mlr_pca¶
- menpo.fit.regression.regressionfunctions.mlr_pca(X, T, variance=None)[source]¶
Multivariate Linear Regression using PCA reconstructions
Parameters: X: numpy.array :
The regression features used to create the coefficient matrix.
T: numpy.array :
The shapes differential that denote the dependent variable.
variance: float or None, Optional :
The SVD variance.
Default: None
Returns: mlr_pca_fitting: function/closure :
The closure of the regression method.
Raises: ValueError :
variance must be set to a number between 0 and 1