kmeans.hpp
pelleg_moore_kmeans_rules.hpp
pelleg_moore_kmeans_statistic.hpp
random_partition.hpp
refined_start.hpp
sample_initialization.hpp
▶ lars
lars.hpp
▶ linear_regression
linear_regression.hpp
▶ local_coordinate_coding
lcc.hpp
▶ logistic_regression
logistic_regression.hpp
logistic_regression_function.hpp
▶ lsh
lsh_search.hpp
▶ matrix_completion
matrix_completion.hpp
▶ mean_shift
mean_shift.hpp
▶ naive_bayes
naive_bayes_classifier.hpp
▶ nca
nca.hpp
nca_softmax_error_function.hpp
▶ neighbor_search
▶ sort_policies
furthest_neighbor_sort.hpp
nearest_neighbor_sort.hpp
neighbor_search.hpp
neighbor_search_rules.hpp
neighbor_search_stat.hpp
ns_model.hpp
typedef.hpp
unmap.hpp
▶ nystroem_method
kmeans_selection.hpp
nystroem_method.hpp
ordered_selection.hpp
random_selection.hpp
▶ pca
▶ decomposition_policies
exact_svd_method.hpp
quic_svd_method.hpp
randomized_svd_method.hpp
pca.hpp
▶ perceptron
▶ initialization_methods
random_init.hpp
zero_init.hpp
▶ learning_policies
simple_weight_update.hpp
perceptron.hpp
▶ quic_svd
quic_svd.hpp
▶ radical
radical.hpp
▶ randomized_svd
randomized_svd.hpp
▶ range_search
range_search.hpp
range_search_rules.hpp
range_search_stat.hpp
rs_model.hpp
▶ rann
ra_model.hpp
ra_query_stat.hpp
ra_search.hpp
ra_search_rules.hpp
ra_typedef.hpp
ra_util.hpp
▶ regularized_svd
regularized_svd.hpp
regularized_svd_function.hpp
▶ softmax_regression
softmax_regression.hpp
softmax_regression_function.hpp
▶ sparse_autoencoder
maximal_inputs.hpp
sparse_autoencoder.hpp
sparse_autoencoder_function.hpp
▶ sparse_coding
data_dependent_random_initializer.hpp
nothing_initializer.hpp
random_initializer.hpp
sparse_coding.hpp
▼ tests
serialization.hpp
test_tools.hpp
core.hpp	Include all of the base components required to write MLPACK methods, and the main MLPACK Doxygen documentation
mlpack_export.hpp
prereqs.hpp	The core includes that mlpack expects; standard C++ includes and Armadillo