Flow
sklearn.pipeline.C37aa14b7d54a66(n69=sklearn.pipeline.C37aa14b7d54325(n70=sklearn.pipeline.C37aa14b7d53126(n71=sklearn.pipeline.C37aa14b7d526ac(n72=sklearn.pipeline.C37aa14b7d50bdc(n73=sklearn.compose._column_transformer.C5910212621a4a(n74=sklearn.preprocessing._function_transformer.C37aa14b7d50352)),n75=sklearn.pipeline.C5910212621cbe(n76=sklearn.compose._column_transformer.C37aa14b7d51ca0(n77=sklearn.preprocessing._function_transformer.C37aa14b7d519d2))),n78=fastsklearnfeature.transformations.IdentityTransformation.C37aa14b7d52ed7),n79=sklearn.pipeline.C5910212621fc2(n80=sklearn.compose._column_transformer.C37aa14b7d53b3a(n81=sklearn.preprocessing._function_transformer.C5910212621f57))),n82=fastsklearnfeature.transformations.IdentityTransformation.C37aa14b7d548d5,c=sklearn.linear_model.logistic.LogisticRegression)

sklearn.pipeline.C37aa14b7d54a66(n69=sklearn.pipeline.C37aa14b7d54325(n70=sklearn.pipeline.C37aa14b7d53126(n71=sklearn.pipeline.C37aa14b7d526ac(n72=sklearn.pipeline.C37aa14b7d50bdc(n73=sklearn.compose._column_transformer.C5910212621a4a(n74=sklearn.preprocessing._function_transformer.C37aa14b7d50352)),n75=sklearn.pipeline.C5910212621cbe(n76=sklearn.compose._column_transformer.C37aa14b7d51ca0(n77=sklearn.preprocessing._function_transformer.C37aa14b7d519d2))),n78=fastsklearnfeature.transformations.IdentityTransformation.C37aa14b7d52ed7),n79=sklearn.pipeline.C5910212621fc2(n80=sklearn.compose._column_transformer.C37aa14b7d53b3a(n81=sklearn.preprocessing._function_transformer.C5910212621f57))),n82=fastsklearnfeature.transformations.IdentityTransformation.C37aa14b7d548d5,c=sklearn.linear_model.logistic.LogisticRegression)

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

memorydefault: null
stepsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "n69", "step_name": "n69"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "n82", "step_name": "n82"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "c", "step_name": "c"}}]

0
Runs

List all runs
Parameter:
Rendering chart
Rendering table