Flow
imblearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.Normalizer,pac=sklearn.decomposition.pca.PCA,oversample=imblearn.over_sampling.adasyn.ADASYN,classifier=sklearn.neighbors.classification.KNeighborsClassifier)

imblearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.Normalizer,pac=sklearn.decomposition.pca.PCA,oversample=imblearn.over_sampling.adasyn.ADASYN,classifier=sklearn.neighbors.classification.KNeighborsClassifier)

Visibility: public Uploaded 17-03-2018 by Xinyi Kong sklearn==0.19.1 numpy>=1.6.1 scipy>=0.9 1 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": "scaler", "step_name": "scaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "pac", "step_name": "pac"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "oversample", "step_name": "oversample"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "classifier", "step_name": "classifier"}}]

0
Runs

List all runs
Parameter:
Rendering chart
Rendering table