OpenML
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,kerasclassifier=keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation))

sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,kerasclassifier=keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation))

Visibility: public Uploaded 01-07-2018 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.

Components

standardscalersklearn.preprocessing.data.StandardScaler(5)
kerasclassifierkeras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(4)

Parameters

kerasclassifierdefault: {"oml-python:serialized_object": "component_reference", "value": {"key": "kerasclassifier", "step_name": null}}
kerasclassifier__batch_sizedefault: 1000
kerasclassifier__build_fndefault: {"oml-python:serialized_object": "function", "value": "__main__.create_model"}
kerasclassifier__epochsdefault: 1
kerasclassifier__verbosedefault: 1
memorydefault: null
standardscalerdefault: {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": null}}
standardscaler__copydefault: true
standardscaler__with_meandefault: true
standardscaler__with_stddefault: true
stepsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "kerasclassifier", "step_name": "kerasclassifier"}}]

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