hyperspy.learn.mlpca module

hyperspy.learn.mlpca.mlpca(X, varX, p, convlim=1e-10, maxiter=50000, fast=False)

This function performs MLPCA with missing data.

  • X (numpy array) – is the mxn matrix of observations.
  • stdX (numpy array) – is the mxn matrix of standard deviations associated with X (zeros for missing measurements).
  • p (int) – The model dimensionality.

  • U,S,V (numpy array) – are the pseudo-svd parameters.
  • Sobj (numpy array) – is the value of the objective function.
  • ErrFlag ({0, 1}) – indicates exit conditions: 0 = nkmal termination 1 = max iterations exceeded.