This algorithm is a legacy one. The API has changed since its implementation. New versions and forks will need to be updated.

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: probes

Endpoint Name Data Format Nature
comparison_ids system/array_1d_uint64/1 Input
probe system/array_1d_floats/1 Input
probe_id system/uint64/1 Input
probe_client_id system/uint64/1 Input
scores tutorial/probe_scores/1 Output

Group: models

Endpoint Name Data Format Nature
model_id system/uint64/1 Input
model system/array_1d_floats/1 Input
model_client_id system/uint64/1 Input

The code for this algorithm in Python
The ruler at 80 columns indicate suggested POSIX line breaks (for readability).
The editor will automatically enlarge to accomodate the entirety of your input
Use keyboard shortcuts for search/replace and faster editing. For example, use Ctrl-F (PC) or Cmd-F (Mac) to search through this box

Could not find any documentation for this object.

Experiments

Updated Name Databases/Protocols Analyzers
tutorial/tutorial/full_lbphs/1/atnt-lbphs-para atnt/1@idiap_test_eyepos tutorial/eerhter_postperf/1
tutorial/tutorial/full_lbphs/1/atnt-lbphs atnt/1@idiap_test_eyepos tutorial/eerhter_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.

Terms of Service | Contact Information | BEAT platform version 2.2.1b0 | © Idiap Research Institute - 2013-2024