DEVELOPMENT... OpenML
Flow
torch.nn.modules.container.SequentialLEUjeibFUu(0=torch.nn.modules.normalization.LayerNormAlvJTVApld,1=torch.nn.modules.linear.LinearNrilXFaGcB,2=torch.nn.modules.activation.ReLUeGYDXMQsSd,3=torch.nn.modules.dropout.DropoutjgVhZEFWBS,4=torch.nn.modules.linear.LinearoRrvzmlyKa,5=torch.nn.modules.activation.SoftmaxbFubPwhpua)

torch.nn.modules.container.SequentialLEUjeibFUu(0=torch.nn.modules.normalization.LayerNormAlvJTVApld,1=torch.nn.modules.linear.LinearNrilXFaGcB,2=torch.nn.modules.activation.ReLUeGYDXMQsSd,3=torch.nn.modules.dropout.DropoutjgVhZEFWBS,4=torch.nn.modules.linear.LinearoRrvzmlyKa,5=torch.nn.modules.activation.SoftmaxbFubPwhpua)

Visibility: public Uploaded 15-05-2019 by Gibson 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.LayerNormAlvJTVApld(1)
1torch.nn.modules.linear.LinearNrilXFaGcB(1)
2torch.nn.modules.activation.ReLUeGYDXMQsSd(1)
3torch.nn.modules.dropout.DropoutjgVhZEFWBS(1)
4torch.nn.modules.linear.LinearoRrvzmlyKa(1)
5torch.nn.modules.activation.SoftmaxbFubPwhpua(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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