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added additional documentation specific to the components parameter.
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LennartPurucker committed Apr 16, 2023
commit 524c01cd10d3b6dd7f088c8d12894247ce0f724a
4 changes: 4 additions & 0 deletions examples/30_extended/custom_flow_.py
Original file line number Diff line number Diff line change
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# you can use the Random Forest Classifier flow as a *subflow*. It allows for
# all hyperparameters of the Random Classifier Flow to also be specified in your pipeline flow.
#
# Note: you can currently only specific one subflow as part of the components.
#
# In this example, the auto-sklearn flow is a subflow: the auto-sklearn flow is entirely executed as part of this flow.
# This allows people to specify auto-sklearn hyperparameters used in this flow.
# In general, using a subflow is not required.
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autosklearn_flow = openml.flows.get_flow(9313) # auto-sklearn 0.5.1
subflow = dict(
components=OrderedDict(automl_tool=autosklearn_flow),
# If you do not want to reference a subflow, you can use the following:
# components=OrderedDict(),
)

####################################################################################################
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