Flow
sklearn.pipeline.Pipeline(dimension_reduction=sklearn.decomposition.pca.PCA,scaler=sklearn.preprocessing.data.MinMaxScaler,forest=sklearn.ensemble.forest.RandomForestClassifier)

sklearn.pipeline.Pipeline(dimension_reduction=sklearn.decomposition.pca.PCA,scaler=sklearn.preprocessing.data.MinMaxScaler,forest=sklearn.ensemble.forest.RandomForestClassifier)

Visibility: public Uploaded 17-03-2018 by Jeroen Ubbink sklearn==0.19.1 numpy>=1.6.1 scipy>=0.9 42 runs
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • openml-python python scikit-learn sklearn sklearn_0.19.1
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": "dimension_reduction", "step_name": "dimension_reduction"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "forest", "step_name": "forest"}}]

0
Runs

List all runs
Parameter:
Rendering chart
Rendering table