Index

_

__init__() (mlai.plot.layer method) (mlai.plot.network method)

A

add_layer() (mlai.plot.network method)

animate_covariance_function() (in module mlai.plot) ax_default() (in module mlai.gp_tutorial), [1]

B

base_plot() (in module mlai.plot) basis() (in module mlai.plot) bayes_billiard() (in module mlai.plot)

bayes_update() (in module mlai.plot) bernoulli_urn() (in module mlai.plot) blank_canvas() (in module mlai.plot) box() (in module mlai.plot)

C

clear_axes() (in module mlai.plot) computing_covariance() (in module mlai.plot) contour_error() (in module mlai.plot)

correlated_height_weight() (in module mlai.plot) covariance_capacity() (in module mlai.plot) covariance_func() (in module mlai.plot) cv_fit() (in module mlai.plot)

D

deep_nn() (in module mlai.plot) deep_nn_bottleneck() (in module mlai.plot) depth (mlai.plot.network property)

dist2() (in module mlai.plot) dppca_graphical_model() (in module mlai.plot) draw() (mlai.plot.network method)

G

gaussian_of_height() (in module mlai.plot) gaussian_volume_1D() (in module mlai.plot) gaussian_volume_2D() (in module mlai.plot)

gaussian_volume_3D() (in module mlai.plot) google_trends() (in module mlai.plot) gp_optimize_quadratic() (in module mlai.plot) gpplot() (in module mlai.gp_tutorial), [1]

H

height() (in module mlai.plot) height_weight() (in module mlai.plot)

holdout_fit() (in module mlai.plot) horizontal_chain() (in module mlai.plot) hyperplane_coordinates() (in module mlai.plot)

I

independent_height_weight() (in module mlai.plot)

init_perceptron_plot() (in module mlai.plot) init_regression() (in module mlai.plot)

K

kern_circular_sample() (in module mlai.plot) kronecker_IK() (in module mlai.plot)

kronecker_IK_highlight() (in module mlai.plot) kronecker_illustrate() (in module mlai.plot) kronecker_WX() (in module mlai.plot)

L

layer (class in mlai.plot) logistic() (in module mlai.plot)

loo_fit() (in module mlai.plot) low_rank_approximation() (in module mlai.plot)

M

marathon_fit() (in module mlai.plot) matrix() (in module mlai.plot) meanplot() (in module mlai.gp_tutorial), [1] mlai.gp_tutorial module, [1] mlai.plot module model_output() (in module mlai.plot)

model_sample() (in module mlai.plot) module mlai.gp_tutorial, [1] mlai.plot multi_output_animate_covariance_function() (in module mlai.plot) multi_output_covariance_func() (in module mlai.plot) multi_output_covariance_heatmap() (in module mlai.plot) multi_output_sample_plot() (in module mlai.plot) multiple_optima() (in module mlai.plot)

N

network (class in mlai.plot) neural_network() (in module mlai.plot)

non_linear_difficulty_plot_1() (in module mlai.plot) non_linear_difficulty_plot_2() (in module mlai.plot) non_linear_difficulty_plot_3() (in module mlai.plot)

O

output_augment_x() (in module mlai.plot)

over_determined_system() (in module mlai.plot)

P

perceptron() (in module mlai.plot) poisson() (in module mlai.plot)

ppca_graphical_model() (in module mlai.plot) pred_range() (in module mlai.plot) prob_diagram() (in module mlai.plot)

R

regression_contour() (in module mlai.plot) regression_contour_coordinate_descent() (in module mlai.plot) regression_contour_fit() (in module mlai.plot)

regression_contour_sgd() (in module mlai.plot) rejection_samples() (in module mlai.plot) rmse_fit() (in module mlai.plot)

S

shared_gplvm() (in module mlai.plot)

squared_distances() (in module mlai.plot) stack_gp_sample() (in module mlai.plot)

T

three_pillars_innovation() (in module mlai.plot) tsne_example() (in module mlai.plot)

two_point_pred() (in module mlai.plot) two_point_sample() (in module mlai.plot)

U

under_determined_system() (in module mlai.plot) update_perceptron_plot() (in module mlai.plot)

update_regression() (in module mlai.plot) update_regression_path() (in module mlai.plot)

V

vertical_chain() (in module mlai.plot) visualise_activation_summary() (in module mlai.plot)

visualise_decision_boundaries() (in module mlai.plot) visualise_relu_activations() (in module mlai.plot)

W

weight() (in module mlai.plot)

width (mlai.plot.network property)