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SOMptimised 1.1
SOMptimised
Tutorial/Example
Train the SOM to predict the iris class
Predict sepal width
Of the importance of normalisation
Set and get extra parameters
Save and load SOM
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API
Learning strategy submodule
Metric submodule
Neighbourhood strategy submodule
API for the main som module
repository
open issue
Index
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__call__() (SOMptimised.learning_rate.ExponentialLearningStrategy method)
(SOMptimised.learning_rate.LearningStrategy method)
(SOMptimised.learning_rate.LinearLearningStrategy method)
(SOMptimised.neighbourhood.ConstantRadiusStrategy method)
(SOMptimised.neighbourhood.ExponentialRadiusStrategy method)
(SOMptimised.neighbourhood.NeighbourhoodStrategy method)
_check_int_float() (SOMptimised.learning_rate.LearningStrategy static method)
(SOMptimised.neighbourhood.NeighbourhoodStrategy static method)
_check_lr() (SOMptimised.learning_rate.LearningStrategy method)
_check_negative() (SOMptimised.learning_rate.LearningStrategy static method)
(SOMptimised.neighbourhood.NeighbourhoodStrategy static method)
_check_sigma() (SOMptimised.neighbourhood.NeighbourhoodStrategy method)
_compute_points_inertia() (SOMptimised.som.SOM method)
_find_bmu() (SOMptimised.som.SOM method)
_find_bmus() (SOMptimised.som.SOM method)
_find_bmus_bydata() (SOMptimised.som.SOM method)
_find_bmus_byweight() (SOMptimised.som.SOM method)
_get_locations() (SOMptimised.som.SOM method)
C
chi2CigaleMetric() (in module SOMptimised.metric)
chi2CigaleMetricPenalised() (in module SOMptimised.metric)
chi2Metric() (in module SOMptimised.metric)
chi2MetricPenalised() (in module SOMptimised.metric)
cluster_centers_ (SOMptimised.som.SOM property)
ConstantRadiusStrategy (class in SOMptimised.neighbourhood)
E
euclidianMetric() (in module SOMptimised.metric)
ExponentialLearningStrategy (class in SOMptimised.learning_rate)
ExponentialRadiusStrategy (class in SOMptimised.neighbourhood)
F
fit() (SOMptimised.som.SOM method)
fit_predict() (SOMptimised.som.SOM method)
fit_transform() (SOMptimised.som.SOM method)
G
get() (SOMptimised.som.SOM method)
I
inertia_ (SOMptimised.som.SOM property)
initial_lr (SOMptimised.learning_rate.LearningStrategy property)
L
LearningStrategy (class in SOMptimised.learning_rate)
LinearLearningStrategy (class in SOMptimised.learning_rate)
M
module
SOMptimised.learning_rate
SOMptimised.metric
SOMptimised.neighbourhood
SOMptimised.som
N
n_iter_ (SOMptimised.som.SOM property)
NeighbourhoodStrategy (class in SOMptimised.neighbourhood)
ntot (SOMptimised.learning_rate.LearningStrategy property)
P
predict() (SOMptimised.som.SOM method)
R
read() (SOMptimised.som.SOM static method)
S
set() (SOMptimised.som.SOM method)
sigma (SOMptimised.neighbourhood.NeighbourhoodStrategy property)
SOM (class in SOMptimised.som)
SOMptimised.learning_rate
module
SOMptimised.metric
module
SOMptimised.neighbourhood
module
SOMptimised.som
module
step() (SOMptimised.som.SOM method)
T
tau (SOMptimised.learning_rate.ExponentialLearningStrategy property)
(SOMptimised.neighbourhood.ExponentialRadiusStrategy property)
train_bmus_ (SOMptimised.som.SOM property)
transform() (SOMptimised.som.SOM method)
W
write() (SOMptimised.som.SOM method)