Run 10228753

Task 2295 (Supervised Regression) cholesterol Uploaded 20-06-2019 by Dragos Serban
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads

Issue	#Downvotes for this reason	By

Flow

torch.nn.modules.container.Sequential.2c54586afd2ef685(1)	Automatically created pytorch flow.
torch.nn.modules.container.Sequential.2c54586afd2ef685(1)_children	[{"oml-python:serialized_object": "component_reference", "value": {"key": "0", "step_name": "0"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "1", "step_name": "1"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "2", "step_name": "2"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "3", "step_name": "3"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "4", "step_name": "4"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "5", "step_name": "5"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "6", "step_name": "6"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "7", "step_name": "7"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "8", "step_name": "8"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "9", "step_name": "9"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "10", "step_name": "10"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "11", "step_name": "11"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "12", "step_name": "12"}}]
torch.nn.modules.linear.Linear.4a692dfd931bf92e(1)_in_features	13
torch.nn.modules.linear.Linear.4a692dfd931bf92e(1)_out_features	256
torch.nn.modules.activation.LeakyReLU.74d552cf29994143(1)_inplace	false
torch.nn.modules.activation.LeakyReLU.74d552cf29994143(1)_negative_slope	0.01
torch.nn.modules.dropout.Dropout.a69aa4afabeb245d(1)_inplace	false
torch.nn.modules.dropout.Dropout.a69aa4afabeb245d(1)_p	0.5
torch.nn.modules.linear.Linear.b341b48545019694(1)_in_features	256
torch.nn.modules.linear.Linear.b341b48545019694(1)_out_features	256
torch.nn.modules.activation.LeakyReLU.b6ee8490c9c3275f(1)_inplace	false
torch.nn.modules.activation.LeakyReLU.b6ee8490c9c3275f(1)_negative_slope	0.01
torch.nn.modules.dropout.Dropout.ece6a7b2f4bf3a0f(1)_inplace	false
torch.nn.modules.dropout.Dropout.ece6a7b2f4bf3a0f(1)_p	0.5
torch.nn.modules.linear.Linear.7764093d2af45688(1)_in_features	256
torch.nn.modules.linear.Linear.7764093d2af45688(1)_out_features	256
torch.nn.modules.activation.LeakyReLU.1e643884380bc68d(1)_inplace	false
torch.nn.modules.activation.LeakyReLU.1e643884380bc68d(1)_negative_slope	0.01
torch.nn.modules.dropout.Dropout.d604710e7ab320c1(1)_inplace	false
torch.nn.modules.dropout.Dropout.d604710e7ab320c1(1)_p	0.5
torch.nn.modules.linear.Linear.2552b6f0139632cc(1)_in_features	256
torch.nn.modules.linear.Linear.2552b6f0139632cc(1)_out_features	256
torch.nn.modules.activation.LeakyReLU.9c9f994ae8b4c880(1)_inplace	false
torch.nn.modules.activation.LeakyReLU.9c9f994ae8b4c880(1)_negative_slope	0.01
torch.nn.modules.dropout.Dropout.8b78d676b8e17d5c(1)_inplace	false
torch.nn.modules.dropout.Dropout.8b78d676b8e17d5c(1)_p	0.5
torch.nn.modules.linear.Linear.3124f7c2e37ae6b0(1)_in_features	256
torch.nn.modules.linear.Linear.3124f7c2e37ae6b0(1)_out_features	1