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
template_id system/array_1d_text/1 Input
client_id system/text/1 Input
scores elie_khoury/string_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
client_id1 string
template_id string
std float32
mean_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
robertodaza/aythamimm/atvs_keystroke_btas_benchmark/1/proof5 atvskeystroke/1@A robertodaza/proof0/3
robertodaza/aythamimm/atvs_keystroke_btas_benchmark/1/proof4 atvskeystroke/1@A robertodaza/proof0/3

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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