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