OpenML
torch.nn.modules.container.Sequentiall.F.L.S.f.a.j.d.N.c(0=torch.nn.modules.normalization.LayerNormj.P.X.u.Q.C.n.v.M.k,1=torch.nn.modules.linear.LinearC.J.I.T.v.g.v.D.g.W,2=torch.nn.modules.activation.ReLUy.S.j.k.c.d.Q.n.j.I,3=torch.nn.modules.dropout.Dropoutd.v.l.d.n.j.R.Y.d.g,4=torch.nn.modules.linear.LinearQ.L.e.F.i.Q.o.Z.f.a,5=torch.nn.modules.activation.SoftmaxY.U.V.f.E.Q.u.a.e.T)

torch.nn.modules.container.Sequentiall.F.L.S.f.a.j.d.N.c(0=torch.nn.modules.normalization.LayerNormj.P.X.u.Q.C.n.v.M.k,1=torch.nn.modules.linear.LinearC.J.I.T.v.g.v.D.g.W,2=torch.nn.modules.activation.ReLUy.S.j.k.c.d.Q.n.j.I,3=torch.nn.modules.dropout.Dropoutd.v.l.d.n.j.R.Y.d.g,4=torch.nn.modules.linear.LinearQ.L.e.F.i.Q.o.Z.f.a,5=torch.nn.modules.activation.SoftmaxY.U.V.f.E.Q.u.a.e.T)

Visibility: public Uploaded 15-05-2019 by Hidden torch==1.0.1 numpy>=1.6.1 scipy>=0.9 0 runs
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  • openml-python python pytorch torch_1.0.1
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Automatically created pytorch flow.

Components

0torch.nn.modules.normalization.LayerNormj.P.X.u.Q.C.n.v.M.k(1)
1torch.nn.modules.linear.LinearC.J.I.T.v.g.v.D.g.W(1)
2torch.nn.modules.activation.ReLUy.S.j.k.c.d.Q.n.j.I(1)
3torch.nn.modules.dropout.Dropoutd.v.l.d.n.j.R.Y.d.g(1)
4torch.nn.modules.linear.LinearQ.L.e.F.i.Q.o.Z.f.a(1)
5torch.nn.modules.activation.SoftmaxY.U.V.f.E.Q.u.a.e.T(1)

Parameters

0default: {"oml-python:serialized_object": "component_reference", "value": {"key": "0", "step_name": null}}
1default: {"oml-python:serialized_object": "component_reference", "value": {"key": "1", "step_name": null}}
2default: {"oml-python:serialized_object": "component_reference", "value": {"key": "2", "step_name": null}}
3default: {"oml-python:serialized_object": "component_reference", "value": {"key": "3", "step_name": null}}
4default: {"oml-python:serialized_object": "component_reference", "value": {"key": "4", "step_name": null}}
5default: {"oml-python:serialized_object": "component_reference", "value": {"key": "5", "step_name": null}}

0
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