Flow
keras.wrappers.scikit_learn.KerasClassifier(layer0=keras.layers.core.Dense,layer1=keras.layers.core.Dropout,layer2=keras.layers.core.Dense,layer3=keras.layers.core.Dropout,layer4=keras.layers.core.Dense)

keras.wrappers.scikit_learn.KerasClassifier(layer0=keras.layers.core.Dense,layer1=keras.layers.core.Dropout,layer2=keras.layers.core.Dense,layer3=keras.layers.core.Dropout,layer4=keras.layers.core.Dense)

Visibility: public Uploaded 20-04-2018 by Irfan Nur Afif sklearn==0.19.1 numpy>=1.6.1 scipy>=0.9 0 runs
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  • openml-python python scikit-learn sklearn sklearn_0.19.1
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Automatically created scikit-learn flow.

Parameters

batch_sizedefault: 1000
build_fndefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "layer0", "step_name": "layer0"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "layer1", "step_name": "layer1"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "layer2", "step_name": "layer2"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "layer3", "step_name": "layer3"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "layer4", "step_name": "layer4"}}]
epochsdefault: 1
verbosedefault: 1

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