Flow
sklearn.pipeline.Pipeline(preprocessing=sklearn.compose._column_transformer.ColumnTransformer(imputer=sklearn.impute.SimpleImputer,basic_encoder=category_encoders.one_hot.OneHotEncoder),algorithm=sklearn.ensemble.forest.RandomForestClassifier)

sklearn.pipeline.Pipeline(preprocessing=sklearn.compose._column_transformer.ColumnTransformer(imputer=sklearn.impute.SimpleImputer,basic_encoder=category_encoders.one_hot.OneHotEncoder),algorithm=sklearn.ensemble.forest.RandomForestClassifier)

Visibility: public Uploaded 06-03-2019 by Pieter Gijsbers sklearn==0.20.3 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_0.20.3
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": "preprocessing", "step_name": "preprocessing"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "algorithm", "step_name": "algorithm"}}]

0
Runs

List all runs
Parameter:
Rendering chart
Rendering table