regression

menpo.fit.regression.regressionfunctions.regression(X, T, regression_type, **kwargs)

Method that solves the regression equation.

Parameters:

X: numpy.array :

The regression features used to create the coefficient matrix.

T: numpy.array :

The shapes differential that denote the dependent variable.

regression_type: function/closure :

The closure of the regression method to be used. It must be one of the functions defined below.

Returns:

regression_closure: function/closure :

The closure of the regression method.

Raises:

ValueError :

regression_type can only be: a closure defining a particular regression technique. Several examples of such closures can be found in menpo.fit.regression.regressionfunctions.py (mlr, mlr_svd, mlr_pca, pcr, pls, ccr, ...).