"""Regression strategy class implementing __call__ logic."""
from typing import Any, List
from pyrelational.data_managers import DataManager
from pyrelational.model_managers import ModelManager
from pyrelational.strategies.abstract_strategy import Strategy
[docs]
class RegressionStrategy(Strategy):
"""A base active learning strategy class for regression."""
[docs]
def __call__(
self, num_annotate: int, data_manager: DataManager, model_manager: ModelManager[Any, Any]
) -> List[int]:
"""
Identify samples for labelling based on user defined scoring and sampling function.
:param num_annotate: number of samples to annotate
:param data_manager: A pyrelational data manager
which keeps track of what has been labelled and creates data loaders for
active learning
:param model_manager: A pyrelational model manager
which wraps a user defined ML model to handle instantiation, training, testing,
as well as uncertainty quantification
:return: list of indices to annotate
"""
output = self.train_and_infer(data_manager=data_manager, model_manager=model_manager)
scores = self.scorer(output)
if scores.shape[0] != 1:
scores = scores.squeeze(-1)
return self.sampler(scores, data_manager.u_indices, num_annotate)