Flow
sklearn.pipeline.C378f4334732157(n9=sklearn.pipeline.C58e53853eb560(n10=sklearn.compose._column_transformer.C378f4334731339(n11=sklearn.preprocessing._function_transformer.C378f433473110b)),n12=sklearn.pipeline.C378f4334731ebe(n13=sklearn.compose._column_transformer.C378f4334731d6e(n14=sklearn.preprocessing._function_transformer.C378f4334731c57)))

sklearn.pipeline.C378f4334732157(n9=sklearn.pipeline.C58e53853eb560(n10=sklearn.compose._column_transformer.C378f4334731339(n11=sklearn.preprocessing._function_transformer.C378f433473110b)),n12=sklearn.pipeline.C378f4334731ebe(n13=sklearn.compose._column_transformer.C378f4334731d6e(n14=sklearn.preprocessing._function_transformer.C378f4334731c57)))

Visibility: public Uploaded 23-07-2019 by Felix Neutatz sklearn==0.20.3 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_0.20.3
Issue #Downvotes for this reason By


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

Parameters

n_jobsdefault: null
transformer_listdefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "n9", "step_name": "n9"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "n12", "step_name": "n12"}}]
transformer_weightsdefault: null

0
Runs

List all runs
Parameter:
Rendering chart
Rendering table