def test_static_graph_temporal_signal():
dataset = StaticGraphTemporalSignal(None, None, [None, None], [None, None])
for snapshot in dataset:
assert snapshot.edge_index is None
assert snapshot.edge_attr is None
assert snapshot.x is None
assert snapshot.y is None
def test_train_test_split_dynamic_graph_static_signal():
snapshot_count = 250
n_count = 100
feature_count = 32
edge_indices, edge_weights, features = generate_signal(250, 100, 32)
targets = [
np.random.uniform(0, 10, (n_count, )) for _ in range(snapshot_count)
]
dataset = StaticGraphTemporalSignal(edge_indices[0], edge_weights[0],
features, targets)
train_dataset, test_dataset = temporal_signal_split(dataset, 0.8)
for epoch in range(2):
for snapshot in test_dataset:
assert snapshot.edge_index.shape[0] == 2
assert snapshot.edge_index.shape[1] == snapshot.edge_attr.shape[0]
assert snapshot.x.shape == (100, 32)
assert snapshot.y.shape == (100, )
for epoch in range(2):
for snapshot in train_dataset:
assert snapshot.edge_index.shape[0] == 2
assert snapshot.edge_index.shape[1] == snapshot.edge_attr.shape[0]
assert snapshot.x.shape == (100, 32)
assert snapshot.y.shape == (100, )
def get_dataset(
self,
lags: int = 4,
target_var: str = "y",
feature_vars: List[str] = ["y"]) -> StaticGraphTemporalSignal:
"""Returning the MontevideoBus passenger inflow data iterator.
Parameters
----------
lags : int, optional
The number of time lags, by default 4.
target_var : str, optional
Target variable name, by default "y".
feature_vars : List[str], optional
List of feature variables, by default ["y"].
Returns
-------
StaticGraphTemporalSignal
The MontevideoBus dataset.
"""
self.lags = lags
self._get_edges()
self._get_edge_weights()
self._get_features(feature_vars)
self._get_targets(target_var)
dataset = StaticGraphTemporalSignal(self._edges, self._edge_weights,
self.features, self.targets)
return dataset
def test_static_graph_discrete_signal_typing():
dataset = StaticGraphTemporalSignal(None, None, [np.array([1])],[np.array([2])])
for snapshot in dataset:
assert snapshot.edge_index is None
assert snapshot.edge_attr is None
assert snapshot.x.shape == (1,)
assert snapshot.y.shape == (1,)
def test_static_graph_temporal_signal_additional_attrs():
dataset = StaticGraphTemporalSignal(None,
None, [None], [None],
optional1=[np.array([1])],
optional2=[np.array([2])])
assert dataset.additional_feature_keys == ["optional1", "optional2"]
for snapshot in dataset:
assert snapshot.optional1.shape == (1, )
assert snapshot.optional2.shape == (1, )
def get_dataset(self, frames: int = 16) -> StaticGraphTemporalSignal:
"""Returning the MTM-1 motion data iterator.
Args types:
* **frames** *(int)* - The number of consecutive frames T, default 16.
Return types:
* **dataset** *(StaticGraphTemporalSignal)* - The MTM-1 dataset.
"""
self.frames = frames
self._get_edges()
self._get_edge_weights()
self._get_features()
self._get_targets()
dataset = StaticGraphTemporalSignal(self._edges, self._edge_weights,
self.features, self.targets)
return dataset