File List

Here is a list of all files with brief descriptions:

[detail level 1234567]

▼ doc
▼ guide
bindings.hpp
build.hpp
build_windows.hpp
cli_quickstart.hpp
cv.hpp
formats.hpp
hpt.hpp
iodoc.hpp
matrices.hpp
python_quickstart.hpp
sample.hpp
sample_ml_app.hpp
timer.hpp
version.hpp
▼ policies
elemtype.hpp
functiontype.hpp
kernels.hpp
metrics.hpp
trees.hpp
▼ src
▼ mlpack
▼ bindings
▶ cli
add_to_po.hpp
cli_option.hpp
default_param.hpp
delete_allocated_memory.hpp
end_program.hpp
get_allocated_memory.hpp
get_param.hpp
get_printable_param.hpp
get_printable_param_name.hpp
get_printable_param_value.hpp
get_raw_param.hpp
map_parameter_name.hpp
output_param.hpp
parameter_type.hpp
parse_command_line.hpp
print_doc_functions.hpp
print_help.hpp
set_param.hpp
string_type_param.hpp
▶ python
▶ mlpack
arma_util.hpp
cli_util.hpp
serialization.hpp
get_arma_type.hpp
get_cython_type.hpp
get_numpy_type.hpp
get_numpy_type_char.hpp
get_param.hpp
get_printable_param.hpp
get_python_type.hpp
import_decl.hpp
print_class_defn.hpp
print_defn.hpp
print_doc.hpp
print_doc_functions.hpp
print_input_processing.hpp
print_output_processing.hpp
print_pyx.hpp
py_option.hpp
strip_type.hpp
▶ tests
clean_memory.hpp
delete_allocated_memory.hpp
get_allocated_memory.hpp
get_param.hpp
get_printable_param.hpp
ignore_check.hpp
test_option.hpp
▼ core
▶ cv
▶ metrics
accuracy.hpp
average_strategy.hpp
f1.hpp
facilities.hpp
mse.hpp
precision.hpp
recall.hpp
cv_base.hpp
k_fold_cv.hpp
meta_info_extractor.hpp
simple_cv.hpp
▶ 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
has_serialize.hpp
imputer.hpp
is_naninf.hpp
load.hpp
load_arff.hpp
load_csv.hpp
normalize_labels.hpp
save.hpp
serialization_template_version.hpp
split_data.hpp
▶ dists
discrete_distribution.hpp
gamma_distribution.hpp
gaussian_distribution.hpp
laplace_distribution.hpp
regression_distribution.hpp
▶ hpt
cv_function.hpp
deduce_hp_types.hpp
fixed.hpp
hpt.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
make_alias.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
shuffle_data.hpp
▶ metrics
ip_metric.hpp
lmetric.hpp
mahalanobis_distance.hpp
▶ optimizers
▶ ada_delta
ada_delta.hpp
ada_delta_update.hpp
▶ ada_grad
ada_grad.hpp
ada_grad_update.hpp
▶ adam
adam.hpp
adam_update.hpp
adamax_update.hpp
amsgrad_update.hpp
nadam_update.hpp
nadamax_update.hpp
optimisticadam_update.hpp
▶ aug_lagrangian
aug_lagrangian.hpp
aug_lagrangian_function.hpp
aug_lagrangian_test_functions.hpp
▶ bigbatch_sgd
adaptive_stepsize.hpp
backtracking_line_search.hpp
bigbatch_sgd.hpp
▶ cmaes
cmaes.hpp
full_selection.hpp
random_selection.hpp
▶ cne
cne.hpp
▶ function
add_decomposable_evaluate.hpp
add_decomposable_evaluate_const.hpp
add_decomposable_evaluate_with_gradient.hpp
add_decomposable_evaluate_with_gradient_const.hpp
add_decomposable_gradient.hpp
add_evaluate.hpp
add_evaluate_with_gradient.hpp
add_gradient.hpp
static_checks.hpp
traits.hpp
▶ fw
atoms.hpp
constr_lpball.hpp
constr_structure_group.hpp
frank_wolfe.hpp
func_sq.hpp
test_func_fw.hpp
update_classic.hpp
update_full_correction.hpp
update_linesearch.hpp
update_span.hpp
▶ gradient_descent
gradient_descent.hpp
test_function.hpp
▶ grid_search
grid_search.hpp
▶ iqn
iqn.hpp
▶ katyusha
katyusha.hpp
▶ lbfgs
lbfgs.hpp
▶ line_search
line_search.hpp
▶ parallel_sgd
▶ decay_policies
constant_step.hpp
exponential_backoff.hpp
parallel_sgd.hpp
sparse_test_function.hpp
▶ problems
booth_function.hpp
bukin_function.hpp
colville_function.hpp
drop_wave_function.hpp
easom_function.hpp
eggholder_function.hpp
generalized_rosenbrock_function.hpp
matyas_function.hpp
mc_cormick_function.hpp
rastrigin_function.hpp
rosenbrock_function.hpp
rosenbrock_wood_function.hpp
schwefel_function.hpp
sgd_test_function.hpp
sphere_function.hpp
styblinski_tang_function.hpp
wood_function.hpp
▶ proximal
proximal.hpp
▶ rmsprop
rmsprop.hpp
rmsprop_update.hpp
▶ sa
exponential_schedule.hpp
sa.hpp
▶ sarah
sarah.hpp
sarah_plus_update.hpp
sarah_update.hpp
▶ scd
▶ descent_policies
cyclic_descent.hpp
greedy_descent.hpp
random_descent.hpp
scd.hpp
▶ sdp
lrsdp.hpp
lrsdp_function.hpp
primal_dual.hpp
sdp.hpp
▶ sgd
▶ decay_policies
no_decay.hpp
▶ update_policies
gradient_clipping.hpp
momentum_update.hpp
nesterov_momentum_update.hpp
vanilla_update.hpp
sgd.hpp
▶ sgdr
cyclical_decay.hpp
sgdr.hpp
snapshot_ensembles.hpp
snapshot_sgdr.hpp
▶ smorms3
smorms3.hpp
smorms3_update.hpp
▶ spalera_sgd
spalera_sgd.hpp
spalera_stepsize.hpp
▶ svrg
barzilai_borwein_decay.hpp
svrg.hpp
svrg_update.hpp
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
enumerate_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
deprecated.hpp
hyphenate_string.hpp
is_std_vector.hpp
log.hpp
mlpack_main.hpp
nulloutstream.hpp
param.hpp
param_checks.hpp
param_data.hpp
prefixedoutstream.hpp
program_doc.hpp
sfinae_utility.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
swish_function.hpp
tanh_function.hpp
▶ augmented
▶ tasks
add.hpp
copy.hpp
score.hpp
sort.hpp
▶ convolution_rules
border_modes.hpp
fft_convolution.hpp
naive_convolution.hpp
svd_convolution.hpp
▶ init_rules
const_init.hpp
gaussian_init.hpp
glorot_init.hpp
he_init.hpp
init_rules_traits.hpp
kathirvalavakumar_subavathi_init.hpp
lecun_normal_init.hpp
network_init.hpp
nguyen_widrow_init.hpp
oivs_init.hpp
orthogonal_init.hpp
random_init.hpp
▶ layer
add.hpp
add_merge.hpp
alpha_dropout.hpp
atrous_convolution.hpp
base_layer.hpp
batch_norm.hpp
bilinear_interpolation.hpp
concat.hpp
concat_performance.hpp
constant.hpp
convolution.hpp
dropconnect.hpp
dropout.hpp
elu.hpp
fast_lstm.hpp
flexible_relu.hpp
glimpse.hpp
gru.hpp
hard_tanh.hpp
join.hpp
layer.hpp
layer_norm.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
multiply_constant.hpp
multiply_merge.hpp
negative_log_likelihood.hpp
parametric_relu.hpp
recurrent.hpp
recurrent_attention.hpp
reinforce_normal.hpp
select.hpp
sequential.hpp
transposed_convolution.hpp
vr_class_reward.hpp
▶ loss_functions
cross_entropy_error.hpp
kl_divergence.hpp
mean_squared_error.hpp
sigmoid_cross_entropy_error.hpp
▶ visitor
add_visitor.hpp
backward_visitor.hpp
copy_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_cell_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
▶ block_krylov_svd
randomized_block_krylov_svd.hpp
▶ cf
▶ decomposition_policies
batch_svd_method.hpp
nmf_method.hpp
randomized_svd_method.hpp
regularized_svd_method.hpp
svd_complete_method.hpp
svd_incomplete_method.hpp
cf.hpp
svd_wrapper.hpp
▶ dbscan
dbscan.hpp
random_point_selection.hpp
▶ decision_stump
decision_stump.hpp
▶ decision_tree
all_categorical_split.hpp
all_dimension_select.hpp
best_binary_numeric_split.hpp
decision_tree.hpp
gini_gain.hpp
information_gain.hpp
multiple_random_dimension_select.hpp
random_dimension_select.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_block_krylov_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
▶ random_forest
bootstrap.hpp
random_forest.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
▶ reinforcement_learning
▶ environment
acrobat.hpp
cart_pole.hpp
continuous_mountain_car.hpp
mountain_car.hpp
pendulum.hpp
▶ policy
aggregated_policy.hpp
greedy_policy.hpp
▶ replay
random_replay.hpp
▶ worker
n_step_q_learning_worker.hpp
one_step_q_learning_worker.hpp
one_step_sarsa_worker.hpp
async_learning.hpp
q_learning.hpp
training_config.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
▶ sparse_svm
sparse_svm_function.hpp
▼ tests
▶ main_tests
hmm_test_utils.hpp
test_helper.hpp
custom_layer.hpp
mock_categorical_data.hpp	Generate categorical dataset for tests
serialization.hpp
test_function_tools.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