MeGaMix
v0.3.2
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API Reference
Theory of Gaussian Mixture models
MeGaMix
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Index
_
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A
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B
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C
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D
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F
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G
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I
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K
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L
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M
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N
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P
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R
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S
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V
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W
_
_inv_prec (DPVariationalGaussianMixture attribute)
(VariationalGaussianMixture attribute)
_is_initialized (DPVariationalGaussianMixture attribute)
(GaussianMixture attribute)
(Kmeans attribute)
(VariationalGaussianMixture attribute)
_log_det_inv_prec (DPVariationalGaussianMixture attribute)
(VariationalGaussianMixture attribute)
A
alpha (DPVariationalGaussianMixture attribute)
(VariationalGaussianMixture attribute)
B
beta (DPVariationalGaussianMixture attribute)
(VariationalGaussianMixture attribute)
C
convergence_criterion_data (DPVariationalGaussianMixture attribute)
(GaussianMixture attribute)
(VariationalGaussianMixture attribute)
convergence_criterion_test (DPVariationalGaussianMixture attribute)
(GaussianMixture attribute)
(VariationalGaussianMixture attribute)
cov (DPVariationalGaussianMixture attribute)
(GaussianMixture attribute)
,
[1]
(VariationalGaussianMixture attribute)
D
DPVariationalGaussianMixture (class in megamix.batch)
F
fit() (megamix.batch.DPVariationalGaussianMixture method)
(megamix.batch.GaussianMixture method)
(megamix.batch.Kmeans method)
(megamix.batch.VariationalGaussianMixture method)
(megamix.online.GaussianMixture method)
(megamix.online.Kmeans method)
G
GaussianMixture (class in megamix.batch)
(class in megamix.online)
get() (megamix.online.GaussianMixture method)
(megamix.online.Kmeans method)
I
initialize() (megamix.online.GaussianMixture method)
(megamix.online.Kmeans method)
iter (DPVariationalGaussianMixture attribute)
(GaussianMixture attribute)
,
[1]
(Kmeans attribute)
,
[1]
(VariationalGaussianMixture attribute)
K
Kmeans (class in megamix.batch)
(class in megamix.online)
L
log_weights (DPVariationalGaussianMixture attribute)
(GaussianMixture attribute)
,
[1]
(Kmeans attribute)
,
[1]
(VariationalGaussianMixture attribute)
M
means (DPVariationalGaussianMixture attribute)
(GaussianMixture attribute)
,
[1]
(Kmeans attribute)
,
[1]
(VariationalGaussianMixture attribute)
N
name (DPVariationalGaussianMixture attribute)
(GaussianMixture attribute)
,
[1]
(Kmeans attribute)
,
[1]
(VariationalGaussianMixture attribute)
nu (DPVariationalGaussianMixture attribute)
(VariationalGaussianMixture attribute)
P
predict_assignements() (megamix.batch.Kmeans method)
(megamix.online.Kmeans method)
predict_log_resp() (megamix.batch.DPVariationalGaussianMixture method)
(megamix.batch.GaussianMixture method)
(megamix.batch.VariationalGaussianMixture method)
(megamix.online.GaussianMixture method)
R
read_and_init() (megamix.batch.DPVariationalGaussianMixture method)
(megamix.batch.GaussianMixture method)
(megamix.batch.VariationalGaussianMixture method)
(megamix.online.GaussianMixture method)
S
score() (megamix.batch.DPVariationalGaussianMixture method)
(megamix.batch.GaussianMixture method)
(megamix.batch.Kmeans method)
(megamix.batch.VariationalGaussianMixture method)
(megamix.online.GaussianMixture method)
(megamix.online.Kmeans method)
simplified_model() (megamix.batch.DPVariationalGaussianMixture method)
(megamix.batch.GaussianMixture method)
(megamix.batch.VariationalGaussianMixture method)
V
VariationalGaussianMixture (class in megamix.batch)
W
write() (megamix.batch.DPVariationalGaussianMixture method)
(megamix.batch.GaussianMixture method)
(megamix.batch.VariationalGaussianMixture method)
(megamix.online.GaussianMixture method)
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