Index

A

argmax_MI() (in module dataTools)

assignment (unsupervised.Kmeans attribute)

C

centroids (unsupervised.Kmeans attribute)

D

d (unsupervised.GaussianMixture attribute) (unsupervised.Kmeans attribute) data (unsupervised.Kmeans attribute)

data_normalization() (in module dataTools) dataTools (module) draw() (unsupervised.GaussianMixture method) (unsupervised.Kmeans method)

F

format_labels() (supervised.kernelLogisticRegression method) (supervised.kernelSVM method)

format_preds() (in module dataTools)

G

GaussianMixture (class in unsupervised)

get_MI() (in module dataTools)

I

ind (unsupervised.Kmeans attribute)

isotropic (unsupervised.GaussianMixture attribute)

K

K (unsupervised.GaussianMixture attribute) (unsupervised.Kmeans attribute) kernelKNN (class in supervised)

kernelLogisticRegression (class in supervised) kernelSVM (class in supervised) Kmeans (class in unsupervised)

L

load_data() (in module dataTools)

M

MI_dimRed() (in module dataTools)

mu (unsupervised.GaussianMixture attribute)

N

n (unsupervised.GaussianMixture attribute)

N (unsupervised.Kmeans attribute)

P

pi (unsupervised.GaussianMixture attribute) predict() (supervised.kernelLogisticRegression method) (supervised.kernelSVM method) (unsupervised.GaussianMixture method)

print_log_likelihood() (unsupervised.GaussianMixture method) printResults() (unsupervised.GaussianMixture method)

R

run() (unsupervised.Kmeans method)

S

sigma (unsupervised.GaussianMixture attribute)

stats() (unsupervised.Kmeans method) supervised (module)

T

train() (supervised.kernelKNN method) (supervised.kernelLogisticRegression method) (supervised.kernelSVM method) (unsupervised.GaussianMixture method)

U

unsupervised (module)

V

voting() (in module dataTools)