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Input Layer Reference
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ClickSimulationFeed
###################

Description
***********

Simulate clicks based on human annotations.

This class implements a input layer for unbiased learning to rank experiments
by simulating click data based on both the human relevance annotation of
each query-document pair and a predefined click model.

Hyper Parameters
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DirectLabelFeed
###############

Description
***********

Feed data with human annotations.

This class implements a input layer for unbiased learning to rank experiments
by directly feeding the model with the true labels of each query-document pair.

Hyper Parameters
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DeterministicOnlineSimulationFeed
#################################

Description
***********

Simulate online learning to rank and click data based on human annotations.

This class implements a input layer for online learning to rank experiments
by simulating click data based on both the human relevance annotation of
each query-document pair and a predefined click model.

Hyper Parameters
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StochasticOnlineSimulationFeed
##############################

Description
***********

Simulate online learning to rank and click data based on human annotations.

This class implements a input layer for online learning to rank experiments
by simulating click data based on both the human relevance annotation of
each query-document pair and a predefined click model.

Hyper Parameters
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InterleavingDeterministicOnlineSimulationFeed
#############################################

Description
***********

Simulate online learning to rank and click data based on human annotations.

This class implements a input layer for online learning to rank experiments
by simulating click data based on both the human relevance annotation of
each query-document pair and a predefined click model.

Hyper Parameters
****************