prototorch/examples/new_components.py

66 lines
1.9 KiB
Python
Raw Normal View History

2021-04-29 16:06:26 +00:00
"""This example script shows the usage of the new components architecture.
Serialization/deserialization also works as expected.
"""
# 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."
2021-04-29 16:06:26 +00:00
assert torch.all(prototypes.component_labels == serialized_prototypes.
component_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."