regressor

Regression.

Regression predicts continuous target values. In data stream learning, regressors must be updated incrementally from a single pass over the data and adapt their predictions as the underlying target function drifts.

Classes

ARFFIMTDD	Adaptive Random Forest Fast Incremental Model Tree with Drift Detection.
FIMTDD	Implementation of the FIMT-DD tree as described by Ikonomovska et al.
ORTO	Implementation of the Online Regression Tree with Options (ORTO).
SOKNL	Self-Optimising K-Nearest Leaves (SOKNL) Implementation.
SOKNLBT	The base tree for Self-Optimising K Nearest Leaves as distribed by Sun.
AdaptiveRandomForestRegressor	Adaptive Random Forest Regressor
FadingTargetMean	Fading Target Mean Regressor.
KNNRegressor	K Nearest Neighbor for data stream regression with sliding window
NoChange	No Change regressor.
PassiveAggressiveRegressor	Streaming Passive Aggressive regressor
SGDRegressor	Streaming stochastic gradient descent regressor.
ShrubsRegressor	ShrubsRegressor
StochasticGradientTree	Stochastic Gradient Tree regressor.
StreamingGradientBoostedRegression	Streaming Gradient Boosted Regression.
TargetMean	Target Mean Regressor.