Flow
sklearn.pipeline.Pipeline(conditionalimputer=openmlstudy14.preprocessing.ConditionalImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,mlpclassifier=sklearn.neural_network.multilayer_perceptron.MLPClassifier)

sklearn.pipeline.Pipeline(conditionalimputer=openmlstudy14.preprocessing.ConditionalImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,mlpclassifier=sklearn.neural_network.multilayer_perceptron.MLPClassifier)

Visibility: public Uploaded 26-04-2018 by Sammi Sung sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 0 runs
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • openml-python python scikit-learn sklearn sklearn_0.18.1
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Automatically created scikit-learn flow.

Parameters

stepsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "conditionalimputer", "step_name": "conditionalimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "mlpclassifier", "step_name": "mlpclassifier"}}]

0
Runs

List all runs
Parameter:
Rendering chart
Rendering table