import openml

import sklearn.pipeline
import sklearn.preprocessing
import sklearn.feature_selection
import sklearn.svm

#flow = openml.flows.get_flow(7103)

flow = sklearn.pipeline.Pipeline(
    [
        ('imputation', sklearn.preprocessing.Imputer()),
        ('onehot', sklearn.preprocessing.OneHotEncoder(handle_unknown='ignore',
                                                       categorical_features=[])),
        ('variancethreshold', None),
        ('classifier', sklearn.svm.SVC())
    ]
)

task = openml.tasks.get_task(3)
#run = openml.runs.run_flow_on_task(task, flow)
run = openml.runs.run_model_on_task(task, flow)