Index

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__init__() (qualia_plugin_som.learningmodel.pytorch.layers.NormalizeMinMax.NormalizeMinMax method) (qualia_plugin_som.learningmodel.pytorch.layers.QuantizedNormalizeMinMax.QuantizedNormalizeMinMax method)

B

batch_size (qualia_plugin_som.typing.SOMModelConfigDict attribute)

D

disabled (qualia_plugin_som.typing.SOMModelConfigDict attribute)

DSOMLayerParamsConfigDict (class in qualia_plugin_som.typing)

E

elasticity (qualia_plugin_som.typing.DSOMLayerParamsConfigDict attribute)

epochs (qualia_plugin_som.typing.SOMModelConfigDict attribute) evaluate (qualia_plugin_som.typing.SOMModelConfigDict attribute)

F

forward() (qualia_plugin_som.learningmodel.pytorch.layers.NormalizeMinMax.NormalizeMinMax method) (qualia_plugin_som.learningmodel.pytorch.layers.QuantizedNormalizeMinMax.QuantizedNormalizeMinMax method)

G

get_hyperparams_tensor() (qualia_plugin_som.learningmodel.pytorch.layers.QuantizedNormalizeMinMax.QuantizedNormalizeMinMax method)

I

input_shape (qualia_plugin_som.typing.SOMModelParamsConfigDict attribute)

K

kind (qualia_plugin_som.typing.SOMLayerConfigDict attribute) (qualia_plugin_som.typing.SOMModelConfigDict attribute)

KSOMLayerParamsConfigDict (class in qualia_plugin_som.typing)

L

label_sigma (qualia_plugin_som.typing.SOMModelParamsConfigDict attribute) learning_rate (qualia_plugin_som.typing.DSOMLayerParamsConfigDict attribute) (qualia_plugin_som.typing.KSOMLayerParamsConfigDict attribute)

load (qualia_plugin_som.typing.SOMModelConfigDict attribute)

M

module qualia_plugin_som, [1] qualia_plugin_som.learningmodel.pytorch.layers.NormalizeMinMax qualia_plugin_som.learningmodel.pytorch.layers.QuantizedNormalizeMinMax qualia_plugin_som.typing

N

name (qualia_plugin_som.typing.SOMModelConfigDict attribute) neighbourhood_width (qualia_plugin_som.typing.KSOMLayerParamsConfigDict attribute)

neurons (qualia_plugin_som.typing.SOMModelParamsConfigDict attribute) normalize_min_max() (qualia_plugin_som.learningmodel.pytorch.layers.NormalizeMinMax.NormalizeMinMax method) NormalizeMinMax (class in qualia_plugin_som.learningmodel.pytorch.layers.NormalizeMinMax)

O

optimizer (qualia_plugin_som.typing.SOMModelConfigDict attribute)

output_shape (qualia_plugin_som.typing.SOMModelParamsConfigDict attribute)

P

params (qualia_plugin_som.typing.SOMLayerConfigDict attribute) (qualia_plugin_som.typing.SOMModelConfigDict attribute)

Q

qualia_plugin_som module, [1] qualia_plugin_som.learningmodel.pytorch.layers.NormalizeMinMax module qualia_plugin_som.learningmodel.pytorch.layers.QuantizedNormalizeMinMax module

qualia_plugin_som.typing module quant_params (qualia_plugin_som.typing.SOMModelParamsConfigDict attribute) QuantizedNormalizeMinMax (class in qualia_plugin_som.learningmodel.pytorch.layers.QuantizedNormalizeMinMax)

R

reciprocal_divisor (qualia_plugin_som.learningmodel.pytorch.layers.NormalizeMinMax.NormalizeMinMax property)

S

som_layer (qualia_plugin_som.typing.SOMModelParamsConfigDict attribute) SOMLayerConfigDict (class in qualia_plugin_som.typing)

SOMModelConfigDict (class in qualia_plugin_som.typing) SOMModelParamsConfigDict (class in qualia_plugin_som.typing)

T

train (qualia_plugin_som.typing.SOMModelConfigDict attribute)

U

update_min_max() (qualia_plugin_som.learningmodel.pytorch.layers.NormalizeMinMax.NormalizeMinMax method)