Index

_

__call__() (skbel.algorithms.statistics.KDE method) __init__() (skbel.algorithms.statistics.KDE method) (skbel.BEL method), [1] (skbel.learning.bel.BEL method) (skbel.preprocessing.composite.CompositePCA method) (skbel.preprocessing.composite.CompositeTransformer method) (skbel.preprocessing.composite.Dummy method) (skbel.preprocessing.dct.DiscreteCosineTransform2D method) (skbel.tmaps.transport_map.TransportMap method) (skbel.tmaps.transport_map.TransportMap.Rectifier method) _cca_plot() (in module skbel.goggles.visualization) _define_support_bivariate() (skbel.algorithms.statistics.KDE method) _define_support_grid() (skbel.algorithms.statistics.KDE static method) _define_support_univariate() (skbel.algorithms.statistics.KDE method)

_despine() (in module skbel.goggles.visualization) _eval_bivariate() (skbel.algorithms.statistics.KDE method) _eval_univariate() (skbel.algorithms.statistics.KDE method) _fit() (skbel.algorithms.statistics.KDE method) _my_alphabet() (in module skbel.goggles.visualization) _proxy_annotate() (in module skbel.goggles.visualization) _proxy_legend() (in module skbel.goggles.visualization) _sklearn_auto_wrap_output_keys (skbel.BEL attribute), [1] (skbel.learning.bel.BEL attribute) (skbel.preprocessing.composite.CompositePCA attribute) (skbel.preprocessing.composite.CompositeTransformer attribute) (skbel.preprocessing.composite.Dummy attribute) (skbel.preprocessing.dct.DiscreteCosineTransform2D attribute) _yield_alphabet() (in module skbel.goggles.visualization)

B

BEL (class in skbel), [1] (class in skbel.learning.bel)

block_shaped() (in module skbel.spatial.spatial) blocks_from_rc() (in module skbel.spatial.spatial) blocks_from_rc_3d() (in module skbel.spatial.spatial)

C

calculate_special_term_locations() (skbel.tmaps.transport_map.TransportMap method) cca_pc_transform() (skbel.BEL method), [1] (skbel.learning.bel.BEL method) cca_vision() (in module skbel.goggles.visualization) check_for_special_terms() (skbel.tmaps.transport_map.TransportMap method)

check_inputs() (skbel.tmaps.transport_map.TransportMap method) combinator() (in module skbel.utils.utils) CompositePCA (class in skbel.preprocessing.composite) CompositeTransformer (class in skbel.preprocessing.composite) contour_extract() (in module skbel.spatial.spatial) contours_vertices() (in module skbel.spatial.spatial)

D

data_read() (in module skbel.utils.utils) define_support() (skbel.algorithms.statistics.KDE method)

dirmaker() (in module skbel.utils.utils) DiscreteCosineTransform2D (class in skbel.preprocessing.dct) Dummy (class in skbel.preprocessing.composite)

E

evaluate() (skbel.tmaps.transport_map.TransportMap.Rectifier method) evaluate_dfdc() (skbel.tmaps.transport_map.TransportMap.Rectifier method)

evaluate_dx() (skbel.tmaps.transport_map.TransportMap.Rectifier method) explained_variance() (in module skbel.goggles.visualization)

F

fit() (skbel.BEL method), [1] (skbel.learning.bel.BEL method) (skbel.preprocessing.composite.CompositePCA method) (skbel.preprocessing.composite.CompositeTransformer method) (skbel.preprocessing.composite.Dummy method) (skbel.preprocessing.dct.DiscreteCosineTransform2D method) fit_transform() (skbel.BEL method), [1] (skbel.learning.bel.BEL method) (skbel.preprocessing.composite.CompositePCA method) (skbel.preprocessing.composite.CompositeTransformer method) (skbel.preprocessing.composite.Dummy method) (skbel.preprocessing.dct.DiscreteCosineTransform2D method)

flatten_array() (in module skbel.utils.utils) folder_reset() (in module skbel.utils.utils) Function (in module skbel.utils.utils) function_constructor_alternative() (skbel.tmaps.transport_map.TransportMap method) function_derivative_constructor_alternative() (skbel.tmaps.transport_map.TransportMap method)

G

gauss_quadrature() (skbel.tmaps.transport_map.TransportMap method) get_block() (in module skbel.algorithms.extmath)

get_centroids() (in module skbel.spatial.spatial) grid_parameters() (in module skbel.spatial.spatial)

I

init_bel() (in module skbel.testing.test_basic) inverse() (skbel.tmaps.transport_map.TransportMap.Rectifier method) inverse_map() (skbel.tmaps.transport_map.TransportMap method) inverse_transform() (skbel.BEL method), [1] (skbel.learning.bel.BEL method) (skbel.preprocessing.composite.CompositePCA method) (skbel.preprocessing.composite.CompositeTransformer method) (skbel.preprocessing.composite.Dummy method) (skbel.preprocessing.dct.DiscreteCosineTransform2D method)

it_sampling() (in module skbel.algorithms.statistics)

K

KDE (class in skbel.algorithms.statistics) kde_init() (skbel.BEL method), [1] (skbel.learning.bel.BEL method)

kde_params() (in module skbel.algorithms.statistics)

L

logevaluate() (skbel.tmaps.transport_map.TransportMap.Rectifier method)

M

map() (skbel.tmaps.transport_map.TransportMap method) matrix_paste() (in module skbel.algorithms.extmath) module skbel, [1] skbel.algorithms.extmath skbel.algorithms.statistics skbel.goggles.visualization skbel.learning.bel skbel.preprocessing.composite skbel.preprocessing.dct skbel.spatial.spatial skbel.testing.test_basic skbel.tmaps.transport_map skbel.utils.utils

mvn_inference() (in module skbel.algorithms.statistics)

N

n_posts (skbel.BEL property), [1] (skbel.learning.bel.BEL property)

normalize() (in module skbel.algorithms.statistics)

O

objective_function() (skbel.tmaps.transport_map.TransportMap method)

objective_function_jacobian() (skbel.tmaps.transport_map.TransportMap method) optimize() (skbel.tmaps.transport_map.TransportMap method)

P

pca_scores() (in module skbel.goggles.visualization) posterior_conditional() (in module skbel.algorithms.statistics)

precalculate() (skbel.tmaps.transport_map.TransportMap method) predict() (skbel.BEL method), [1] (skbel.learning.bel.BEL method)

R

random_sample() (skbel.BEL method), [1] (skbel.learning.bel.BEL method) random_state (skbel.BEL property), [1] (skbel.learning.bel.BEL property)

rc_from_blocks() (in module skbel.spatial.spatial) refine_axis() (in module skbel.spatial.spatial) refine_machine() (in module skbel.spatial.spatial) remove_outliers() (in module skbel.algorithms.statistics) reset() (skbel.tmaps.transport_map.TransportMap method)

S

s() (skbel.tmaps.transport_map.TransportMap method) seed (skbel.BEL property), [1] (skbel.learning.bel.BEL property) set_fit_request() (skbel.preprocessing.composite.CompositePCA method) (skbel.preprocessing.composite.CompositeTransformer method) set_inverse_transform_request() (skbel.BEL method), [1] (skbel.learning.bel.BEL method) (skbel.preprocessing.composite.CompositePCA method) (skbel.preprocessing.composite.CompositeTransformer method) set_predict_request() (skbel.BEL method), [1] (skbel.learning.bel.BEL method) set_transform_request() (skbel.preprocessing.composite.CompositePCA method) (skbel.preprocessing.composite.CompositeTransformer method) skbel module, [1] skbel.algorithms.extmath module

skbel.algorithms.statistics module skbel.goggles.visualization module skbel.learning.bel module skbel.preprocessing.composite module skbel.preprocessing.dct module skbel.spatial.spatial module skbel.testing.test_basic module skbel.tmaps.transport_map module skbel.utils.utils module

T

test_kde() (in module skbel.testing.test_basic) test_mvn() (in module skbel.testing.test_basic) test_tm() (in module skbel.testing.test_basic) transform() (skbel.BEL method), [1] (skbel.learning.bel.BEL method) (skbel.preprocessing.composite.CompositePCA method) (skbel.preprocessing.composite.CompositeTransformer method) (skbel.preprocessing.composite.Dummy method) (skbel.preprocessing.dct.DiscreteCosineTransform2D method)

TransportMap (class in skbel.tmaps.transport_map) TransportMap.Rectifier (class in skbel.tmaps.transport_map)

V

vectorized_root_search_bisection() (skbel.tmaps.transport_map.TransportMap method)

W

worker_task() (skbel.tmaps.transport_map.TransportMap method)

worker_task_monotone() (skbel.tmaps.transport_map.TransportMap method) write_basis_function() (skbel.tmaps.transport_map.TransportMap method)

X

x_observation (skbel.BEL property), [1] (skbel.learning.bel.BEL property) x_pre_processed (skbel.BEL property), [1] (skbel.learning.bel.BEL property)

X_shape (skbel.BEL property), [1] (skbel.learning.bel.BEL property)

Y

y_pre_processed (skbel.BEL property), [1] (skbel.learning.bel.BEL property)

Y_shape (skbel.BEL property), [1] (skbel.learning.bel.BEL property)