def test_two_nodes1(self):
"""Test a TestBiFlowNode with two normal nodes."""
sfa_node = mdp.nodes.SFANode(input_dim=10, output_dim=8)
sfa2_node = mdp.nodes.SFA2Node(input_dim=8, output_dim=6)
flownode = BiFlowNode(BiFlow([sfa_node, sfa2_node]))
for _ in range(2):
for _ in range(6):
flownode.train(n.random.random((30,10)))
flownode.stop_training()
x = n.random.random([100,10])
flownode.execute(x)
def test_two_nodes1(self):
"""Test a TestBiFlowNode with two normal nodes."""
sfa_node = mdp.nodes.SFANode(input_dim=10, output_dim=8)
sfa2_node = mdp.nodes.SFA2Node(input_dim=8, output_dim=6)
flownode = BiFlowNode(BiFlow([sfa_node, sfa2_node]))
for _ in range(2):
for _ in range(6):
flownode.train(n.random.random((30,10)))
flownode.stop_training()
x = n.random.random([100,10])
flownode.execute(x)
def test_pretrained_nodes(self):
"""Test a TestBiFlowNode with two normal pretrained nodes."""
sfa_node = mdp.nodes.SFANode(input_dim=10, output_dim=8)
sfa2_node = mdp.nodes.SFA2Node(input_dim=8, output_dim=6)
flownode = BiFlowNode(BiFlow([sfa_node, sfa2_node]))
flow = mdp.Flow([flownode])
data_iterables = [[n.random.random((30,10)) for _ in range(6)]]
flow.train(data_iterables)
pretrained_flow = flow[0]._flow
biflownode = BiFlowNode(pretrained_flow)
x = n.random.random([100,10])
biflownode.execute(x)
def test_pretrained_nodes(self):
"""Test a TestBiFlowNode with two normal pretrained nodes."""
sfa_node = mdp.nodes.SFANode(input_dim=10, output_dim=8)
sfa2_node = mdp.nodes.SFA2Node(input_dim=8, output_dim=6)
flownode = BiFlowNode(BiFlow([sfa_node, sfa2_node]))
flow = mdp.Flow([flownode])
data_iterables = [[n.random.random((30,10)) for _ in range(6)]]
flow.train(data_iterables)
pretrained_flow = flow[0]._flow
biflownode = BiFlowNode(pretrained_flow)
x = n.random.random([100,10])
biflownode.execute(x)
