prototorch_models/docs/source/library.rst

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.. Available Models
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Models
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========================================
Unsupervised Methods
-----------------------------------------
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.. autoclass:: prototorch.models.unsupervised.KNN
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:members:
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.. autoclass:: prototorch.models.unsupervised.NeuralGas
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:members:
Classical Learning Vector Quantization
-----------------------------------------
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Original LVQ models by Kohonen.
These heuristic algorithms do not use gradient descent.
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.. autoclass:: prototorch.models.glvq.LVQ1
:members:
.. autoclass:: prototorch.models.glvq.LVQ21
:members:
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It is also possible to use the GLVQ structure as shown in [Sato&Yamada].
This allows the use of gradient descent methods.
.. autoclass:: prototorch.models.glvq.GLVQ1
:members:
.. autoclass:: prototorch.models.glvq.GLVQ21
:members:
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Generalized Learning Vector Quantization
-----------------------------------------
.. autoclass:: prototorch.models.glvq.GLVQ
:members:
.. autoclass:: prototorch.models.glvq.ImageGLVQ
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.. autoclass:: prototorch.models.glvq.SiameseGLVQ
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.. autoclass:: prototorch.models.glvq.GRLVQ
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.. autoclass:: prototorch.models.glvq.GMLVQ
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.. autoclass:: prototorch.models.glvq.LVQMLN
:members:
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Classification by Component
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-----------------------------------------
.. autoclass:: prototorch.models.cbc.CBC
:members:
.. autoclass:: prototorch.models.cbc.ImageCBC
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:members:
Visualization
========================================
.. automodule:: prototorch.models.vis
:members:
:undoc-members: