Input Layer Reference¶
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¶
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¶
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¶
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¶
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.