Flow
sklearn.pipeline.C37aa14424aa704(n14=sklearn.pipeline.C37aa14424a9899(n15=sklearn.compose._column_transformer.C37aa14424a957b(n16=sklearn.preprocessing._function_transformer.C37aa14424a92f0)),n17=sklearn.pipeline.C37aa14424aa33a(n18=sklearn.compose._column_transformer.C5910206a1102c(n19=sklearn.preprocessing._function_transformer.C37aa14424aa09e)))

sklearn.pipeline.C37aa14424aa704(n14=sklearn.pipeline.C37aa14424a9899(n15=sklearn.compose._column_transformer.C37aa14424a957b(n16=sklearn.preprocessing._function_transformer.C37aa14424a92f0)),n17=sklearn.pipeline.C37aa14424aa33a(n18=sklearn.compose._column_transformer.C5910206a1102c(n19=sklearn.preprocessing._function_transformer.C37aa14424aa09e)))

Visibility: public Uploaded 26-08-2019 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": "n14", "step_name": "n14"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "n17", "step_name": "n17"}}]
transformer_weightsdefault: null

0
Runs

List all runs
Parameter:
Rendering chart
Rendering table