67 lines
1.8 KiB
Python
67 lines
1.8 KiB
Python
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#
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# DATASET
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#
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import torch
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from sklearn.datasets import load_iris
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from sklearn.preprocessing import StandardScaler
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scaler = StandardScaler()
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x_train, y_train = load_iris(return_X_y=True)
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x_train = x_train[:, [0, 2]]
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scaler.fit(x_train)
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x_train = scaler.transform(x_train)
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x_train = torch.Tensor(x_train)
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y_train = torch.Tensor(y_train)
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num_classes = len(torch.unique(y_train))
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#
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# CREATE NEW COMPONENTS
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#
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from prototorch.components import *
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from prototorch.components.initializers import *
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unsupervised = Components(6, SelectionInitializer(x_train))
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print(unsupervised())
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prototypes = LabeledComponents(
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(3, 2), StratifiedSelectionInitializer(x_train, y_train))
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print(prototypes())
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components = ReasoningComponents(
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(3, 6), StratifiedSelectionInitializer(x_train, y_train))
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print(components())
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#
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# TEST SERIALIZATION
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#
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import io
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save = io.BytesIO()
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torch.save(unsupervised, save)
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save.seek(0)
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serialized_unsupervised = torch.load(save)
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assert torch.all(unsupervised.components == serialized_unsupervised.components
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), "Serialization of Components failed."
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save = io.BytesIO()
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torch.save(prototypes, save)
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save.seek(0)
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serialized_prototypes = torch.load(save)
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assert torch.all(prototypes.components == serialized_prototypes.components
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), "Serialization of Components failed."
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assert torch.all(prototypes.labels == serialized_prototypes.labels
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), "Serialization of Components failed."
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save = io.BytesIO()
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torch.save(components, save)
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save.seek(0)
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serialized_components = torch.load(save)
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assert torch.all(components.components == serialized_components.components
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), "Serialization of Components failed."
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assert torch.all(components.reasonings == serialized_components.reasonings
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), "Serialization of Components failed."
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