lib.sedna.algorithms.seen_task_learning.task_definition.base_task_definition
¶
Divide multiple tasks based on data
- param samples: Train data:
- param see sedna.datasources.BaseDataSource for more detail.:
- returns:
tasks (All tasks based on training data.)
task_extractor (Model or dict with a method to predict target tasks)
Module Contents¶
Classes¶
Dividing datasets with all sorts of methods |
- class lib.sedna.algorithms.seen_task_learning.task_definition.base_task_definition.BaseTaskDefinition(**kwargs)[source]¶
Dividing datasets with all sorts of methods
- abstract __call__(samples: sedna.datasources.BaseDataSource) Tuple[List[lib.sedna.algorithms.seen_task_learning.artifact.Task], Any, sedna.datasources.BaseDataSource] [source]¶