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
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_check.hpp
arma_traits.hpp
backtrace.hpp
cli.hpp
cli_deleter.hpp
default_param.hpp
deprecated.hpp
log.hpp
nulloutstream.hpp
option.hpp
output_param.hpp
param.hpp
param_data.hpp
prefixedoutstream.hpp
print_param.hpp
sfinae_utility.hpp
singletons.hpp
string_type_param.hpp
timers.hpp
version.hpp
▼ methods
► adaboost
adaboost.hpp
adaboost_model.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
► activation_functions
identity_function.hpp
logistic_function.hpp
rectifier_function.hpp
softplus_function.hpp
softsign_function.hpp
tanh_function.hpp
► convolution_rules
border_modes.hpp
fft_convolution.hpp
naive_convolution.hpp
svd_convolution.hpp
► init_rules
kathirvalavakumar_subavathi_init.hpp
nguyen_widrow_init.hpp
oivs_init.hpp
orthogonal_init.hpp
random_init.hpp
zero_init.hpp
► layer
add.hpp
add_merge.hpp
base_layer.hpp
concat.hpp
concat_performance.hpp
constant.hpp
convolution.hpp
dropconnect.hpp
dropout.hpp
elu.hpp
glimpse.hpp
hard_tanh.hpp
join.hpp
layer.hpp
layer_traits.hpp
layer_types.hpp
leaky_relu.hpp
linear.hpp
linear_no_bias.hpp
log_softmax.hpp
lookup.hpp
lstm.hpp
max_pooling.hpp
mean_pooling.hpp
mean_squared_error.hpp
multiply_constant.hpp
negative_log_likelihood.hpp
parametric_relu.hpp
recurrent.hpp
recurrent_attention.hpp
reinforce_normal.hpp
select.hpp
sequential.hpp
vr_class_reward.hpp
► visitor
add_visitor.hpp
backward_visitor.hpp
delete_visitor.hpp
delta_visitor.hpp
deterministic_set_visitor.hpp
forward_visitor.hpp
gradient_set_visitor.hpp
gradient_update_visitor.hpp
gradient_visitor.hpp
gradient_zero_visitor.hpp
load_output_parameter_visitor.hpp
output_height_visitor.hpp
output_parameter_visitor.hpp
output_width_visitor.hpp
parameters_set_visitor.hpp
parameters_visitor.hpp
reset_visitor.hpp
reward_set_visitor.hpp
save_output_parameter_visitor.hpp
set_input_height_visitor.hpp
set_input_width_visitor.hpp
weight_set_visitor.hpp
weight_size_visitor.hpp
ffn.hpp
rnn.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_model.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
hoeffding_tree_model.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
► mvu
mvu.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
prereqs.hpp	The core includes that mlpack expects; standard C++ includes and Armadillo