This algorithm is a sequential one. The platform will call its process() method once per data incoming on its inputs.
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
is_positive system/boolean/1 Input
score system/float/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
eer float32

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

Experiments

Updated Name Databases/Protocols Analyzers
amohammadi/amohammadi/atnt_facenet/1/atnt_facenet_1 facenet-20170512-110547/1@facenet-20170512-110547,atnt/5@idiap amohammadi/eer_analyzer/1
amohammadi/amohammadi/atnt_eigenfaces/1/atnt1 atnt/6@idiap amohammadi/eer_analyzer/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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