Flow
sklearn.pipeline.Pipeline(SMP=sklearn.impute.SimpleImputer,BXC=sklearn.preprocessing.data.PowerTransformer,FAG=sklearn.cluster.hierarchical.FeatureAgglomeration,RBF=sklearn.kernel_approximation.RBFSampler,LSV=sklearn.svm.classes.LinearSVC)

sklearn.pipeline.Pipeline(SMP=sklearn.impute.SimpleImputer,BXC=sklearn.preprocessing.data.PowerTransformer,FAG=sklearn.cluster.hierarchical.FeatureAgglomeration,RBF=sklearn.kernel_approximation.RBFSampler,LSV=sklearn.svm.classes.LinearSVC)

Visibility: public Uploaded 25-02-2019 by Matthew Coad sklearn==0.20.1 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_0.20.1
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": "SMP", "step_name": "SMP"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "BXC", "step_name": "BXC"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "FAG", "step_name": "FAG"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "RBF", "step_name": "RBF"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "LSV", "step_name": "LSV"}}]

0
Runs

List all runs
Parameter:
Rendering chart
Rendering table