Flow
sklearn.pipeline.Pipeline(Scaler1=sklearn.preprocessing.data.Normalizer,PCA1=sklearn.decomposition.pca.PCA,Classifier1=sklearn.neighbors.classification.KNeighborsClassifier)

sklearn.pipeline.Pipeline(Scaler1=sklearn.preprocessing.data.Normalizer,PCA1=sklearn.decomposition.pca.PCA,Classifier1=sklearn.neighbors.classification.KNeighborsClassifier)

Visibility: public Uploaded 15-03-2018 by Bhoomica Nataraja sklearn==0.19.1 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_0.19.1
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": "Scaler1", "step_name": "Scaler1"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "PCA1", "step_name": "PCA1"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "Classifier1", "step_name": "Classifier1"}}]

0
Runs

List all runs
Parameter:
Rendering chart
Rendering table