Flow
sklearn.pipeline.C58db6f8973275(n19=sklearn.impute.SimpleImputer,n20=sklearn.preprocessing._encoders.OneHotEncoder,n21=sklearn.preprocessing.data.StandardScaler,c=sklearn.linear_model.logistic.LogisticRegression)

sklearn.pipeline.C58db6f8973275(n19=sklearn.impute.SimpleImputer,n20=sklearn.preprocessing._encoders.OneHotEncoder,n21=sklearn.preprocessing.data.StandardScaler,c=sklearn.linear_model.logistic.LogisticRegression)

Visibility: public Uploaded 15-07-2019 by Felix Neutatz 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": "n19", "step_name": "n19"}}, {"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