KBOC16: The version 2 of the analyzer (kboc16_analyzer) must be used in the competition.

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.

Group: main

Endpoint Name Data Format Nature
scores robertodaza/competition_kboc16/1 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
FAR float32
FRR float32
ROC plot/isoroc/1
EER float32

Algorithms may use functions and classes declared in libraries. Here you can see the libraries and import names used by this library. You don't need to import the library manually on your code, the platform will do it for you. Just use the object as it has been imported with the selected named. For example, if you choose to import a library using the name lib, then access function f within your code like lib.f().

Library Import as
robertodaza/competition--modified_scaled_distance--scaled_distance--mad-/2 prueba
This algorithm is only usable to you. Its code was not shared.

This analyzer must be used in the competition. You can not see the code of the analyzer but you can run (usable). The version 2 of the analyzer (kboc16_analyzer) fixes some possible problems caused by unusual/incorrect score distributions (with NaN or Inf values).


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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