classifier

Classification.

Classification assigns discrete labels to instances. In data stream learning, classifiers must learn incrementally from a single pass over the data, adapting to concept drift while making predictions in real time.

Classes

CSMOTE	Continuous Synthetic Minority Oversampling Technique.
EFDT	Extremely Fast Decision Tree.
KNN	K-Nearest Neighbors.
LAST	Local Adaptive Streaming Tree.
PLASTIC	PLASTIC classifier.
AdaptiveRandomForestClassifier	Adaptive Random Forest.
DynamicEnsembleMemberSelection	Dynamic Ensemble Member Selection (DEMS).
DynamicWeightedMajority	Dynamic Weighted Majority.
Finetune	Finetune a PyTorch neural network using stochastic gradient descent.
HoeffdingAdaptiveTree	Hoeffding Adaptive Tree (HAT).
HoeffdingTree	Hoeffding Tree.
LeveragingBagging	Leveraging Bagging for evolving data streams using ADWIN.
MajorityClass	Majority class classifier.
NaiveBayes	Naive Bayes incremental learner.
NoChange	No change classifier.
OnlineAdwinBagging	Bagging for evolving data streams using ADWIN.
OnlineBagging	Incremental on-line bagging of Oza and Russell.
OnlineSmoothBoost	Online Smooth Boost.
OzaBoost	Incremental on-line boosting classifier of Oza and Russell.
PassiveAggressiveClassifier	Streaming Passive Aggressive Classifier.
SAMkNN	Self Adjusted Memory k Nearest Neighbor.
SGDClassifier	Streaming stochastic gradient descent classifier.
ShrubsClassifier	Shrubs Classifier.
StochasticGradientTree	Stochastic Gradient Tree classifier.
StreamingGradientBoostedTrees	Streaming Gradient Boosted Trees.
StreamingRandomPatches	Streaming Random Patches.
WeightedkNN	Weighted k-Nearest Neighbour.