This is the complete list of members for DataSet, including all inherited members.
calculate_autocorrelations(const Index &=10) const | DataSet | |
calculate_average_forest_paths(const Tensor< Tensor< type, 2 >, 1 > &, const Index &) const (defined in DataSet) | DataSet | private |
calculate_average_reachability(Tensor< list< Index >, 1 > &, const Index &) const (defined in DataSet) | DataSet | private |
calculate_bounding_boxes_neighbors(const Tensor< Tensor< type, 1 >, 1 > &, const Tensor< Index, 1 > &, const Index &, const Index &) const (defined in DataSet) | DataSet | private |
calculate_columns_box_plots() const | DataSet | |
calculate_columns_descriptives_categories(const Index &) const | DataSet | |
calculate_columns_descriptives_negative_samples() const | DataSet | |
calculate_columns_descriptives_positive_samples() const | DataSet | |
calculate_columns_descriptives_selection_samples() const | DataSet | |
calculate_columns_descriptives_training_samples() const | DataSet | |
calculate_columns_distribution(const Index &=10) const | DataSet | |
calculate_cross_correlations(const Index &=10) const | DataSet | |
calculate_distance_matrix(const Tensor< Index, 1 > &) const (defined in DataSet) | DataSet | private |
calculate_euclidean_distance(const Tensor< Index, 1 > &, const Index &, const Index &) const (defined in DataSet) | DataSet | private |
calculate_input_columns_correlations() const | DataSet | |
calculate_input_target_columns_correlations() const | DataSet | |
calculate_input_variables_descriptives() const | DataSet | |
calculate_input_variables_maximums() const | DataSet | |
calculate_input_variables_minimums() const | DataSet | |
calculate_isolation_forest_outliers(const Index &=100, const Index &=256, const type &=type(0)) const (defined in DataSet) | DataSet | |
calculate_k_nearest_neighbors(const Tensor< type, 2 > &, const Index &=20) const (defined in DataSet) | DataSet | private |
calculate_kd_tree_neighbors(const Index &=20, const Index &=40) const (defined in DataSet) | DataSet | private |
calculate_local_outlier_factor(Tensor< list< Index >, 1 > &, const Tensor< type, 1 > &, const Index &) const (defined in DataSet) | DataSet | private |
calculate_local_outlier_factor_outliers(const Index &=20, const Index &=0, const type &=type(0)) const | DataSet | |
calculate_min_max_indices_list(list< Index > &, const Index &, type &, type &) const (defined in DataSet) | DataSet | private |
calculate_selection_negatives(const Index &) const | DataSet | |
calculate_selection_targets_mean() const | DataSet | |
calculate_target_distribution() const | DataSet | |
calculate_target_variables_descriptives() const | DataSet | |
calculate_target_variables_maximums() const | DataSet | |
calculate_target_variables_minimums() const | DataSet | |
calculate_testing_negatives(const Index &) const | DataSet | |
calculate_testing_target_variables_descriptives() const (defined in DataSet) | DataSet | |
calculate_training_negatives(const Index &) const | DataSet | |
calculate_tree_path(const Tensor< type, 2 > &, const Index &, const Index &) const (defined in DataSet) | DataSet | private |
calculate_Tukey_outliers(const type &=type(1.5)) const | DataSet | |
calculate_used_negatives(const Index &) const | DataSet | |
calculate_used_targets_mean() const (defined in DataSet) | DataSet | |
calculate_used_variables_descriptives() const | DataSet | |
calculate_used_variables_minimums() const | DataSet | |
calculate_variables_descriptives() const | DataSet | |
calculate_variables_means(const Tensor< Index, 1 > &) const | DataSet | |
check_input_csv(const string &, const char &) const | DataSet | |
check_separators(const string &) const (defined in DataSet) | DataSet | |
check_special_characters(const string &) const (defined in DataSet) | DataSet | |
columns (defined in DataSet) | DataSet | private |
columns_missing_values_number (defined in DataSet) | DataSet | private |
ColumnType enum name | DataSet | |
count_nan() const (defined in DataSet) | DataSet | |
count_nan_columns() const (defined in DataSet) | DataSet | |
count_rows_with_nan() const (defined in DataSet) | DataSet | |
create_bounding_limits_kd_tree(const Index &) const (defined in DataSet) | DataSet | private |
create_isolation_forest(const Index &, const Index &, const Index &) const (defined in DataSet) | DataSet | private |
create_isolation_tree(const Tensor< Index, 1 > &, const Index &) const (defined in DataSet) | DataSet | private |
create_kd_tree(Tensor< Tensor< type, 1 >, 1 > &, const Tensor< Tensor< Index, 1 >, 1 > &) const (defined in DataSet) | DataSet | private |
data | DataSet | private |
data_file_name | DataSet | private |
data_file_preview (defined in DataSet) | DataSet | private |
DataSet() | DataSet | explicit |
DataSet(const Tensor< type, 2 > &) | DataSet | explicit |
DataSet(const Index &, const Index &) | DataSet | explicit |
DataSet(const Index &, const Index &, const Index &) | DataSet | explicit |
DataSet(const string &, const char &, const bool &) | DataSet | explicit |
display | DataSet | private |
fill_time_series(const Index &) (defined in DataSet) | DataSet | |
filter_data(const Tensor< type, 1 > &, const Tensor< type, 1 > &) | DataSet | |
fix_repeated_names() (defined in DataSet) | DataSet | |
from_XML(const tinyxml2::XMLDocument &) (defined in DataSet) | DataSet | |
generate_constant_data(const Index &, const Index &, const type &) | DataSet | |
generate_random_data(const Index &, const Index &) | DataSet | |
generate_Rosenbrock_data(const Index &, const Index &) | DataSet | |
generate_sequential_data(const Index &, const Index &) | DataSet | |
generate_sum_data(const Index &, const Index &) (defined in DataSet) | DataSet | |
get_batches(const Tensor< Index, 1 > &, const Index &, const bool &, const Index &buffer_size=100) const | DataSet | |
get_column_data(const Index &) const | DataSet | |
get_column_data(const Index &, const Tensor< Index, 1 > &) const | DataSet | |
get_column_data(const Tensor< Index, 1 > &) const (defined in DataSet) | DataSet | |
get_column_data(const string &) const | DataSet | |
get_column_index(const string &) const | DataSet | |
get_column_index(const Index &) const | DataSet | |
get_column_type(const Index &index) const (defined in DataSet) | DataSet | inline |
get_column_use(const Index &) const | DataSet | |
get_columns() const | DataSet | |
get_columns_names() const | DataSet | |
get_columns_number() const | DataSet | |
get_columns_scalers() const (defined in DataSet) | DataSet | |
get_columns_uses() const | DataSet | |
get_data() const | DataSet | |
get_data_file_name() const | DataSet | |
get_data_file_preview() const (defined in DataSet) | DataSet | |
get_data_pointer() (defined in DataSet) | DataSet | |
get_default_columns_names(const Index &) (defined in DataSet) | DataSet | static |
get_display() const | DataSet | |
get_gmt() const | DataSet | |
get_has_rows_labels() const (defined in DataSet) | DataSet | |
get_header_line() const | DataSet | |
get_input_columns() const | DataSet | |
get_input_columns_binary() const | DataSet | |
get_input_columns_indices() const | DataSet | |
get_input_columns_names() const | DataSet | |
get_input_columns_number() const | DataSet | |
get_input_data() const | DataSet | |
get_input_data(const Tensor< Index, 1 > &) const | DataSet | |
get_input_time_series_columns_indices() const (defined in DataSet) | DataSet | |
get_input_time_series_columns_number() const (defined in DataSet) | DataSet | |
get_input_variables_dimensions() const | DataSet | |
get_input_variables_indices() const | DataSet | |
get_input_variables_names() const | DataSet | |
get_input_variables_number() const | DataSet | |
get_input_variables_rank() const (defined in DataSet) | DataSet | |
get_input_variables_scalers() const (defined in DataSet) | DataSet | |
get_kd_tree_data() const (defined in DataSet) | DataSet | private |
get_lags_number() const | DataSet | |
get_missing_values_label() const | DataSet | |
get_missing_values_method() const | DataSet | |
get_rows_label() const | DataSet | |
get_rows_label_tensor() const (defined in DataSet) | DataSet | |
get_sample_data(const Index &) const | DataSet | |
get_sample_data(const Index &, const Tensor< Index, 1 > &) const | DataSet | |
get_sample_input_data(const Index &) const | DataSet | |
get_sample_string(const Index &, const string &=",") const | DataSet | |
get_sample_target_data(const Index &) const | DataSet | |
get_sample_use(const Index &) const | DataSet | |
get_samples_number() const (defined in DataSet) | DataSet | inline |
get_samples_uses() const | DataSet | |
get_samples_uses_numbers() const | DataSet | |
get_samples_uses_percentages() const | DataSet | |
get_scaling_unscaling_method(const string &) | DataSet | static |
get_selection_data() const | DataSet | |
get_selection_input_data() const | DataSet | |
get_selection_rows_label_tensor() (defined in DataSet) | DataSet | |
get_selection_samples_indices() const | DataSet | |
get_selection_samples_number() const | DataSet | |
get_selection_target_data() const | DataSet | |
get_separator() const | DataSet | |
get_separator_char() const | DataSet | |
get_separator_string() const | DataSet | |
get_steps_ahead() const | DataSet | |
get_subtensor_data(const Tensor< Index, 1 > &, const Tensor< Index, 1 > &) const (defined in DataSet) | DataSet | |
get_target_columns() const | DataSet | |
get_target_columns_indices() const | DataSet | |
get_target_columns_names() const | DataSet | |
get_target_columns_number() const | DataSet | |
get_target_data() const | DataSet | |
get_target_data(const Tensor< Index, 1 > &) const | DataSet | |
get_target_time_series_columns_indices() const (defined in DataSet) | DataSet | |
get_target_time_series_columns_number() const (defined in DataSet) | DataSet | |
get_target_variables_indices() const | DataSet | |
get_target_variables_names() const | DataSet | |
get_target_variables_number() const | DataSet | |
get_target_variables_scalers() const (defined in DataSet) | DataSet | |
get_testing_data() const | DataSet | |
get_testing_input_data() const | DataSet | |
get_testing_rows_label_tensor() (defined in DataSet) | DataSet | |
get_testing_samples_indices() const | DataSet | |
get_testing_samples_number() const | DataSet | |
get_testing_target_data() const | DataSet | |
get_time_column() const | DataSet | |
get_time_columns_number() const | DataSet | |
get_time_series_column_data(const Index &) const | DataSet | |
get_time_series_columns() const (defined in DataSet) | DataSet | |
get_time_series_columns_names() const (defined in DataSet) | DataSet | |
get_time_series_columns_number() const | DataSet | |
get_time_series_columns_number(const Index &) (defined in DataSet) | DataSet | |
get_time_series_data() const | DataSet | |
get_time_series_data_rows_number() const (defined in DataSet) | DataSet | |
get_time_series_time_column_index() const (defined in DataSet) | DataSet | |
get_time_series_variables_names() const | DataSet | |
get_time_series_variables_number() const | DataSet | |
get_training_data() const | DataSet | |
get_training_input_data() const | DataSet | |
get_training_samples_indices() const | DataSet | |
get_training_samples_number() const | DataSet | |
get_training_target_data() const | DataSet | |
get_unused_columns_indices() const | DataSet | |
get_unused_columns_number() const | DataSet | |
get_unused_samples_indices() const | DataSet | |
get_unused_samples_number() const | DataSet | |
get_unused_variables_indices() const | DataSet | |
get_unused_variables_number() const | DataSet | |
get_used_columns() const | DataSet | |
get_used_columns_indices() const | DataSet | |
get_used_columns_names() const | DataSet | |
get_used_columns_number() const | DataSet | |
get_used_samples_indices() const | DataSet | |
get_used_samples_number() const | DataSet | |
get_used_variables_indices() const | DataSet | |
get_used_variables_number() const | DataSet | |
get_variable_data(const Index &) const | DataSet | |
get_variable_data(const string &) const | DataSet | |
get_variable_data(const Index &, const Tensor< Index, 1 > &) const | DataSet | |
get_variable_data(const string &, const Tensor< Index, 1 > &) const | DataSet | |
get_variable_index(const string &name) const | DataSet | |
get_variable_indices(const Index &) const | DataSet | |
get_variable_name(const Index &) const | DataSet | |
get_variable_use(const Index &) const | DataSet | |
get_variables_names() const | DataSet | |
get_variables_number() const | DataSet | |
get_variables_uses() const | DataSet | |
gmt (defined in DataSet) | DataSet | private |
has_binary_columns() const (defined in DataSet) | DataSet | |
has_categorical_columns() const (defined in DataSet) | DataSet | |
has_columns_names | DataSet | private |
has_nan() const | DataSet | |
has_nan_row(const Index &) const | DataSet | |
has_rows_labels | DataSet | private |
has_selection() const (defined in DataSet) | DataSet | |
has_time_columns() const (defined in DataSet) | DataSet | |
has_time_time_series_columns() const (defined in DataSet) | DataSet | |
impute_missing_values_mean() | DataSet | |
impute_missing_values_median() | DataSet | |
impute_missing_values_unuse() | DataSet | |
initialize_sequential(Tensor< Index, 1 > &, const Index &, const Index &, const Index &) const (defined in DataSet) | DataSet | |
input_variables_dimensions (defined in DataSet) | DataSet | private |
intialize_sequential(Tensor< type, 1 > &, const type &, const type &, const type &) const (defined in DataSet) | DataSet | |
is_empty() const | DataSet | |
is_sample_unused(const Index &) const | DataSet | |
is_sample_used(const Index &) const | DataSet | |
lags_number | DataSet | private |
load(const string &) | DataSet | |
load_data_binary() | DataSet | |
load_time_series_data_binary(const string &) | DataSet | |
missing_values_label | DataSet | private |
missing_values_method | DataSet | private |
missing_values_number | DataSet | private |
MissingValuesMethod enum name | DataSet | |
print() const | DataSet | |
print_columns() const (defined in DataSet) | DataSet | |
print_columns_types() const (defined in DataSet) | DataSet | |
print_columns_uses() const (defined in DataSet) | DataSet | |
print_data() const | DataSet | |
print_data_file_preview() const (defined in DataSet) | DataSet | |
print_data_preview() const | DataSet | |
print_input_target_columns_correlations() const | DataSet | |
print_inputs_correlations() const | DataSet | |
print_missing_values_information() const | DataSet | |
print_top_input_target_columns_correlations() const | DataSet | |
print_top_inputs_correlations() const | DataSet | |
product_vector_vector (defined in DataSet) | DataSet | private |
ProjectType enum name | DataSet | |
push_back(const Tensor< Index, 1 > &, const Index &) const (defined in DataSet) | DataSet | |
push_back(const Tensor< string, 1 > &, const string &) const (defined in DataSet) | DataSet | |
read_csv() (defined in DataSet) | DataSet | |
read_csv_1() (defined in DataSet) | DataSet | |
read_csv_2_complete() (defined in DataSet) | DataSet | |
read_csv_2_simple() (defined in DataSet) | DataSet | |
read_csv_3_complete() (defined in DataSet) | DataSet | |
read_csv_3_simple() (defined in DataSet) | DataSet | |
read_input_csv(const string &, const char &, const string &, const bool &, const bool &) const | DataSet | |
rows_labels (defined in DataSet) | DataSet | private |
rows_missing_values_number (defined in DataSet) | DataSet | private |
samples_uses (defined in DataSet) | DataSet | private |
SampleUse enum name | DataSet | |
save(const string &) const | DataSet | |
save_data() const | DataSet | |
save_data_binary(const string &) const | DataSet | |
save_time_series_data_binary(const string &) const | DataSet | |
scale_data() (defined in DataSet) | DataSet | |
scale_input_variables() | DataSet | |
scale_target_variables() | DataSet | |
scrub_missing_values() | DataSet | |
select_outliers_via_contamination(const Tensor< type, 1 > &, const type &=type(0.05), bool=true) const (defined in DataSet) | DataSet | private |
select_outliers_via_standard_deviation(const Tensor< type, 1 > &, const type &=type(2.0), bool=true) const (defined in DataSet) | DataSet | private |
Separator enum name | DataSet | |
separator | DataSet | private |
set() | DataSet | |
set(const Tensor< type, 2 > &) | DataSet | |
set(const Index &, const Index &) | DataSet | |
set(const Index &, const Index &, const Index &) | DataSet | |
set(const DataSet &) | DataSet | |
set(const tinyxml2::XMLDocument &) | DataSet | |
set(const string &) | DataSet | |
set(const string &, const char &, const bool &) (defined in DataSet) | DataSet | |
set_binary_simple_columns() (defined in DataSet) | DataSet | |
set_column_name(const Index &, const string &) | DataSet | |
set_column_type(const Index &, const ColumnType &) (defined in DataSet) | DataSet | |
set_column_type(const string &, const ColumnType &) (defined in DataSet) | DataSet | |
set_column_use(const Index &, const VariableUse &) | DataSet | |
set_column_use(const string &, const VariableUse &) | DataSet | |
set_columns(const Tensor< Column, 1 > &) (defined in DataSet) | DataSet | |
set_columns_missing_values_number(const Tensor< Index, 1 > &) (defined in DataSet) | DataSet | |
set_columns_missing_values_number() (defined in DataSet) | DataSet | |
set_columns_names(const Tensor< string, 1 > &) | DataSet | |
set_columns_number(const Index &) | DataSet | |
set_columns_scalers(const Scaler &) (defined in DataSet) | DataSet | |
set_columns_unused() | DataSet | |
set_columns_uses(const Tensor< string, 1 > &) | DataSet | |
set_columns_uses(const Tensor< VariableUse, 1 > &) | DataSet | |
set_data(const Tensor< type, 2 > &) | DataSet | |
set_data_binary_random() | DataSet | |
set_data_constant(const type &) | DataSet | |
set_data_file_name(const string &) | DataSet | |
set_data_random() | DataSet | |
set_default() | DataSet | |
set_default_columns_names() | DataSet | |
set_default_columns_scalers() | DataSet | |
set_default_columns_uses() | DataSet | |
set_display(const bool &) | DataSet | |
set_gmt(Index &) | DataSet | |
set_has_columns_names(const bool &) | DataSet | |
set_has_rows_label(const bool &) | DataSet | |
set_input() | DataSet | |
set_input_columns(const Tensor< Index, 1 > &, const Tensor< bool, 1 > &) (defined in DataSet) | DataSet | |
set_input_columns_unused() | DataSet | |
set_input_target_columns(const Tensor< Index, 1 > &, const Tensor< Index, 1 > &) (defined in DataSet) | DataSet | |
set_input_variables_dimensions(const Tensor< Index, 1 > &) | DataSet | |
set_lags_number(const Index &) | DataSet | |
set_missing_values_label(const string &) | DataSet | |
set_missing_values_method(const MissingValuesMethod &) | DataSet | |
set_missing_values_method(const string &) (defined in DataSet) | DataSet | |
set_missing_values_number(const Index &) (defined in DataSet) | DataSet | |
set_missing_values_number() (defined in DataSet) | DataSet | |
set_rows_missing_values_number(const Index &) (defined in DataSet) | DataSet | |
set_rows_missing_values_number() (defined in DataSet) | DataSet | |
set_sample_use(const Index &, const SampleUse &) | DataSet | |
set_sample_use(const Index &, const string &) | DataSet | |
set_samples_number(const Index &) | DataSet | |
set_samples_unused() | DataSet | |
set_samples_unused(const Tensor< Index, 1 > &) | DataSet | |
set_samples_uses(const Tensor< SampleUse, 1 > &) | DataSet | |
set_samples_uses(const Tensor< string, 1 > &) | DataSet | |
set_selection() | DataSet | |
set_selection(const Tensor< Index, 1 > &) | DataSet | |
set_separator(const Separator &) | DataSet | |
set_separator(const string &) | DataSet | |
set_separator(const char &) | DataSet | |
set_steps_ahead_number(const Index &) | DataSet | |
set_target() | DataSet | |
set_testing() | DataSet | |
set_testing(const Tensor< Index, 1 > &) | DataSet | |
set_threads_number(const int &) (defined in DataSet) | DataSet | |
set_time_column(const string &) | DataSet | |
set_time_series_columns_number(const Index &) (defined in DataSet) | DataSet | |
set_time_series_data(const Tensor< type, 2 > &) (defined in DataSet) | DataSet | |
set_training() | DataSet | |
set_training(const Tensor< Index, 1 > &) | DataSet | |
set_variable_name(const Index &, const string &) | DataSet | |
set_variables_names(const Tensor< string, 1 > &) | DataSet | |
set_variables_unused() | DataSet | |
shuffle() (defined in DataSet) | DataSet | |
split_isolation_tree(Tensor< type, 2 > &, list< list< Index > > &, list< Index > &) const (defined in DataSet) | DataSet | private |
split_samples(const Tensor< Index, 1 > &, const Index &) const (defined in DataSet) | DataSet | |
split_samples_random(const type &training_ratio=static_cast< type >(0.6), const type &selection_ratio=static_cast< type >(0.2), const type &testing_ratio=static_cast< type >(0.2)) | DataSet | |
split_samples_sequential(const type &training_ratio=static_cast< type >(0.6), const type &selection_ratio=static_cast< type >(0.2), const type &testing_ratio=static_cast< type >(0.2)) | DataSet | |
steps_ahead | DataSet | private |
thread_pool (defined in DataSet) | DataSet | private |
thread_pool_device (defined in DataSet) | DataSet | private |
time_column | DataSet | private |
time_series_columns (defined in DataSet) | DataSet | private |
time_series_data | DataSet | private |
transform_binary_column(const Tensor< type, 1 > &) const (defined in DataSet) | DataSet | |
transform_time_series() | DataSet | |
transform_time_series_columns() | DataSet | |
transform_time_series_data() (defined in DataSet) | DataSet | |
unscale_data(const Tensor< Descriptives, 1 > &) (defined in DataSet) | DataSet | |
unscale_input_variables(const Tensor< Descriptives, 1 > &) | DataSet | |
unscale_target_variables(const Tensor< Descriptives, 1 > &) | DataSet | |
unuse_constant_columns() | DataSet | |
unuse_isolation_forest_outliers(const Index &=20, const type &=type(1.5)) (defined in DataSet) | DataSet | |
unuse_local_outlier_factor_outliers(const Index &=20, const type &=type(1.5)) (defined in DataSet) | DataSet | |
unuse_repeated_samples() | DataSet | |
unuse_Tukey_outliers(const type &=type(1.5)) | DataSet | |
unuse_uncorrelated_columns(const type &=type(0.25)) | DataSet | |
VariableUse enum name | DataSet | |
write_XML(tinyxml2::XMLPrinter &) const | DataSet | |
~DataSet() | DataSet | virtual |