upca.py 文件源码

def transform(self, X, STANDARDIZE=True):
      if not isinstance(X, np.ndarray):
          X =  to_array(X)
      assert(X.ndim == 2), "Input array must have two dimensions."
      if not check_standardized(X):
          if STANDARDIZE:
              X = preprocessing.scale(X)
              print "Standardize input data for transform"
      if not self.model:
          print "Load or fit a model before performing trsnaformation."
      else:
          assert(X.shape[1] > self.model.n_components),\
              "Input data must have a dimension larger than model components %d."\
              % self.model.n_components
          xp = self.model.transform(X)
          return xp