chore: rename y_arch to y
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@ -2,12 +2,12 @@ import prototorch as pt
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import pytorch_lightning as pl
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import pytorch_lightning as pl
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import torchmetrics
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import torchmetrics
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from prototorch.core import SMCI
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from prototorch.core import SMCI
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from prototorch.y_arch.callbacks import (
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from prototorch.y.callbacks import (
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LogTorchmetricCallback,
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LogTorchmetricCallback,
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PlotLambdaMatrixToTensorboard,
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PlotLambdaMatrixToTensorboard,
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VisGMLVQ2D,
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VisGMLVQ2D,
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)
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)
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from prototorch.y_arch.library.gmlvq import GMLVQ
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from prototorch.y.library.gmlvq import GMLVQ
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from pytorch_lightning.callbacks import EarlyStopping
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from pytorch_lightning.callbacks import EarlyStopping
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from torch.utils.data import DataLoader
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from torch.utils.data import DataLoader
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@ -10,7 +10,7 @@ from prototorch.core.initializers import (
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EyeLinearTransformInitializer,
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EyeLinearTransformInitializer,
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)
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)
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from prototorch.nn.wrappers import LambdaLayer
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from prototorch.nn.wrappers import LambdaLayer
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from prototorch.y_arch.architectures.base import BaseYArchitecture
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from prototorch.y.architectures.base import BaseYArchitecture
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from torch import Tensor
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from torch import Tensor
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from torch.nn.parameter import Parameter
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from torch.nn.parameter import Parameter
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@ -1,7 +1,7 @@
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from dataclasses import dataclass
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from dataclasses import dataclass
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from prototorch.core.competitions import WTAC
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from prototorch.core.competitions import WTAC
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from prototorch.y_arch.architectures.base import BaseYArchitecture
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from prototorch.y.architectures.base import BaseYArchitecture
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class WTACompetitionMixin(BaseYArchitecture):
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class WTACompetitionMixin(BaseYArchitecture):
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@ -5,7 +5,7 @@ from prototorch.core.initializers import (
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AbstractComponentsInitializer,
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AbstractComponentsInitializer,
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LabelsInitializer,
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LabelsInitializer,
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)
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)
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from prototorch.y_arch import BaseYArchitecture
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from prototorch.y import BaseYArchitecture
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class SupervisedArchitecture(BaseYArchitecture):
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class SupervisedArchitecture(BaseYArchitecture):
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@ -1,7 +1,7 @@
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from dataclasses import dataclass, field
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from dataclasses import dataclass, field
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from prototorch.core.losses import GLVQLoss
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from prototorch.core.losses import GLVQLoss
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from prototorch.y_arch.architectures.base import BaseYArchitecture
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from prototorch.y.architectures.base import BaseYArchitecture
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class GLVQLossMixin(BaseYArchitecture):
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class GLVQLossMixin(BaseYArchitecture):
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@ -2,7 +2,7 @@ from dataclasses import dataclass, field
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from typing import Type
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from typing import Type
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import torch
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import torch
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from prototorch.y_arch import BaseYArchitecture
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from prototorch.y import BaseYArchitecture
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from torch.nn.parameter import Parameter
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from torch.nn.parameter import Parameter
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@ -8,8 +8,8 @@ import torchmetrics
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from matplotlib import pyplot as plt
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from matplotlib import pyplot as plt
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from prototorch.models.vis import Vis2DAbstract
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from prototorch.models.vis import Vis2DAbstract
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from prototorch.utils.utils import mesh2d
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from prototorch.utils.utils import mesh2d
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from prototorch.y_arch.architectures.base import BaseYArchitecture
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from prototorch.y.architectures.base import BaseYArchitecture
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from prototorch.y_arch.library.gmlvq import GMLVQ
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from prototorch.y.library.gmlvq import GMLVQ
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from pytorch_lightning.loggers import TensorBoardLogger
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from pytorch_lightning.loggers import TensorBoardLogger
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DIVERGING_COLOR_MAPS = [
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DIVERGING_COLOR_MAPS = [
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@ -1,12 +1,12 @@
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from dataclasses import dataclass
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from dataclasses import dataclass
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from prototorch.y_arch import (
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from prototorch.y import (
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SimpleComparisonMixin,
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SimpleComparisonMixin,
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SingleLearningRateMixin,
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SingleLearningRateMixin,
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SupervisedArchitecture,
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SupervisedArchitecture,
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WTACompetitionMixin,
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WTACompetitionMixin,
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)
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)
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from prototorch.y_arch.architectures.loss import GLVQLossMixin
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from prototorch.y.architectures.loss import GLVQLossMixin
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class GLVQ(
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class GLVQ(
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@ -5,7 +5,7 @@ from typing import Callable
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import torch
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import torch
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from prototorch.core.distances import omega_distance
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from prototorch.core.distances import omega_distance
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from prototorch.y_arch import (
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from prototorch.y import (
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GLVQLossMixin,
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GLVQLossMixin,
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MultipleLearningRateMixin,
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MultipleLearningRateMixin,
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OmegaComparisonMixin,
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OmegaComparisonMixin,
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