51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
from __future__ import annotations
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from dataclasses import dataclass, field
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from typing import Callable
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import torch
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from prototorch.core.distances import omega_distance
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from prototorch.y_arch import (
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GLVQLossMixin,
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MultipleLearningRateMixin,
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OmegaComparisonMixin,
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SupervisedArchitecture,
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WTACompetitionMixin,
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)
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class GMLVQ(
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SupervisedArchitecture,
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OmegaComparisonMixin,
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GLVQLossMixin,
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WTACompetitionMixin,
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MultipleLearningRateMixin,
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):
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"""
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Generalized Matrix Learning Vector Quantization (GMLVQ)
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A GMLVQ architecture that uses the winner-take-all strategy and the GLVQ loss.
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"""
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# HyperParameters
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# ----------------------------------------------------------------------------------------------------
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@dataclass
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class HyperParameters(
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MultipleLearningRateMixin.HyperParameters,
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OmegaComparisonMixin.HyperParameters,
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GLVQLossMixin.HyperParameters,
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WTACompetitionMixin.HyperParameters,
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SupervisedArchitecture.HyperParameters,
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):
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"""
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comparison_fn: The comparison / dissimilarity function to use. Override Default: omega_distance.
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comparison_args: Keyword arguments for the comparison function. Override Default: {}.
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"""
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comparison_fn: Callable = omega_distance
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comparison_args: dict = field(default_factory=lambda: dict())
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optimizer: type[torch.optim.Optimizer] = torch.optim.Adam
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lr: dict = field(default_factory=lambda: dict(
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components_layer=0.1,
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_omega=0.5,
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))
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