Standard deviation
standard_deviation
¶
Output standard deviation.
Classes¶
StandardDeviation
¶
StandardDeviation(
regressor_distribution: BaseRegressorDistribution,
batch_size: int = 1,
mc_size: int = 10000,
)
Bases: BaseExploration
Output standard deviation.
This acquisition criterion is expressed as:
where
Parameters:
-
regressor_distribution
(BaseRegressorDistribution
) –The distribution of the regressor.
-
batch_size
(int
, default:1
) –The number of points to be acquired in parallel; if
1
, acquire points sequentially. -
mc_size
(int
, default:10000
) –The sample size to estimate the acquisition criterion in parallel.
Source code in src/gemseo_mlearning/active_learning/acquisition_criteria/base_acquisition_criterion.py
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Attributes¶
MAXIMIZE
class-attribute
¶
MAXIMIZE: bool = True
Whether this acquisition criterion must be maximized.
Functions¶
update
¶
update() -> None
Update the acquisition criterion.
Source code in src/gemseo_mlearning/active_learning/acquisition_criteria/base_acquisition_criterion.py
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