skactiveml.stream#
The skactiveml.stream package implements query strategies for
stream-based active learning.
Submodules#
Classes#
Random Sampling for Data Streams. |
|
Periodic Sampling for Data Streams |
|
Base class for the uncertainty sampling strategies proposed by Žliobaitė et al. in [R954e52bfccc6-1]. |
|
Fixed Uncertainty Strategy |
|
Variable Uncertainty Strategy |
|
The Split query strategy (Split Strategy in [R79653b04d29c-1]) queries labels based on the classifiers uncertainty assessed based on the classifier's predictions. |
|
Probabilistic Active Learning in Datastreams |
|
The RandomVariableUncertainty (Uncertainty Strategy With Randomization in [R7113787876b0-1]) query strategy samples samples based on the classifier's uncertainty assessed based on the classifier's predictions. |
|
The StreamDensityBasedAL [Rddab91d1dd87-1] query strategy is an extension to the uncertainty based query strategies proposed by Žliobaitė et al. [Rddab91d1dd87-2]. |
|
This class is the base for the CognitiveDualQueryStrategy query strategy proposed in [R1e46791e62c8-1]. |
|
This class implements the CognitiveDualQueryStrategy [Rffbcc2a90939-1] strategy with Random Sampling. |
|
This class implements the CognitiveDualQueryStrategy [R291d9e1f2fe6-1] strategy with RandomVariableUncertainty. |
|
This class implements the CognitiveDualQueryStrategy [Rb64f38603851-1] strategy with VariableUncertainty. |
|
This class implements the CognitiveDualQueryStrategy [R68dceac87beb-1] strategy with FixedUncertainty. |