Flow
sklearn.pipeline.Pipeline(PLY=sklearn.preprocessing.data.PolynomialFeatures,MMS=sklearn.preprocessing.data.MinMaxScaler,PCA=sklearn.decomposition.pca.PCA,LGR=sklearn.linear_model.logistic.LogisticRegression)

sklearn.pipeline.Pipeline(PLY=sklearn.preprocessing.data.PolynomialFeatures,MMS=sklearn.preprocessing.data.MinMaxScaler,PCA=sklearn.decomposition.pca.PCA,LGR=sklearn.linear_model.logistic.LogisticRegression)

Visibility: public Uploaded 21-02-2019 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": "PLY", "step_name": "PLY"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "MMS", "step_name": "MMS"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "PCA", "step_name": "PCA"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "LGR", "step_name": "LGR"}}]

0
Runs

List all runs
Parameter:
Rendering chart
Rendering table