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Minimum Euclidean distance comparison against a template matrix

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 **splittable**

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.

Endpoint Name | Data Format | Nature |
---|---|---|

probe_projections | system/array_2d_floats/1 | Input |

comparison_ids | system/array_1d_uint64/1 | Input |

probe_id | system/uint64/1 | Input |

probe_client_id | system/uint64/1 | Input |

scores | tutorial/probe_scores/1 | Output |

Endpoint Name | Data Format | Nature |
---|---|---|

template_client_id | system/uint64/1 | Input |

template_id | system/uint64/1 | Input |

template_projections | system/array_2d_floats/1 | Input |

The code for this algorithm in Python

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This algorithm generates comparison scores between test samples and matrix templates. Comparisons are performed using the Euclidean distance. As a score, the negation of the minimum distance between the row test (probe) vectors and the row vectors from the template matrix is returned.

The inputs are:

- probe_projections: a two-dimensional arrays of float (64 bits)
- representing the (row) test vectors (the number of test vectors corresponds to the number of rows of the matrix)

- comparison_ids: a list of id (as an unsigned 64 bit integers) of
- of template/models against which to compare the given probe

- probe_id: an identifier (as an unsigned 64 bit integers) for the
- given probe

- probe_client_id: an identifier (as an unsigned 64 bit integers) for
- the client from which this probe samples was generated.

- template_client_id: an identifier (as an unsigned 64 bit integers) for
- the client from which this template was generated.

- template_id: an identifier (as an unsigned 64 bit integers) for the
- given template

- tempalate_projections: a two-dimensional arrays of float (64 bits)
- representing the template matrix

The output scores is the corresponding set of score 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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