mvpy.estimators

B2B	Implements a back-to-back regression to disentangle causal contributions of correlated features.
Classifier	Implements a wrapper for classifiers that handle one-versus-one (OvO) and one-versus-rest (OvR) classification schemes.
Covariance	Implements covariance and precision estimation as well as whitening of data.
KernelRidgeCV	Implements a kernel ridge regression with cross-validation.
ReceptiveField	Implements receptive field estimation (for multivariate temporal response functions or stimulus reconstruction).
RidgeClassifier	Implements a linear ridge classifier.
RidgeCV	Implements ridge regression with cross-validation.
RidgeDecoder	Implements a linear ridge decoder.
RidgeEncoder	Implements a linear ridge encoder.
RSA	Implements representational similarity analysis.
Sliding	Implements a sliding estimator that allows you to fit estimators iteratively over a set of dimensions.
SVC	Implements a support vector classifier.
TimeDelayed	Implements time delayed ridge regression (for multivariate temporal response functions or stimulus reconstruction).