DEVELOPMENT... OpenML
Flow
sklearn.pipeline.Pipeline(steps__imputer=sklearn.preprocessing.imputation.Imputer,steps__onehotencoder=sklearn.preprocessing.data.OneHotEncoder,steps__zerocount=tpot.operators.preprocessors.zero_count.ZeroCount,steps__logisticregression=sklearn.linear_model.logistic.LogisticRegression)

sklearn.pipeline.Pipeline(steps__imputer=sklearn.preprocessing.imputation.Imputer,steps__onehotencoder=sklearn.preprocessing.data.OneHotEncoder,steps__zerocount=tpot.operators.preprocessors.zero_count.ZeroCount,steps__logisticregression=sklearn.linear_model.logistic.LogisticRegression)

Visibility: public Uploaded 26-02-2017 by Michael Torres sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 0 runs
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Automatically created sub-component.

Parameters

stepsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "steps__imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "steps__onehotencoder", "step_name": "onehotencoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "steps__zerocount", "step_name": "zerocount"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "steps__logisticregression", "step_name": "logisticregression"}}]

0
Runs

List all runs
Parameter:
Rendering chart
Rendering table