lib.sedna.algorithms.unseen_task_detection.unseen_sample_recognition.base_unseen_sample_recognition

Divide inference samples into seen samples and unseen samples

param task_index:

knowledge base index which includes indexes of tasks, samples and etc.

type task_index:

str or dict

returns:

  • seen_task_samples (seen samples, see sedna.datasources.BaseDataSource)

  • for more detail

  • unseen_task_samples (unseen samples, see sedna.datasources.BaseDataSource)

  • for more detail

Module Contents

Classes

BaseSampleRegonition

Divide inference samples into seen samples and unseen samples
class lib.sedna.algorithms.unseen_task_detection.unseen_sample_recognition.base_unseen_sample_recognition.BaseSampleRegonition(task_index, **kwargs)[source]

Divide inference samples into seen samples and unseen samples

Parameters:

task_index (str or dict) – knowledge base index which includes indexes of tasks, samples and etc.

abstract __call__(samples: sedna.datasources.BaseDataSource) → Tuple[sedna.datasources.BaseDataSource, sedna.datasources.BaseDataSource][source]
Parameters:

samples (BaseDataSource) – inference samples

Returns:

  • seen_task_samples (BaseDataSource)

  • unseen_task_samples (BaseDataSource)