File List

Here is a list of all files with brief descriptions:

[detail level 12345678]

▼ mlpack-3.4.2
▼ doc
▼ guide
bindings.hpp
build.hpp
build_windows.hpp
cli_quickstart.hpp
cv.hpp
formats.hpp
go_quickstart.hpp
hpt.hpp
iodoc.hpp
julia_quickstart.hpp
matrices.hpp
python_quickstart.hpp
r_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_cli11.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_printable_type.hpp
get_raw_param.hpp
in_place_copy.hpp
map_parameter_name.hpp
output_param.hpp
parameter_type.hpp
parse_command_line.hpp
print_doc_functions.hpp
print_help.hpp
print_type_doc.hpp
set_param.hpp
string_type_param.hpp
▶ go
▶ mlpack
▶ capi
arma_util.hpp
io_util.hpp
default_param.hpp
get_go_type.hpp
get_param.hpp
get_printable_param.hpp
get_printable_type.hpp
get_type.hpp
go_option.hpp
print_defn_input.hpp
print_defn_output.hpp
print_doc.hpp
print_doc_functions.hpp
print_go.hpp
print_input_processing.hpp
print_method_config.hpp
print_method_init.hpp
print_output_processing.hpp
print_type_doc.hpp
strip_type.hpp
▶ julia
default_param.hpp
get_julia_type.hpp
get_param.hpp
get_printable_param.hpp
get_printable_type.hpp
julia_option.hpp
print_doc.hpp
print_doc_functions.hpp
print_input_param.hpp
print_input_processing.hpp
print_jl.hpp
print_model_type_import.hpp
print_output_processing.hpp
print_param_defn.hpp
print_type_doc.hpp
▶ markdown
binding_info.hpp
default_param.hpp
get_binding_name.hpp
get_param.hpp
get_printable_param.hpp
get_printable_param_name.hpp
get_printable_param_value.hpp
get_printable_type.hpp
is_serializable.hpp
md_option.hpp
print_doc_functions.hpp
print_docs.hpp
print_type_doc.hpp
program_doc_wrapper.hpp
▶ python
▶ mlpack
arma_util.hpp
io_util.hpp
serialization.hpp
default_param.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_printable_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
print_type_doc.hpp
py_option.hpp
strip_type.hpp
▶ R
default_param.hpp
get_param.hpp
get_printable_param.hpp
get_printable_type.hpp
get_r_type.hpp
get_type.hpp
print_doc.hpp
print_doc_functions.hpp
print_input_param.hpp
print_input_processing.hpp
print_output_processing.hpp
print_R.hpp
print_serialize_util.hpp
print_type_doc.hpp
R_option.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
▶ util
camel_case.hpp
strip_type.hpp
▶ core
▶ cv
▶ metrics
accuracy.hpp
average_strategy.hpp
f1.hpp
facilities.hpp
mse.hpp
precision.hpp
r2_score.hpp
recall.hpp
silhouette_score.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
▶ scaler_methods
max_abs_scaler.hpp
mean_normalization.hpp
min_max_scaler.hpp
pca_whitening.hpp
standard_scaler.hpp
zca_whitening.hpp
▶ string_encoding_policies
bag_of_words_encoding_policy.hpp
dictionary_encoding_policy.hpp
policy_traits.hpp
tf_idf_encoding_policy.hpp
▶ tokenizers
char_extract.hpp
split_by_any_of.hpp
binarize.hpp
confusion_matrix.hpp
dataset_mapper.hpp
detect_file_type.hpp
extension.hpp
format.hpp
has_serialize.hpp
image_info.hpp
imputer.hpp
is_naninf.hpp
load.hpp
load_arff.hpp
load_csv.hpp
normalize_labels.hpp
one_hot_encoding.hpp
save.hpp
serialization_template_version.hpp
split_data.hpp
string_encoding.hpp
string_encoding_dictionary.hpp
▶ dists
diagonal_gaussian_distribution.hpp
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
cauchy_kernel.hpp
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
ccov.hpp
clamp.hpp	Miscellaneous math clamping routines
columns_to_blocks.hpp
lin_alg.hpp
log_add.hpp
make_alias.hpp
multiply_slices.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
bleu.hpp
iou_metric.hpp
ip_metric.hpp
lmetric.hpp
mahalanobis_distance.hpp
non_maximal_supression.hpp
▶ tree
▶ binary_space_tree
binary_space_tree.hpp	Definition of generalized binary space partitioning tree (BinarySpaceTree)
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	Definition of generalized hybrid spill tree (SpillTree)
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
binding_details.hpp
deprecated.hpp
hyphenate_string.hpp
io.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
to_lower.hpp
version.hpp
▶ methods
▶ adaboost
adaboost.hpp
adaboost_model.hpp
▶ amf
▶ init_rules
average_init.hpp
given_init.hpp
merge_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
elish_function.hpp
elliot_function.hpp
gaussian_function.hpp
gelu_function.hpp
hard_sigmoid_function.hpp
identity_function.hpp
inverse_quadratic_function.hpp
lisht_function.hpp
logistic_function.hpp
mish_function.hpp
multi_quadratic_function.hpp
poisson1_function.hpp
quadratic_function.hpp
rectifier_function.hpp
softplus_function.hpp
softsign_function.hpp
spline_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
▶ dists
bernoulli_distribution.hpp
normal_distribution.hpp
▶ gan
▶ metrics
inception_score.hpp
gan.hpp
gan_policies.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
adaptive_max_pooling.hpp
adaptive_mean_pooling.hpp
add.hpp
add_merge.hpp
alpha_dropout.hpp
atrous_convolution.hpp
base_layer.hpp
batch_norm.hpp
bilinear_interpolation.hpp
c_relu.hpp
celu.hpp
concat.hpp
concat_performance.hpp
concatenate.hpp
constant.hpp
convolution.hpp
dropconnect.hpp
dropout.hpp
elu.hpp
fast_lstm.hpp
flexible_relu.hpp
glimpse.hpp
gru.hpp
hard_tanh.hpp
hardshrink.hpp
highway.hpp
join.hpp
layer.hpp
layer_norm.hpp
layer_traits.hpp
layer_types.hpp
leaky_relu.hpp
linear.hpp
linear3d.hpp
linear_no_bias.hpp
log_softmax.hpp
lookup.hpp
lstm.hpp
max_pooling.hpp
mean_pooling.hpp
minibatch_discrimination.hpp
multihead_attention.hpp
multiply_constant.hpp
multiply_merge.hpp
noisylinear.hpp
padding.hpp
parametric_relu.hpp
positional_encoding.hpp
radial_basis_function.hpp
recurrent.hpp
recurrent_attention.hpp
reinforce_normal.hpp
reparametrization.hpp
select.hpp
sequential.hpp
softmax.hpp
softmin.hpp
softshrink.hpp
spatial_dropout.hpp
subview.hpp
transposed_convolution.hpp
virtual_batch_norm.hpp
vr_class_reward.hpp
weight_norm.hpp
▶ loss_functions
cosine_embedding_loss.hpp
cross_entropy_error.hpp
dice_loss.hpp
earth_mover_distance.hpp
empty_loss.hpp
hinge_embedding_loss.hpp
huber_loss.hpp
kl_divergence.hpp
l1_loss.hpp
log_cosh_loss.hpp
margin_ranking_loss.hpp
mean_absolute_percentage_error.hpp
mean_bias_error.hpp
mean_squared_error.hpp
mean_squared_logarithmic_error.hpp
negative_log_likelihood.hpp
poisson_nll_loss.hpp
reconstruction_loss.hpp
sigmoid_cross_entropy_error.hpp
soft_margin_loss.hpp
▶ rbm
rbm.hpp
rbm_policies.hpp
▶ regularizer
lregularizer.hpp
no_regularizer.hpp
orthogonal_regularizer.hpp
regularizer.hpp
▶ visitor
add_visitor.hpp
backward_visitor.hpp
bias_set_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
loss_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
run_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
brnn.hpp
ffn.hpp
layer_names.hpp
rnn.hpp
▶ approx_kfn
drusilla_select.hpp
qdafn.hpp
▶ bayesian_linear_regression
bayesian_linear_regression.hpp
▶ bias_svd
bias_svd.hpp
bias_svd_function.hpp
▶ block_krylov_svd
randomized_block_krylov_svd.hpp
▶ cf
▶ decomposition_policies
batch_svd_method.hpp
bias_svd_method.hpp
nmf_method.hpp
randomized_svd_method.hpp
regularized_svd_method.hpp
svd_complete_method.hpp
svd_incomplete_method.hpp
svdplusplus_method.hpp
▶ interpolation_policies
average_interpolation.hpp
regression_interpolation.hpp
similarity_interpolation.hpp
▶ neighbor_search_policies
cosine_search.hpp
lmetric_search.hpp
pearson_search.hpp
▶ normalization
combined_normalization.hpp
item_mean_normalization.hpp
no_normalization.hpp
overall_mean_normalization.hpp
user_mean_normalization.hpp
z_score_normalization.hpp
cf.hpp
cf_model.hpp
svd_wrapper.hpp
▶ dbscan
dbscan.hpp
ordered_point_selection.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
diagonal_gmm.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
▶ kde
kde.hpp
kde_model.hpp
kde_rules.hpp
kde_stat.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
▶ linear_svm
linear_svm.hpp
linear_svm_function.hpp
▶ lmnn
constraints.hpp
lmnn.hpp
lmnn_function.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
▶ preprocess
scaling_model.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
acrobot.hpp
cart_pole.hpp
continuous_double_pole_cart.hpp
continuous_mountain_car.hpp
double_pole_cart.hpp
env_type.hpp
mountain_car.hpp
pendulum.hpp
reward_clipping.hpp
▶ policy
aggregated_policy.hpp
greedy_policy.hpp
▶ q_networks
categorical_dqn.hpp
dueling_dqn.hpp
simple_dqn.hpp
▶ replay
prioritized_replay.hpp
random_replay.hpp
sumtree.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
sac.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
▶ svdplusplus
svdplusplus.hpp
svdplusplus_function.hpp
▶ tests
▶ main_tests
hmm_test_utils.hpp
range_search_utils.hpp
test_helper.hpp
ann_test_tools.hpp
custom_layer.hpp
mock_categorical_data.hpp	Generate categorical dataset for tests
serialization.hpp
serialization_catch.hpp
test_catch_tools.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
prereqs.hpp	The core includes that mlpack expects; standard C++ includes and Armadillo