This algorithm is a legacy one. The API has changed since its implementation. New versions and forks will need to be updated.
This algorithm is an analyzer. It can only be used on analysis blocks.

Algorithms have at least one input and one output. All algorithm endpoints are organized in groups. Groups are used by the platform to indicate which inputs and outputs are synchronized together. The first group is automatically synchronized with the channel defined by the block in which the algorithm is deployed.

Unnamed group

Endpoint Name Data Format Nature
scores tutorial/probe_scores/1 Input

Analyzers may produce any number of results. Once experiments using this analyzer are done, you may display the results or filter experiments using criteria based on them.

Name Type
frr float32
far float32
roc plot/scatter/1
eer float32
number_of_positives int32
threshold float32
number_of_negatives int32

The code for this algorithm in Python
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Could not find any documentation for this object.


Updated Name Databases/Protocols Analyzers
teodors/teodors/datatype_problem/1/example_aggregation_as_lists_repacking_variables atnt/3@idiap tutorial/postperf/1
AntonioCandia/AntonioCandia/eigenface_preprop/1/eigenface-with-10-components atnt/1@idiap tutorial/postperf/1
anjos/tutorial/eigenface/1/demo42 atnt/1@idiap tutorial/postperf/1

This table shows the number of times this algorithm has been successfully run using the given environment. Note this does not provide sufficient information to evaluate if the algorithm will run when submitted to different conditions.

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