DEVELOPMENT... OpenML
Flow
sklearn.pipeline.C3766a1d258ac62(n13=sklearn.pipeline.C3766a1d258a4f4(n14=sklearn.pipeline.C58a4361d5a8da(n15=sklearn.compose._column_transformer.C3766a1d2589614(n16=sklearn.preprocessing._function_transformer.C3766a1d25893c2)),n17=sklearn.pipeline.C3766a1d258a200(n18=sklearn.compose._column_transformer.C3766a1d258a095(n19=sklearn.preprocessing._function_transformer.C3766a1d2589f7e))),n20=fastsklearnfeature.transformations.HigherOrderCommutativeTransformation.C58a4361d5aa70,n21=fastsklearnfeature.transformations.OneDivisionTransformation.C3766a1d258aab3,c=sklearn.linear_model.logistic.LogisticRegression)

sklearn.pipeline.C3766a1d258ac62(n13=sklearn.pipeline.C3766a1d258a4f4(n14=sklearn.pipeline.C58a4361d5a8da(n15=sklearn.compose._column_transformer.C3766a1d2589614(n16=sklearn.preprocessing._function_transformer.C3766a1d25893c2)),n17=sklearn.pipeline.C3766a1d258a200(n18=sklearn.compose._column_transformer.C3766a1d258a095(n19=sklearn.preprocessing._function_transformer.C3766a1d2589f7e))),n20=fastsklearnfeature.transformations.HigherOrderCommutativeTransformation.C58a4361d5aa70,n21=fastsklearnfeature.transformations.OneDivisionTransformation.C3766a1d258aab3,c=sklearn.linear_model.logistic.LogisticRegression)

Visibility: public Uploaded 01-06-2019 by Kenneth sklearn==0.20.3 numpy>=1.6.1 scipy>=0.9 1 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

memorydefault: null
stepsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "n13", "step_name": "n13"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "n20", "step_name": "n20"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "n21", "step_name": "n21"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "c", "step_name": "c"}}]

0
Runs

List all runs
Parameter:
Rendering chart
Rendering table